{"id":14958791,"url":"https://github.com/rohan-paul/machinelearning-deeplearning-code-for-my-youtube-channel","last_synced_at":"2025-04-04T22:04:32.251Z","repository":{"id":41184655,"uuid":"286073028","full_name":"rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel","owner":"rohan-paul","description":"The full collection of all codes for my Youtube Channel segregated as per 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## This Repo has all the codes for my [YouTube Channel](https://www.youtube.com/channel/UC0_a8SNpTFkmVv5SLMs1CIA/featured)\n\n[yt_cover]: /assets/Youtube_Cover.jpg\n\n[![Youtube Link][yt_cover]](https://www.youtube.com/channel/UC0_a8SNpTFkmVv5SLMs1CIA/videos)\n\n### Author: Rohan Paul\n\n#### Find me here..\n\n- 🐦 TWITTER: https://twitter.com/rohanpaul_ai\n- ​👨‍🔧​ KAGGLE: https://www.kaggle.com/paulrohan2020\n- 👨🏻‍💼 LINKEDIN: https://www.linkedin.com/in/rohan-paul-b27285129/\n- 👨‍💻 GITHUB: https://github.com/rohan-paul\n- 🤖 Substack : https://rohanpaul.substack.com/\n- 🧑‍🦰 FACEBOOK: https://www.facebook.com/rohanpaulai\n- 📸 INSTAGRAM: https://www.instagram.com/rohan_paul_2020/\n\n---\n\n[logo]: https://raw.githubusercontent.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-Youtube-Channel/master/assets/yt_logo.png\n\n\n\u003cbr\u003e\n\n\n\u003cdiv style=\"background: linear-gradient(45deg, #FFC300, #FF5733, #C70039, #900C3F); padding: 10px; border-radius: 5px; display: flex; align-items: center;\"\u003e\n    \u003ch1 style=\"font-weight: bold; color: white; margin: 0 auto;\"\u003e Natural Language Processing | NLP\u003c/h1\u003e\n\u003c/div\u003e\n\n\u003cbr\u003e\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=6DGYj1EEWOw\u0026list=PLxqBkZuBynVTzqUQCQFgetR97y1X_1uCI\u0026index=13\u0026ab_channel=Rohan-Paul-AI) [Mistral 7B FineTuning with_PEFT and QLORA](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/LLMs/Mistral_FineTuning_with_PEFT_and_QLORA.ipynb)\n\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=fEzuBFi35J4\u0026list=PLxqBkZuBynVTzqUQCQFgetR97y1X_1uCI\u0026index=11\u0026ab_channel=Rohan-Paul-AI) [Falcon finetuning on openassistant-guanaco](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/LLMs/Falcon-7B_FineTuning_with_PEFT_and_QLORA.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=J0RbOtLrJhQ\u0026list=PLxqBkZuBynVTzqUQCQFgetR97y1X_1uCI\u0026index=10\u0026ab_channel=Rohan-Paul-AI) [Fine Tuning Phi 1_5 with PEFT and QLoRA](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/LLMs/FineTuning_phi-1_5_with_PRFT_LoRA.ipynb)\n\n\n---------------------------\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=-rqmj_tfQLo\u0026list=PLxqBkZuBynVQEvXfJpq3smfuKq3AiNW-N\u0026index=34\u0026ab_channel=Rohan-Paul-AI) [DeBERTa Fine Tuning for Amazon Review Dataset Pytorch](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/NLP/DeBERTa%20Fine%20Tuning-for%20Amazon%20Review%20Dataset%20Pytorch.ipynb)\n\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=4nNbg4bWDrQ\u0026list=PLxqBkZuBynVQEvXfJpq3smfuKq3AiNW-N\u0026index=32\u0026ab_channel=Rohan-Paul-AI) [FineTuning BERT for Multi-Class Classification on custom Dataset](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/tree/master/NLP/FineTuning_BERT_for_Multi_Class_Classification_Turkish)\n\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=91msLyGC-LI\u0026list=PLxqBkZuBynVQEvXfJpq3smfuKq3AiNW-N\u0026index=28\u0026ab_channel=Rohan-Paul-AI) [Document STRIDE when Tokenizing with HuggingFace Transformer for NLP Projects](https://www.youtube.com/watch?v=91msLyGC-LI\u0026list=PLxqBkZuBynVQEvXfJpq3smfuKq3AiNW-N\u0026index=28\u0026ab_channel=Rohan-Paul-AI)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=cplo2UyNw24\u0026list=PLxqBkZuBynVQEvXfJpq3smfuKq3AiNW-N\u0026index=31\u0026ab_channel=Rohan-Paul-AI) [Fine-tuning of a PreTrained Transformer model - what really happens to the weights (parameters)]()\n\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=pqpaHeCsuVI\u0026list=PLxqBkZuBynVQEvXfJpq3smfuKq3AiNW-N\u0026index=30\u0026ab_channel=Rohan-Paul-AI) [Cerebras-GPT New Large Language Model Open Sourced with Apache 2.0 License](https://www.youtube.com/watch?v=pqpaHeCsuVI\u0026list=PLxqBkZuBynVQEvXfJpq3smfuKq3AiNW-N\u0026index=30\u0026ab_channel=Rohan-Paul-AI)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=6X0xfXMKCjM\u0026list=PLxqBkZuBynVQEvXfJpq3smfuKq3AiNW-N\u0026index=29\u0026ab_channel=Rohan-Paul-AI) [Roberta-Large Named Entity Recognizition on Kaggle NLP Competition with PyTorch](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/tree/master/NLP/Roberta-Large-NER-on-Kaggle-NLP%20Competition)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=EHtHF9Kvm0Y\u0026list=PLxqBkZuBynVTn2lkHNAcw6lgm1MD5QiMK\u0026index=28\u0026ab_channel=Rohan-Paul-AI) [Longformer