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Projects in Awesome Lists tagged with data-preprocessing

A curated list of projects in awesome lists tagged with data-preprocessing .

https://github.com/akanz1/klib

Easy to use Python library of customized functions for cleaning and analyzing data.

data-analysis data-cleaning data-preprocessing data-science data-visualization feature-selection klib python

Last synced: 21 Oct 2025

https://github.com/desbordante/desbordante-core

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.

anomaly-detection correlations data-analytics data-cleaning data-cleansing data-engineering data-exploration data-mining data-mining-algorithms data-preprocessing data-profiling data-science data-wrangling exploratory-data-analysis feature-engineering feature-extraction feature-selection knowledge-discovery spreadsheets tabular-data

Last synced: 22 Nov 2025

https://github.com/shamspias/customizable-gpt-chatbot

A dynamic, scalable AI chatbot built with Django REST framework, supporting custom training from PDFs, documents, websites, and YouTube videos. Leveraging OpenAI's GPT-3.5, Pinecone, FAISS, and Celery for seamless integration and performance.

artificial-intelligence autogpt chatbot conversational-ai data-preprocessing django django-rest-framework gpt-3 gpt-voice langchain langchain-python longchain machine-learning natural-language-processing nlp python voice-chat voice-recognition voice-to-text voice-transcription

Last synced: 05 Apr 2025

https://github.com/Desbordante/desbordante-core

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.

anomaly-detection correlations data-analytics data-cleaning data-cleansing data-engineering data-exploration data-mining data-mining-algorithms data-preprocessing data-profiling data-science data-wrangling exploratory-data-analysis feature-engineering feature-extraction feature-selection knowledge-discovery spreadsheets tabular-data

Last synced: 03 Apr 2025

https://github.com/msamogh/nonechucks

Deal with bad samples in your dataset dynamically, use Transforms as Filters, and more!

data-cleaning data-pipeline data-preprocessing data-processing machine-learning preprocessing pytorch torch

Last synced: 07 May 2025

https://github.com/triton-inference-server/dali_backend

The Triton backend that allows running GPU-accelerated data pre-processing pipelines implemented in DALI's python API.

dali data-preprocessing deep-learning fast-data-pipeline gpu image-processing nvidia-dali python

Last synced: 04 Apr 2025

https://github.com/dansuh17/segan-pytorch

SEGAN pytorch implementation https://arxiv.org/abs/1703.09452

audio data-preprocessing mir pytorch segan segan-pytorch source-separation speech-enhancement

Last synced: 16 Apr 2025

https://github.com/asavinov/prosto

Prosto is a data processing toolkit radically changing how data is processed by heavily relying on functions and operations with functions - an alternative to map-reduce and join-groupby

business-intelligence data-preparation data-preprocessing data-processing data-science data-wrangling feature-engineering map-reduce olap pandas python spark workflow

Last synced: 11 Apr 2025

https://github.com/hypox64/candock

A time series signal analysis and classification framework

classification data-augmentation data-preprocessing deep-learning eeg series-signal-analysis

Last synced: 24 Apr 2025

https://github.com/laureberti/learn2clean

Learn2Clean: Optimizing the Sequence of Tasks for Data Preparation and Cleaning

automated data-cleaning data-cleaning-pipeline data-curation data-preprocessing reinforcement-learning

Last synced: 11 Sep 2025

https://github.com/soumyadip007/data-science-using-python-university-course-module

“Data science” is just about as broad of a term as they come. It may be easiest to describe what it is by listing its more concrete components: Data exploration & analysis. Included here: Pandas; NumPy; SciPy; a helping hand from Python's Standard Library.

data-preparation data-preprocessing data-processing data-science data-visualization jupyter-notebook knn numpy panda plotting python

Last synced: 23 Jun 2025

https://github.com/elysian01/data-purifier

A Python library for Automated Exploratory Data Analysis, Automated Data Cleaning, and Automated Data Preprocessing For Machine Learning and Natural Language Processing Applications in Python.

data-analysis data-cleaning data-cleaning-pipeline data-preprocessing data-science data-visualization datapurifier eda exploratory-data-analysis jupyter python-lib python-library python3

Last synced: 04 Oct 2025

https://github.com/repetere/modelscript

REPO MOVED TO https://github.com/repetere/jsonstack-data - Data Science and Machine learning in JavaScript

data-mining data-preprocessing data-science javascript machine-learning

Last synced: 01 Oct 2025

https://github.com/ammsa/dtcleaner

DTCleaner: data cleaning using multi-target decision trees.

data-cleaning data-mining data-preprocessing data-quality data-science data-wrangling

