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awesome-kaggle-kernels
Compilation of good Kaggle Kernels.
https://github.com/alfarias/awesome-kaggle-kernels
Last synced: about 17 hours ago
JSON representation
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Data Visualization
- **Altair visualization: 2018 StackOverflow survey**
- **Plotly Tutorial for Beginners**
- **Visualization: Bokeh Tutorial Part 1**
- **Interactive Bokeh Tutorial Part 2**
- **Tutorial: Interactive data visualizations [R
- **Interactive Viz - UFC with Altair**
- **EDA using Pyviz**
- **Interactive Exploratory Data Analysis**
- **Advanced Pyspark for Exploratory Data Analysis**
- **Creating a Good Analytics Report**
- **Visual data analysis in Python**
- **Patterns of Missing Data**
- **Basic EDA with Images**
- **Matplotlib Plotting Guide**
- **Plotting with Python: learn 80 plots STEP by STEP**
- **Seaborn and Plotly**
- **Seaborn Tutorial for Beginners**
- **Altair visualization: 2018 StackOverflow survey**
- **Plotly Tutorial for Beginners**
- **Visualization: Bokeh Tutorial Part 1**
- **Interactive Bokeh Tutorial Part 2**
- **Tutorial: Interactive data visualizations [R
- **Beginners guide to Highchart Visual in R**
- **Interactive Viz - UFC with Altair**
- **EDA using Pyviz**
- **Interactive Exploratory Data Analysis**
- **Advanced Pyspark for Exploratory Data Analysis**
- **Seaborn Tutorial for Beginners**
- **Patterns of Missing Data**
- **Basic EDA with Images**
- **Matplotlib Plotting Guide**
- **Seaborn and Plotly**
- **Beginners guide to Highchart Visual in R**
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Forecasting
- **Time Series Prediction Tutorial with EDA**
- **Back to (predict) the future - Interactive M5 EDA [R
- **EDA + Prophet + MLP Neural Network Forecasting**
- **Predicting stock movement**
- **Time Series Prediction Tutorial with EDA**
- **Back to (predict) the future - Interactive M5 EDA [R
- **EDA + Prophet + MLP Neural Network Forecasting**
- **Predicting stock movement**
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Natural Language Processing
- **Data Science with DL & NLP: Advanced Techniques**
- **A mind map for of NLP**
- **NLP Cheatsheet - Master NLP**
- **Approaching (Almost) Any NLP Problem on Kaggle**
- **Regex Primer**
- **How to Preprocessing when using embeddings**
- **How To Preprocessing for GloVe Part 1: EDA**
- **How To Preprocessing for GloVe Part 2: Usage**
- **Gensim Word2Vec Tutorial**
- **Hitchhiker's Guide to NLP in spaCy**
- **Tutorial on topic modelling-LDA&NLP**
- **Treemap House of Horror: Spooky EDA/LDA/Features [R
- **Movie Review Sentiment Analysis EDA and models**
- **Loading BERT using pytorch (with tokenizer & apex)**
- **Text modelling in Pytorch v2**
- **CNN in keras on folds**
- **Data Science with DL & NLP: Advanced Techniques**
- **A mind map for of NLP**
- **NLP Cheatsheet - Master NLP**
- **Approaching (Almost) Any NLP Problem on Kaggle**
- **Regex Primer**
- **How to Preprocessing when using embeddings**
- **How To Preprocessing for GloVe Part 1: EDA**
- **How To Preprocessing for GloVe Part 2: Usage**
- **Gensim Word2Vec Tutorial**
- **Tutorial on topic modelling-LDA&NLP**
- **Treemap House of Horror: Spooky EDA/LDA/Features [R
- **Movie Review Sentiment Analysis EDA and models**
- **Loading BERT using pytorch (with tokenizer & apex)**
- **Text modelling in Pytorch v2**
- **CNN in keras on folds**
- **BERT for Humans: Tutorial+Baseline (Version 2)**
- **Clickbait News - BERT PyTorch**
- **Bert-base TF2.0 (now Huggingface transformer)**
- **DistilBert + Catalyst, amazon product reviews**
- **Vowpal Wabbit tutorial: blazingly fast learnin**
- **BERT for Humans: Tutorial+Baseline (Version 2)**
- **Clickbait News - BERT PyTorch**
- **Bert-base TF2.0 (now Huggingface transformer)**
- **DistilBert + Catalyst, amazon product reviews**
- **Vowpal Wabbit tutorial: blazingly fast learnin**