end to end with Kaggle NLP competition](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/tree/master/NLP/Longformer%20end%20to%20end%20with%20Kaggle%20NLP%20competition)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=tvdIF1FU7fg\u0026list=PLxqBkZuBynVQEvXfJpq3smfuKq3AiNW-N\u0026index=24) [Zero Shot Multilingual Sentiment Classification with PyTorch Lightning](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/tree/master/NLP/zero_shot_multilingual_sentiment_classification_with_USEm)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=CwLPglxw1WA\u0026list=PLxqBkZuBynVQEvXfJpq3smfuKq3AiNW-N\u0026index=23) [Fine Tuning Transformer (BERT) for Customer Review Prediction | NLP | HuggingFace ](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/tree/master/NLP/Fine_Tuning_HuggingFace_Transformer_BERT_Yelp_Customer_Review_Predictions)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=30zPz5Xz-8g\u0026list=PLxqBkZuBynVQEvXfJpq3smfuKq3AiNW-N\u0026index=21) [Understanding BERT Embeddings and Tokenization | NLP | HuggingFace](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/tree/master/NLP/Understing_BERT_Embedding_Vector)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=fl0ow-nD8FM\u0026list=PLxqBkZuBynVQEvXfJpq3smfuKq3AiNW-N\u0026index=20) [Topic Modeling with BERTopic | arxiv-abstract dataset](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/tree/master/NLP/Topic-modeling-with-bertopic-arxiv-abstract)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=vrDdnQfav0s\u0026list=PLxqBkZuBynVTn2lkHNAcw6lgm1MD5QiMK\u0026index=21) [Latent Dirichlet Allocation (LDA) for Topic Modeling](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/NLP/Topic_Modeling_with_LDA.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=iCL1TmRQ0sk\u0026list=PLxqBkZuBynVQEvXfJpq3smfuKq3AiNW-N\u0026index=19) [Adding a custom task-specific Layer to a HuggingFace Pretrained Model](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/NLP/Add-task_specific_custom_layer_to_model.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=ZvsH09XGuZ0\u0026list=PLxqBkZuBynVQEvXfJpq3smfuKq3AiNW-N\u0026index=18) [Fine Tuning DistilBERT for Multiclass Text Classification](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/NLP/Multi-class-text-classifica_fine-tuning-distilbert.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=dzyDHMycx_c\u0026list=PLxqBkZuBynVQEvXfJpq3smfuKq3AiNW-N\u0026index=18) [Fine Tuning BERT for Named Entity Recognition (NER)](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/NLP/YT_Fine_tuning_BERT_NER_v1.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=fLqiPks4neU\u0026list=PLxqBkZuBynVQEvXfJpq3smfuKq3AiNW-N\u0026index=15) [Text Summarization by Fine Tuning Transformer Model | NLP ](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/NLP/Fine_Tuning_Pegasus_for_Text_Summarization.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=HDSNjrxSwqw\u0026list=PLxqBkZuBynVQEvXfJpq3smfuKq3AiNW-N\u0026index=14) [Text Summarization with Transformer - BART + T5 + Pegasus\n  ](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/NLP/Text_Summarization_%20BART%20_T5_Pegasus.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=oxEXBJQG27A\u0026list=PLxqBkZuBynVQEvXfJpq3smfuKq3AiNW-N\u0026index=13) [Debarta-v3-large model fine tuning for Kaggle Competition Feedback-Prize | NLP](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/NLP/debarta-v3-large-For_Kaggle_Competition_Feedback-Prize/debarta-v3-large-For_Kaggle_Competition_Feedback-Prize.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=SmWbKiueYVU\u0026list=PLxqBkZuBynVQEvXfJpq3smfuKq3AiNW-N\u0026index=12) [Topic Modeling with BERT and Automatic Cluster Labeling](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/NLP/Topic_Modeling_with_BERT_and_Automatic_cluster_labeling/Topic_Modeling.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=Ua_ToM-CG5Q\u0026list=PLxqBkZuBynVQEvXfJpq3smfuKq3AiNW-N\u0026index=11) [Decoding strategies while generating text with GPT-2](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/NLP/Decoding_Strategies_for_text_generation/Decoding_Strategies_for_text_generation.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=VrJwKdls6d4\u0026list=PLxqBkZuBynVTn2lkHNAcw6lgm1MD5QiMK\u0026index=12) [Fake News Classification with LSTM and Tensorflow\n  ](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/NLP/Fake_News_Classification_with_LSTM_Tensorflow.