Last synced: 21 Mar 2025

https://github.com/kwokhing/yandexcatboost-python-demo

Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data exploration, cleaning, preprocessing and model tuning are performed on the dataset

catboost data-analysis data-preprocessing data-science feature-selection gradient-boosting gradient-boosting-classifier one-hot-encode pandas pearson-correlation python python27 seaborn variance-analysis visualization yandex-catboost

Last synced: 09 Apr 2025

https://github.com/nicomignoni/tab2img

A tool to convert tabular data into images, in order to be used by CNNs Inspired by the "DeepInsight" paper.

cnn data-preprocessing deepinsight tabular-data

Last synced: 14 Jul 2025

https://github.com/twardoch/split-markdown4gpt

A Python tool for splitting large Markdown files into smaller sections based on a specified token limit. This is particularly useful for processing large Markdown files with GPT models, as it allows the models to handle the data in manageable chunks.

data-preprocessing gpt gpt-3 gpt-35-turbo gpt-35-turbo-16k gpt-4 markdown markdown-processing mistletoe natural-language-processing nlp openai openai-gpt python split-text summarization text-analysis text-processing text-summarization text-tokenization

Last synced: 08 Jul 2025

https://github.com/azaz9026/medicine-recommendation-system

A Medicine Recommendation System in machine learning (ML) is a software application designed to assist healthcare professionals and patients in selecting the most appropriate medication based on various factors such as medical history, symptoms, demographics, and drug interactions

api data-preprocessing eda encoding flask machine-learning render-template sklearn-library statistics

Last synced: 10 Apr 2025

https://github.com/mahtafetrat/manatts-persian-speech-dataset

ManaTTS is the largest open Persian speech dataset with 100+ hours of transcribed audio. Includes data collection pipeline and tools. Suitable for Persian text-to-speech models.

data-collection data-preprocessing dataset-preparation forced-alignment mana-tts persian persian-speech speech-corpus speech-data-collection speech-dataset speech-processing speech-synthesis text-to-speech text-to-speech-dataset tts tts-dataset

Last synced: 08 Apr 2025

https://github.com/buabaj/xplore

A python package built for data scientist/analysts, AI/ML engineers for exploring features of a dataset in minimal number of lines of code for quick analysis before data wrangling and feature extraction.

artificial-intelligence data-preprocessing data-science data-wrangling machine-learning

Last synced: 12 Apr 2025

https://github.com/gyrdym/ml_preprocessing

Implementation of popular data preprocessing algorithms for Machine learning

data-preprocessing data-science machine-learning machine-learning-algorithms onehot-encoder ordinal-encoder

Last synced: 21 Mar 2025

https://github.com/datafog/datafog-python

Open source PII detection and anonymization tool: easy-to-use, configurable, and extensible

ai data-anonymization data-preprocessing devsecaiops llm-privacy open-source pii pii-detection privacy privacy-protection python

Last synced: 26 Apr 2025

https://github.com/hemangjoshi37a/personalgoalassistant

AI-driven Personal Goal Assistant: Reinforcement learning-powered software mimics user behavior, interacts with computer inputs, and autonomously achieves goals in finance, social networking, and productivity. Open-source, Python-based RL agent.

ai automation autonomous-agents computer-vision data-preprocessing deep-learning finance goal-setting machine-learning mimic natural-language-processing open-source personal-goals productivity python reinforcement-learning social-media user-data

Last synced: 12 Aug 2025

https://github.com/MahtaFetrat/ManaTTS-Persian-Speech-Dataset

ManaTTS is the largest open Persian speech dataset with 86+ hours of transcribed audio. Includes data collection pipeline and tools. Suitable for Persian text-to-speech models.

data-collection data-preprocessing dataset-preparation forced-alignment mana-tts persian persian-speech speech-corpus speech-data-collection speech-dataset speech-processing speech-synthesis text-to-speech text-to-speech-dataset tts tts-dataset

Last synced: 01 Mar 2025

https://github.com/habedi/feature-factory

A high-performance feature engineering library for Rust powered by Apache DataFusion 🦀

data-preprocessing data-science feature-engineering feature-selection machine-learning rust-lang rust-library

Last synced: 01 Aug 2025

https://github.com/parvvaresh/satellite_data

This repository provides Python code for converting satellite data into a format suitable for deep learning models. It supports various deep learning architectures, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Long Short-Term Memory networks (LSTMs).

data data-preprocessing data-reporting numpy pandas python

Last synced: 22 Apr 2025

https://github.com/orbxball/timit-preprocessor

Extract mfcc vectors and phones from TIMIT dataset

data-preprocessing deep-learning mfcc phone speech-recognition timit timit-dataset

Last synced: 18 Mar 2025

https://github.com/vidhi1290/deep-learning-for-eeg-emotion-classification

This repository contains a Python code script for performing emotion classification using EEG (Electroencephalogram) data. Emotion classification from EEG signals is an important application in neuroscience and human-computer interaction. The code leverages deep learning techniques to analyze EEG data and predict emotional states.