- **Hitchhiker's Guide to NLP in spaCy**
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Reinforcement Learning
- **Reinforcement Learning for Meal Planning in Python**
- **Learn by example Reinforcement Learning with Gym**
- **Crash Course in Reinforcement Learning**
- **Deep Reinforcement Learning on Stock Data**
- **RL from Scratch Part 1: Defining the Environment**
- **RL from Scratch Part 2: Understanding RL Parameters**
- **Reinforcement Learning for Meal Planning in Python**
- **Learn by example Reinforcement Learning with Gym**
- **Crash Course in Reinforcement Learning**
- **Deep Reinforcement Learning on Stock Data**
- **RL from Scratch Part 1: Defining the Environment**
- **RL from Scratch Part 2: Understanding RL Parameters**
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Competitions (Kernel Examples)
- **NFL Injury Analysis**
- **NFL Punt Analytics**
- **IEEE-CIS Fraud Detection**
- **Elo Merchant Category Recommendation**
- **Santander Customer Transaction Prediction**
- **Porto Seguro’s Safe Driver Prediction [R
- **NFL Injury Analysis**
- **NFL Punt Analytics**
- **IEEE-CIS Fraud Detection**
- **Elo Merchant Category Recommendation**
- **Santander Customer Transaction Prediction**
- **Porto Seguro’s Safe Driver Prediction [R
- **Starter: ASHRAE Great Energy Predictor**
- **Vowpal Wabbit starter Microsoft Malware Prediction**
- **PUBG Data Exploration + Random Forest**
- **Starter: ASHRAE Great Energy Predictor**
- **Vowpal Wabbit starter Microsoft Malware Prediction**
- **PUBG Data Exploration + Random Forest**
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General Machine Learning
- **Data Science Tutorial for Beginners**
- **Machine Learning Tutorial for Beginners**
- **Statistical Learning Tutorial for Beginners**
- **A Data Science Framework: To Achieve 99% Accuracy**
- **A Comprehensive ML Workflow with Python**
- **Guided path of Learning ML-DS**
- **Exploration of data step by step**
- **Python walkthrough for Titanic data analysis**
- **How to not overfit?**
- **OOP approach to FE and models**
- **Predictive Power Score vs Correlation**
- **Pseudo Labeling - QDA**
- **Bayesian Learning Basics | Tutorial**
- **Data Analysis using SQL:**
- **SQLalchemy and ML with sklearn demo**
- **Pyspark ML tutorial for beginners:**
- **Getting started with H2O (AutoML)**
- **XGBoost in H2O! (AutoML)**
- **CatBoost: A Deeper Dive**
- **GMEAN of low correlation**
- **Resampling strategies for imbalanced datasets**
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Deeep Learning
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Computer Vision
- **Convolutional Neural Network (CNN) Tutorial**
- **Image classification with Convolutional Neural Networks (Fast.ai)**
- **A complete ML pipeline (Fast.ai)**
- **Introduction to CNN Keras**
- **Indian way to learn CNN**
- **Beginners guide to MNIST with fast.ai**
- **Practical Deep Learning Using PyTorch**
- **Classification in catalyst with utility scripts**
- **Pytorch utils for images**
- **RSNA Intracranial Hemorrhage Basic EDA + Data Visualization**
- **Severstal: Simple 2-step pipeline**
- **GAN Introduction**
- **Kuzushiji Recognition Complete Guide**
- **Train Simple XRay CNN**
- **Convolutional Neural Network (CNN) Tutorial**
- **Image classification with Convolutional Neural Networks (Fast.ai)**
- **A complete ML pipeline (Fast.ai)**
- **Introduction to CNN Keras**
- **Indian way to learn CNN**
- **Beginners guide to MNIST with fast.ai**
- **Practical Deep Learning Using PyTorch**
- **Classification in catalyst with utility scripts**
- **Pytorch utils for images**
- **RSNA Intracranial Hemorrhage Basic EDA + Data Visualization**
- **Severstal: Simple 2-step pipeline**
- **GAN Introduction**
- **Kuzushiji Recognition Complete Guide**
- **Train Simple XRay CNN**
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Recommendation Systems
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Clustering