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=hgg2GAgDLzA\u0026list=PLxqBkZuBynVQEvXfJpq3smfuKq3AiNW-N\u0026index=11) [FinBERT Sentiment Analysis for very Long Text (more than 512 Tokens) | PART 2](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/NLP/FinBERT_Long_Text_Part_2.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=WEAAs_0etJQ\u0026list=PLxqBkZuBynVQEvXfJpq3smfuKq3AiNW-N\u0026index=9) [FinBERT Sentiment Analysis for very Long Text Corpus (more than 512 Tokens) | PART-1](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/NLP/FinBERT_Long_Text_Part_2.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=fwDTLQDKJTE\u0026list=PLxqBkZuBynVQEvXfJpq3smfuKq3AiNW-N\u0026index=8) [Cosine Similarity between sentences with Transformers HuggingFace](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/NLP/Cosine_Similarity_between_sentences_with_Transformers.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=urMUa4Nw_B8\u0026list=PLxqBkZuBynVQEvXfJpq3smfuKq3AiNW-N\u0026index=7) [Zero Shot Learning - Cross Lingual Named Entity Recognition with XLM-Roberta](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/NLP/Zero_Shot_Learning_multilingual-NER.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=Hp8_Enwzdxk\u0026list=PLxqBkZuBynVQEvXfJpq3smfuKq3AiNW-N\u0026index=6) [BERT from Hugging Face - Few Baseline Application | NLP](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/NLP/BERT_HuggingFace_Basic_Usages.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=CHFiTTPeyUw\u0026list=PLxqBkZuBynVTn2lkHNAcw6lgm1MD5QiMK\u0026index=9) [Transformer Encoder with Scaled Dot Product from Scratch](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/NLP/Transformer_From_Scratch/Transformer_From_Scratch.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=_IGdekeBCoE\u0026list=PLxqBkZuBynVTn2lkHNAcw6lgm1MD5QiMK\u0026index=7) [Fuzzy String Matching in Natural Language Processing | NLP](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/NLP/Fuzzy-String-Matching.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=SzSANHjYhfg\u0026list=PLxqBkZuBynVTn2lkHNAcw6lgm1MD5QiMK\u0026index=6) [Understanding Word Vectors usage with Spacy Word and Sentence Similarity](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/NLP/Word-Vectors-Understanding-with-Spacy.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=TxTxWAohW7E\u0026list=PLxqBkZuBynVTn2lkHNAcw6lgm1MD5QiMK\u0026index=5) [Named Entity Recognition NER using spaCy - Extracting Subject Verb Action](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/NLP/Named_Entity_Recognition_NER_using_spaCy%20-%20Extracting_Subject_Verb_Action.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=zcW2HouIIQg\u0026list=PLxqBkZuBynVQEvXfJpq3smfuKq3AiNW-N\u0026index=5) [Fine-Tuning-DistilBert - Hugging Face Transformer for Poem Sentiment Prediction | NLP](https://bit.ly/3QvJ5UH)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=0Y03waAL4Gw\u0026list=PLxqBkZuBynVTn2lkHNAcw6lgm1MD5QiMK\u0026index=4) [Fine Tuning BERT-Based-Uncased Hugging Face Model on Kaggle Hate Speech Dataset](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/NLP/bert-base-uncased-fine-tuned-kaggle-hate-speech-dataset.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=DpzQNQI-S3s\u0026list=PLxqBkZuBynVQEvXfJpq3smfuKq3AiNW-N\u0026index=3) [Text Analytics of Tweet Emotion - EDA with Plotly](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/NLP/Text%20Analytics%20of%20Tweet%20Emotion%20-%20EDA%20with%20Plotly.ipynb)\n\n- [![Youtube Link][logo]](https://bit.ly/3Nk0zRA) [Sentiment analysis using TextBlob and Vader](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/NLP/sentiment_analysis_textblob_Vader.ipynb)\n\n\n\u003cbr\u003e\n\n\u003cdiv style=\"background: linear-gradient(45deg, #FFC300, #FF5733, #C70039, #900C3F); padding: 10px; border-radius: 5px; display: flex; align-items: center;\"\u003e\n    \u003ch1 style=\"font-weight: bold; color: white; margin: 0 auto;\"\u003e Finance and Trading with Machine Learning and Deep Learning\u003c/h1\u003e\n\u003c/div\u003e\n\n\u003cbr\u003e\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=G7jYn3dlYKw\u0026list=PLxqBkZuBynVS8mDTc8ZGermXiS-32pR2y\u0026index=42\u0026ab_channel=Rohan-Paul-AI) [Feature-Engineering-with-Stock-Exchange-Dataset | and LGBM Model to get Most Important Features Set](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/Finance_Stock_Crypto_Trading/Feature-Engineering-with-Stock-Exchange-Dataset-LGBM_Kaggle_Tokeyo-SE.