coorelation data-exploration data-preprocessing data-science data-visualization deep-learning deep-learning-algorithms eeg-emotion-recognition egg-signals emotion-distribution emotion-prediction feature-analysis heatmap human-emotions machine-learning machine-learning-algorithms pie-chart spectral-analysis time-series-visualization

Last synced: 10 Apr 2025

https://github.com/khaledashrafh/chatgpt-sentiment-analysis

This project aims to perform sentiment analysis on tweets related to ChatGPT, a popular language model developed by OpenAI. The dataset used for training and testing consists of 219,293 tweets collected over a month. Each tweet is classified as positive ("good"), negative ("bad"), or ("neutral").

bidirectional-lstm chat-gpt chat-gpt-3 chatgpt cnn cnn-classification cnn-model data-preprocessing glove glove-embeddings lstm lstm-model lstm-neural-networks natural-language-processing nlp openai sentiment-analysis sentiment-classification trials word-embading

Last synced: 29 Aug 2025

https://github.com/mikeqfu/pyhelpers

PyHelpers: An open-source toolkit for facilitating Python users' data manipulation tasks

data-manipulation data-preprocessing py-utils python python-utilities python-utility python-utils utilities

Last synced: 10 Oct 2025

https://github.com/CleverInsight/cognito

🚀🤖 Cognito - Simplifies AutoML Data Preprocessing.

automl data-munging data-preperation data-preprocessing data-wrangling

Last synced: 20 Nov 2025

https://github.com/rbhatia46/data-preprocessing-template

This repository includes all the Data Preprocessing required before using a dataset on a Machine Learning Model. Please refer README on how to use.

data-preprocessing data-science machine-learning python

Last synced: 11 Apr 2025

https://github.com/basiralab/Kaggle-BrainNetPrediction-Toolbox

A Python toolbox for predicting brain network (graph) evolution over time from a single observation. The codes of the 20 competing Kaggle teams along with the competition datasets are made available.

brain-connectivity-evolution brain-network connectome-prediction data-preprocessing dimensionality-reduction kaggle-competition machine-learning predictive-learning regression-models

Last synced: 01 May 2025

https://github.com/yash22222/ibm-csrbox-internship-project

The objective of the Data Analytics internship at CSRBOX is to provide interns with hands-on experience in applying data analytics techniques to real-world projects in the field of corporate social responsibility (CSR). Interns will gain practical skills in data collection, cleaning, analysis, visualization, and reporting, while working on projects

data-mining data-preprocessing data-science exploratory-data-analysis feature-engineering lemmatization machine-learning pandas pos-tagging random-forest random-forest-classifier scikit-learn sentiment-analysis web-scraping wordcloud

Last synced: 22 Apr 2025

https://github.com/datapreprocessing/datacleaning

Data Cleaning is a python package for data preprocessing. This cleans the CSV file and returns the cleaned data frame. It does the work of imputation, removing duplicates, replacing special characters, and many more.

data data-cleaning data-cleansing data-preprocessing data-wrangling imputation python threshold

Last synced: 14 Dec 2025

https://github.com/thecoderpinar/house-price-prediction-project

🏠 This project focuses on predicting house prices using advanced regression techniques. It involves comprehensive data preprocessing, feature engineering, and model selection. The aim is to develop an accurate predictive model for real estate prices.

data-analysis data-preprocessing data-visualization deep-learning jupyter-notebook machine-learning neural-networks python regression regression-models

Last synced: 30 Apr 2025

https://github.com/tatevkaren/deep-learning-for-data-science

Deep Learning Case Studies with Tensorflow and Keras for Beginners-Advanced: ANN, CNN, RNN, Self-Organizing Maps, Boltzmann Machines, Stacked Autoencoders

ann artificial-intelligence artificial-neural-networks data-preprocessing data-science deep-learning ds keras modelling modelling-framework neural-networks numpy pandas python scikit-learn sklearn tensorflow

Last synced: 10 Apr 2025

https://github.com/ruban2205/machine_learning_fundamentals

This repository contains a collection of fundamental topics and techniques in machine learning. It aims to provide a comprehensive understanding of various aspects of machine learning through simplified notebooks. Each topic is covered in a separate notebook, allowing for easy exploration and learning.

adaboost-classifier agglomerative-clustering apriori-algorithm data-preprocessing data-science ensemble-learning fuzzy-cmeans-clustering machine-learning machine-learning-algorithms machine-learning-models multilayer-perceptron python random-forest-classifier self-organizing-map single-layer-perceptron

Last synced: 26 Oct 2025

https://github.com/khaledashrafh/linear-regression

This program implements linear regression from scratch using the gradient descent algorithm in Python. It predicts car prices based on selected features and uses a dataset of cars with their respective prices.