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=B7XgA0OmQl8\u0026list=PLxqBkZuBynVS8mDTc8ZGermXiS-32pR2y\u0026index=39\u0026ab_channel=Rohan-Paul-AI) [LGBM (LightGBM) Model on TimeSeries Data of Cryptocurrency Prices | Crypto with Machine Learning](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/Finance_Stock_Crypto_Trading/Crypto_with_MachineLearning/LGBM%20on%20TimeSeries%20Data%20of%20Cryptocurrency%20Prices.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=mUYXhzVrDF8\u0026list=PLxqBkZuBynVS8mDTc8ZGermXiS-32pR2y\u0026index=38\u0026ab_channel=Rohan-Paul-AI) [Feature Engineering for Bitcoin Time Series | Prediction with XGBoost](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/tree/5f61de96dd9e06b8a022d852137891b4de59d585/Finance_Stock_Crypto_Trading/Crypto_with_MachineLearning/Feature%20Engineering%20for%20Bitcoin%20Time%20Series%20and%20Price%20Prediction%20with%20XGBoost)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=da5GNkAZO54\u0026list=PLxqBkZuBynVS8mDTc8ZGermXiS-32pR2y\u0026index=37\u0026ab_channel=Rohan-Paul-AI) [Bitcoin Price Prediction with FB Prophet | Time Series with Machine Learning](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/Finance_Stock_Crypto_Trading/Bitcoin%20Price%20Prediction%20with%20FB%20Prophet.ipynb#enroll-beta)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=gSla-OiUjVo\u0026list=PLxqBkZuBynVS8mDTc8ZGermXiS-32pR2y\u0026index=35\u0026ab_channel=Rohan-Paul-AI) [FB Prophet - Analyze How Holidays affect a Time Series Forecast | Time Series with Machine Learning](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/tree/master/Time-Series/FB%20Prophet-Analyze-Holidays)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=K_9G29R01kw\u0026list=PLxqBkZuBynVS8mDTc8ZGermXiS-32pR2y\u0026index=34\u0026ab_channel=Rohan-Paul-AI) [XGBoost for Time Series | Forecast Consumption Demand with Machine-Learning](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/tree/master/Time-Series/XGBoost_for_TIme_Series_Dataset_Demand_Forecasting)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=0gXeXtL_KjY\u0026list=PLxqBkZuBynVS8mDTc8ZGermXiS-32pR2y\u0026index=16) [Bitcoin Prediction - FB-Prophet outperforms ARIMAX, XGBOOST \u0026 LSTM](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/Finance_Stock_Crypto_Trading/Bitcoin_Price_Prediction_FBPROPHET_outperform_ARIMAX_XGBOOST_LSTM.ipynb)\n\n- [![Youtube Link][logo]](https://youtu.be/r2Ee1HGs41I) **28.** [Bitcoin Price Prediction with LSTM (Tensorflow and Keras)- PART-2](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/Finance_Stock_Crypto_Trading/Bitcoin_Price_Prediction_with_LSTM.ipynb)\n\n- [![Youtube Link][logo]](https://youtu.be/blOLAVz9UhQ) **25.** [Bitcoin Price Prediction with LSTM (Tensorflow and Keras)- PART-1](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/Finance_Stock_Crypto_Trading/Bitcoin_Price_Prediction_with_LSTM.ipynb)\n\n- [![Youtube Link][logo]](https://bit.ly/3mwv2kJ) **24.** [Get BitCoin and other Cryptocurrency Historic Data For Free with Python](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/Finance_Stock_Crypto_Trading/Historic_Crypto.ipynb)\n\n- [![Youtube Link][logo]](https://youtu.be/_3rIOGR-jh0?list=PLxqBkZuBynVR0Tw4dRwhpBcVBwePdLv8y) **23** [Extract Stock Market Data with yfinance for free and Tesla Stock Prediction](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/Finance_Stock_Crypto_Trading/yfinance_stock_data_pulling_TESLA_and_price_prediction_with_Time_Series.ipynb)\n\n\u003cbr\u003e\n\n\n# Computer Vision \u0026 Deep Learning Algorithms\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=csQj1e6Oj38\u0026list=PLxqBkZuBynVRyOJs4RWmB_fKlOVe5S8CR\u0026index=34) [DCGAN from Scratch with Tensorflow - Create Fake Images from CELEB-A Dataset ](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/Computer_Vision/DCGAN%20from%20Scratch%20with%20TensorFlow%20-%20Generate%20fake%20Faces%20from%20CelebA%20Dataset/DCGAN_with_Tensorflow_Keras_Celeb_A_Dataset.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=cFld9T5xZqo\u0026list=PLxqBkZuBynVRyOJs4RWmB_fKlOVe5S8CR\u0026index=33) [DCGAN's Generator Function - Understand Filter Size, Input Shape](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/Computer_Vision/DCGAN%20from%20Scratch%20with%20TensorFlow%20-%20Generate%20fake%20Faces%20from%20CelebA%20Dataset/DCGAN_Generator_Function_Understanding_Filter_Size_and_Input_Shape.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=yOtdN6W4O_0\u0026list=PLxqBkZuBynVRyOJs4RWmB_fKlOVe5S8CR\u0026index=32) [PyTorch DCGAN Implementation from Scratch | Deep Learning](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/tree/master/Computer_Vision/DCGAN-from-Scratch-with-PyTorch)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=yeqWzw19V04\u0026list=PLxqBkZuBynVRyOJs4RWmB_fKlOVe5S8CR\u0026index=31) [CycleGAN Architecture and Paper Walkthrough]()\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=wHo4N3njxDY\u0026list=PLxqBkZuBynVRyOJs4RWmB_fKlOVe5S8CR\u0026index=30) [PyTorch CycleGAN Paper Implementation from Scratch](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/tree/master/Computer_Vision/CycleGAN_From_Scratch_PyTorch)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=Jeget7bOHhI\u0026list=PLxqBkZuBynVRyOJs4RWmB_fKlOVe5S8CR\u0026index=29) [Wasserstein GAN (WGAN) Architecture Understanding]()\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=5eVb91eQBTM\u0026list=PLxqBkZuBynVRyOJs4RWmB_fKlOVe5S8CR\u0026index=28) [PyTorch Wasserstein GAN (WGAN) Implementation from scratch](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/tree/master/Computer_Vision/WGAN_WITHOUT_Gradient_Penalty_from_Scratch_PyTorch)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=rJvGJwmVFzA\u0026list=PLxqBkZuBynVRyOJs4RWmB_fKlOVe5S8CR\u0026index=27) [PyTorch Wasserstein GAN (WGAN) with Gradient Penalty from scratch](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/tree/master/Computer_Vision/WGAN_with_Gradient_Penalty_from_Scratch_PyTorch)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=Snqb7Usrauw\u0026list=PLxqBkZuBynVRyOJs4RWmB_fKlOVe5S8CR\u0026index=26) [PyTorch ConditionalGAN (Generative Adversarial Networks) from Scratch](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/tree/master/Computer_Vision/Conditional%20GAN%20From%20Scratch%20with%20PyTorch)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=yOtdN6W4O_0\u0026list=PLxqBkZuBynVRyOJs4RWmB_fKlOVe5S8CR\u0026index=23) [PyTorch DCGAN Implementation from Scratch](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/tree/master/Computer_Vision/DCGAN-from-Scratch-with-PyTorch)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=csQj1e6Oj38\u0026list=PLxqBkZuBynVRyOJs4RWmB_fKlOVe5S8CR\u0026index=22) [DCGAN from Scratch with Tensorflow - Create Fake Images from CELEB-A Dataset](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/Computer_Vision/DCGAN%20from%20Scratch%20with%20TensorFlow%20-%20Generate%20fake%20Faces%20from%20CelebA%20Dataset/DCGAN_with_Tensorflow_Keras_Celeb_A_Dataset.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=LG8lbm_W380\u0026list=PLxqBkZuBynVRMORlFw95iNTp9aZzmmz4Y\u0026index=15) [Run Length Encoding in Image Segmentation](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/Computer_Vision/run_length_encoding.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=Fjw7WbFDUQI\u0026list=PLxqBkZuBynVRyOJs4RWmB_fKlOVe5S8CR\u0026index=26) [PyTorch | Inception-v4 (PreTrained) - Aerial Image Segmentation](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/tree/master/Aerial-Drone-Images-Semantic-Segmentation-PyTorch-Inception-V4-Pretrained)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=7yCX7-wrXw4\u0026list=PLxqBkZuBynVRyOJs4RWmB_fKlOVe5S8CR\u0026index=25) [Mean-IoU (Intersection over Union) in Object Detection | Semantic Segmentation](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/mean_iou.py)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=Ns9xytwfsD0\u0026list=PLxqBkZuBynVRyOJs4RWmB_fKlOVe5S8CR\u0026index=24) [Pixel Accuracy in Image Segmentation | Object Detection](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/tree/master/Computer_Vision/Pixel_Accuracy)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=vGLazsy0ekQ\u0026list=PLxqBkZuBynVRyOJs4RWmB_fKlOVe5S8CR\u0026index=23) [Hausdorff Distance used in Object Detection | Semantic Segmentation ](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/Computer_Vision/Hausdorff_Distance.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=X1q993i7Gic\u0026list=PLxqBkZuBynVRyOJs4RWmB_fKlOVe5S8CR\u0026index=22) [Unet Brain-MRI-Segmentation | TensorFlow](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/tree/master/Computer_Vision/Unet-Brain-MRI-Segmentation-Tensorflow-Keras)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=Pk7o3r220ik\u0026list=PLxqBkZuBynVRyOJs4RWmB_fKlOVe5S8CR\u0026index=20) [Dice Coefficient from Scratch](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/tree/master/Computer_Vision/Dice_Coeffiecient_from_Scratch)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=OC5QBf6mt2A\u0026list=PLxqBkZuBynVRyOJs4RWmB_fKlOVe5S8CR\u0026index=19) [Detectron-2 Object Detection - Apply Bounding Boxes in 2 Minutes | Deep Learning](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/tree/master/Computer_Vision/Detectron-2-on-Single-Image-Bounding_Boxes)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=yWLK8YSYhxo\u0026list=PLxqBkZuBynVRyOJs4RWmB_fKlOVe5S8CR\u0026index=18) [MNIST - 99.7% Accuracy with LeNet5 | TensorFlow ](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/Computer_Vision/MNIST_LeNet5_Ensemble_TensorFlow_High_Accuracy.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=CZNYrkdDrmQ\u0026list=PLxqBkZuBynVRyOJs4RWmB_fKlOVe5S8CR\u0026index=12) **57.** [GoogLeNet / Inception v1 Paper Implementation From Scratch with PyTorch](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/Computer_Vision/57-GoogLeNet_Inception-v1_From_Scratch_PyTorch)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=P8U1VL93jzA\u0026list=PLxqBkZuBynVRX6QExfPyzRGj5Ap_zmcAJ\u0026index=6) **56.** [ResNet Paper Implementation From Scratch with PyTorch](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/Computer_Vision/56-ResNet56_From_Scratch_PyTorch.ipynb)\n\n- [![Youtube Link][logo]](https://youtu.be/Uq5sQUoLXpA) **43.** [LeNet5 Implementation From Scratch in PyTorch](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/Computer_Vision/43_LeNet5_Colab_From_Scratch_PyTorch.ipynb)\n\n- [![Youtube Link][logo]](https://youtu.be/WJh3diVLUcY) **42.** [EfficientNet Pre-Trained with PyTorch - Covid-19 X-Ray Dataset](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/Computer_Vision/42-EfficientNet_Pretrained_Pytorch_Covid_19_X_Rays.ipynb)\n\n- [![Youtube Link][logo]](https://youtu.be/D0MWQ8J8lZc) **37.** [Deep Neural Network with PyTorch - FMNIST-Dataset](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/Computer_Vision/FMNIST_Deep_Neural_Netork_Base_Pytorch_Model/Deep-Neural-Network-with-PyTorch-FMNIST-Dataset.ipynb)\n\n- [![Youtube Link][logo]](https://youtu.be/CqnvNgr5050) **36.** [Why We Scale images for Neural Network](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/Computer_Vision/Why_We_Scale_images_for_Neural_Network/Why_We_Scale_images_for_Neural_Network.ipynb)\n\n---\n\n# PyTorch Techniques for Deep Learning\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=gbA9M4Ix6xw\u0026list=PLxqBkZuBynVQqJTE9nRM2p7Tb12TDPlnq\u0026index=12) **61.** [Learning Rate Scheduler | PyTorch | Implementing Custom Scheduler for CycleGAN](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/PyTorch-Techniques/61-Learning-Rate-Scheduler-PyTorch-including-Custom.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=ys3VRBW4qx8\u0026list=PLxqBkZuBynVRyOJs4RWmB_fKlOVe5S8CR\u0026index=10) **55.** [LeNet from Scratch - Shape Calculation @ each Layer](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/PyTorch-Techniques/55-LeNet5-Shape-Calculation.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=RPvx3yZ2fc8\u0026list=PLxqBkZuBynVQqJTE9nRM2p7Tb12TDPlnq\u0026index=10) **54.** [Quantization in PyTorch | Mixed Precision Training ](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/PyTorch-Techniques/54-Quantization-Mixed-Precision.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=SWqDVkYnSYQ\u0026list=PLxqBkZuBynVQqJTE9nRM2p7Tb12TDPlnq\u0026index=9) **53.** [Plotting Activation Functions PyTorch | Sigmoid | ReLU | Tanh](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/PyTorch-Techniques/53-Visualizing-Activation-Functions-PyTorch.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=qQ6xbv5kPxE\u0026list=PLxqBkZuBynVQqJTE9nRM2p7Tb12TDPlnq\u0026index=8) **52.** [Input Shape of Tensor for PyTorch Neural-Network - Conv-Layer and-Linear-Layer](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/PyTorch-Techniques/52-Input-Shape-of-Conv-Layer-and-Linear-Layer-of-PyTorch-Neural-Network.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=h3M3Ob0zgkc\u0026list=PLxqBkZuBynVRMORlFw95iNTp9aZzmmz4Y\u0026index=7) **50.** [Cross Entropy Loss in PyTorch and its relation with Softmax](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/PyTorch-Techniques/50-Cross-Entropy-Loss-from-Scratch-PyTorch.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=ae8Iz6wDKek\u0026list=PLxqBkZuBynVQqJTE9nRM2p7Tb12TDPlnq\u0026index=3) **48.** [Get Total Number of Parameters in a PyTorch Neural Network Model ](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/PyTorch-Techniques/48-get_total_number_of_parameters_of_a_neural_network_mode_pytorch.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=ae8Iz6wDKek\u0026list=PLxqBkZuBynVQqJTE9nRM2p7Tb12TDPlnq\u0026index=3) **47.** [Dropout Layer in PyTorch Neural Network ](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/PyTorch-Techniques/47-Dropout-Layer.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=PIpJn8TZJO8\u0026list=PLxqBkZuBynVQqJTE9nRM2p7Tb12TDPlnq\u0026index=2) **46.** [Label Smoothing Cross-Entropy-Loss from Scratch with PyTorch](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/PyTorch-Techniques/46-Label-Smoothing-CrossEntropyLoss-Scratch.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=hZE4Nja5zKA\u0026list=PLxqBkZuBynVQqJTE9nRM2p7Tb12TDPlnq\u0026index=1) **44.** [Control Weight Decay in a PyTorch Neural Network](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/PyTorch-Techniques/44-Weight-Decay-PyTorch.ipynb)\n\n---\n\n# Image Processing, Image Augmentation and OpenCV\n\n- [![Youtube Link][logo]](https://youtu.be/YLzhTG1ILaY) **40.** [Image Augmentation with Albumentation - Kaggle TensorFlow Great Barrier Reef Dataset](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/Computer_Vision/40_Image_Augmentation_with_Albumentation_TensorFlow_Great_Barrier_Reef.ipynb)\n\n- [![Youtube Link][logo]](https://youtu.be/DfsC4JNhsPA) **31.** [Understanding Shi-Tomasi Corner Detection Algorithm with OpenCV and Python](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/OpenCV_Image_Processing/Shi-Tomasi-Corner-Detection/ShiTomasiCornerDetection_GoodFeaturesToTrack.ipynb)\n\n- [![Youtube Link][logo]](https://youtu.be/dybSaVseFoM) **30.** [Understanding Harris Corner Detection Algorithm with OpenCV Python](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/OpenCV_Image_Processing/Harris_Corner_Detection/Harris_Corner_Detection.ipynb)\n\n- [![Youtube Link][logo]](https://youtu.be/I8kwtcVSEDk) **29.** [Python Image Processing - Grayscale Conversion and Brightness Increase from Scratch Python](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/OpenCV_Image_Processing/GrayScale_Brightness/GrayScale_Brightness.ipynb)\n\n---\n\n# Computer Vision Paper Discussion\n\n- [![Youtube Link][logo]](https://youtu.be/clkFRyecQFw?list=PLxqBkZuBynVRRf6STJ4A2Rrd-qo6oMleO) **26** 𝗣𝗮𝗽𝗲𝗿 𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗲𝗱 - 𝗘𝘆𝗲𝘀 𝗧𝗲𝗹𝗹 𝗔𝗹𝗹 - 𝗗𝗲𝘁𝗲𝗰𝘁 𝗙𝗮𝗸𝗲 𝗔𝗜 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗲𝗱 𝗳𝗮𝗰𝗲𝘀 ( 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 / 𝗚𝗔𝗡𝘀 )\n\n- [![Youtube Link][logo]](https://youtu.be/d9ggCKl7sNQ) **14.** GFP GAN Paper with Python code to restore resolution of old Photos\n\n# Tensorflow\n\n- [![Youtube Link][logo]](https://youtu.be/DNjqRL4NYTU?list=PLxqBkZuBynVQLW_TF7iIUKsWVCG-hCQFz) **15** [Keras Custom Layers and Fundamental Building Blocks For Training Model](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/TensorFlow/Keras_Custom_Layers_Building_Blocks/Keras_Custom_Layers_Building_Blocks.ipynb)\n\n- [![Youtube Link][logo]](https://youtu.be/Kvy65eGF2Bs) **11.** [Tensorflow Mixed Precision Training - CIFAR10 dataset Implementation](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/TensorFlow/mixed-precision_training/mixed-precision_training.py)\n\n- [![Youtube Link][logo]](https://youtu.be/UNfxShN6vp4) **8.** [Tensorflow Fundamentals in 45 minutes](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-Youtube-Channel/blob/master/TensorFlow/TF_Fundaments_YT/Fundamentals_TF_v1_YT.ipynb)\n\n---\n\n# Kaggle Competitions / Data Science Project\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=mRUEicBk1No\u0026list=PLxqBkZuBynVS8mDTc8ZGermXiS-32pR2y\u0026index=33\u0026ab_channel=Rohan-Paul-AI) [Bidirectional LSTM for Kaggle Competition(Ventilator Pressure Prediction) | PyTorch](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/tree/master/Kaggle_Competition/Bidirectional-LSTM-Kaggle-Ventilator-Pressure-Prediction).\n\n- [![Youtube Link][logo]](https://bit.ly/2Z2PUXl) **22.** [Predict Transaction Value of Bank Customer - Kaggle Santander Challenge](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/Kaggle_Competition/Santander-Kg-Value-Prediction-Challenge/NoteBooks/Santender_v3.ipynb).\n\n- [![Youtube Link][logo]](https://youtu.be/QI0qjDfMtAw) **17.** [Kaggle - Microsoft Malware Detection-BIG 2015](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/Kaggle_Competition/Microsoft_Malware_Classification_BIG_2015/Microsoft_Malware_BIG_2015_Kaggle.ipynb).\n\n- [![Youtube Link][logo]](https://youtu.be/UeI4-kyuAwI) **7.** [Kaggle - Gravitational Wave Detection EDA and Baseline Keras Model](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-Youtube-Channel/blob/master/Kaggle_Competition/Gravitational_Waves/EDA_CQT_Keras_Baseline.ipynb)\n\n---\n\n# Neural Network\n\n- [![Youtube Link][logo]](https://youtu.be/arm9wLAk44A) **9.** [Chain Rule Math in Backpropagation](https://rohanpaul.substack.com/p/neural-network-implementing-backpropagation)\n\n- [![Youtube Link][logo]](https://youtu.be/QQkrIlISzP0) **13.** [Neural Network Implementation From Scratch in Python](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/Neural_Network/13-Neural_Network_Forward_and_Back_Propagation_Implementation_From_Scratch_Sept_2021)\n\n- [![Youtube Link][logo]](https://youtu.be/AIK6Gi3NUhI?list=PLxqBkZuBynVRyOJs4RWmB_fKlOVe5S8CR) **41.** [Understanding the Mathematics of Gram Matrix and Why its needed for Neural Style Transfer](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/Computer_Vision/41-GramMatrixForNeuralStyleTransfer.ipynb)\n\n---\n\n# Python_Challenges\n\n- [![Youtube Link][logo]](https://youtu.be/41scxhCAs08) **12.** [Codewars Python Solution - 6kyu - Format words into Sentence](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-Youtube-Channel/blob/master/Python_Challenges/Codewar-solutions/6kyu/format_words_into_a_sentence.py)\n\n- [![Youtube Link][logo]](https://youtu.be/dO0g081YOxw) **10.** [High Precision Timestamp in Python](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-Youtube-Channel/blob/master/Python_Challenges/Python_Best_Practices/high-precision-clock-in-python.py)\n\n- [![Youtube Link][logo]](https://youtu.be/ys2-9rMLesc) **6.** [Find Prime Factors of a Number in Python](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-Youtube-Channel/tree/master/Python_Challenges/Prime-Numbers)\n\n- [![Youtube Link][logo]](https://youtu.be/XI1FA1dehxk) **4.** [Useful Python Script - remove special character from files and folder names](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-Youtube-Channel/blob/master/Python_Challenges/File_System/remove-special-character-with-isalpha.py)\n\n- [![Youtube Link][logo]](https://youtu.be/W2afuQ1-cNs) **2.** [Python - Replace string in File and Directory names recursively](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-Youtube-Channel/blob/master/Python_Challenges/File_System/Python-Replace-String-in-File-Directory/python-Replace-String-in-File-Directory-Recursively.py)\n\n---\n\n# Machine Learning Algo Implementations from Scratch with pure Python\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=TO193TEfRRc\u0026list=PLxqBkZuBynVRX6QExfPyzRGj5Ap_zmcAJ\u0026index=23\u0026ab_channel=Rohan-Paul-AI) [Lasso Regression from Scratch](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/tree/master/ML_Algos_From_Scratch/Lasso%20Regression%20from%20Scratch)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=sXYUhT1SflI\u0026list=PLxqBkZuBynVRX6QExfPyzRGj5Ap_zmcAJ\u0026index=21\u0026ab_channel=Rohan-Paul-AI) [Polynomial Regression From Scratch](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/ML_Algos_From_Scratch/Polynomial_Regression_from_scratch.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=8YJRtyx10vw\u0026list=PLxqBkZuBynVRMORlFw95iNTp9aZzmmz4Y) **21.** [RandomizedSearchCV From Scratch without scikit-learn](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/ML_Algos_From_Scratch/RandomSearchCV_From_Scratch.ipynb)\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=8YJRtyx10vw\u0026list=PLxqBkZuBynVRMORlFw95iNTp9aZzmmz4Y) **20.** [GridSearchCV from Scratch without using Sckit-Learn](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/blob/master/ML_Algos_From_Scratch/GridSearchCV_with_KNN_From_Scratch.ipynb)\n\n---\n\n# Statistics\n\n- [![Youtube Link][logo]](https://www.youtube.com/watch?v=M7PgCJ-5twg\u0026list=PLxqBkZuBynVRMORlFw95iNTp9aZzmmz4Y\u0026index=18) [Linear Regression From Scratch with Pure Python](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel/tree/master/ML_Algos_From_Scratch/Linear%20Regression%20From%20Scratch%20with%20Pure%20Python)\n\n- [![Youtube Link][logo]](https://youtu.be/vQ3Bpgeo7Ik) **5.** Bayes Theorem in Probability implementation - simple Data Science Interview question\n\n- [![Youtube Link][logo]](https://youtu.be/s1pgr_XHCkM) **3.** [Probability Density Function for Discrete and Continuous Random Variable in context of Data Science](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-Youtube-Channel/blob/master/Statistics/Discrete-vs-Continuous-Prob-Distributions/continuous-random_variable-pdf-interpretation.ipynb)\n\n- [![Youtube Link][logo]](https://youtu.be/w2WrskWX60o) **1.** [Standard Deviation in Python, Numpy and Pandas](https://github.com/rohan-paul/MachineLearning-DeepLearning-Code-for-my-Youtube-Channel/tree/master/Statistics/Standard-Deviation)\n\n---\n\n- [![Youtube Link][logo]]() []()\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frohan-paul%2Fmachinelearning-deeplearning-code-for-my-youtube-channel","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frohan-paul%2Fmachinelearning-deeplearning-code-for-my-youtube-channel","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frohan-paul%2Fmachinelearning-deeplearning-code-for-my-youtube-channel/lists"}