data-preprocessing dataset feature-selection gredient-decent learning-rate linear-regression pyhton3 regression regression-models

Last synced: 12 Sep 2025

https://github.com/khaledashrafh/logistic-regression

This program implements logistic regression from scratch using the gradient descent algorithm in Python to predict whether customers will purchase a new car based on their age and salary.

activation-function cost-function data-preprocessing logistic-regression model preprocessing regression-models sigmoid sigmoid-activation sigmoid-function

Last synced: 17 Oct 2025

https://github.com/samashi47/ml-toolkit-project

A general-purpose toolkit for data preprocessing, machine learning modeling, and visualization.

classification data data-preprocessing machine-learning python3 visualization

Last synced: 30 Jul 2025

https://github.com/sergio11/spam_email_classifier_lstm

This project uses a Bi-directional LSTM model 📧🤖 to classify emails as spam or legitimate, utilizing NLP techniques like tokenization, padding, and stopword removal. It aims to create an effective email classifier 💻📊 while addressing overfitting with strategies like early stopping 🚫.

bilstm confusion-matrix data-preprocessing deep-learning lstm lstm-model lstm-neural-networks machine-learning natural-language-processing sentiment-analysis spam-detection text-classification word-cloud

Last synced: 17 Apr 2025

https://github.com/armanx200/fruit-detector

🍇🔍 Fruit Detector: A machine learning model to identify fruits from images, powered by TensorFlow and Keras. Train the model, predict fruits, and explore the world of AI fruit recognition! 🍓🍍

arman-kianian computer-vision data-preprocessing deep-learning image-recognition keras machine-learning neural-networks opencv python tensorflow

Last synced: 30 Apr 2025

https://github.com/amirali5/data-preprocessing

In this repo, all about Data preprocessing. Data preprocessing is a required first step before any machine learning machinery can be applied, because the algorithms learn from the data and the learning outcome for problem solving heavily depends on the proper data needed to solve a particular problem – which are called features. Examples of data preprocessing include cleaning, instance selection, normalization, one hot encoding, transformation, feature extraction and selection, etc.

data-preprocessing

Last synced: 15 May 2025

https://github.com/shamspias/gpt3-data-preprocessing

This repository containing code for preprocessing text data from PDF and DOCX files for use with GPT-3. It includes steps such as tokenization, removal of stop words and punctuation, and formatting for GPT-3 input.

artificial-intelligence data-preprocessing data-preprocessing-pipelines data-science gpt-3 machine-learning

Last synced: 30 Jul 2025

https://github.com/kozodoi/dptools

Python package with utilities for data processing, aggregation, feature engineering and data versioning

aggregation data-preparation data-preprocessing data-science feature-engineering python

Last synced: 08 May 2025

https://github.com/sondosaabed/preprocessing-for-machine-learning-in-python

DataCamp inetrmediate course on how and when to perform data preprocessing in any machine learning project to get the data ready for modeling

data-preprocessing data-science data-scientist datacamp-course machine-learning machine-learning-pipeline python

Last synced: 09 Apr 2025

https://github.com/nafisalawalidris/predicting-credit-card-approvals

Explore credit card approval prediction through data analysis and machine learning. Preprocess data, train logistic regression models, and optimize hyperparameters. Learn data preprocessing, feature engineering, model training, and evaluation. Dive into the world of machine learning with Python and popular libraries.

approval-prediction credit-card data-analysis data-preprocessing feature-engineering hyperparameter-optimization libraries logistic-regression machine-learning model-evaluation model-training python python3

Last synced: 19 Apr 2025

https://github.com/xuefeng-xu/fedps

Federated data Preprocessing via aggregated Statistics

data-preprocessing federated-learning python scikit-learn statistics

Last synced: 26 Jun 2025

https://github.com/mayurasandakalum/breast-cancer-detection

Code for classifying breast cancer tumors using machine learning. Includes preprocessing, visualizations, and models like Logistic Regression, Decision Tree, and Random Forest. Evaluated with accuracy, precision, recall, and F1-score. Clone, install dependencies, and run the Jupyter notebook for full analysis.

accuracy breast-cancer-classification data-preprocessing decision-tree exploratory-data-analysis f1-score jupyter-notebook logistic-regression machine-learning ml model-evaluation precision random-forest recall svm visualizations

Last synced: 02 Jul 2025

https://github.com/sergio11/online_payment_fraud

Fraud detection using Deep Neural Networks to predict fraudulent transactions in financial data. 🚨🤖 Complete process from EDA and data preprocessing to model training and evaluation. 📊🔍

classification data-preprocessing data-science deep-neural-networks dnn exploratory-data-analysis financial-fraud fraud-detection fraud-detection-model imbalanced-data keras machine-learning neural-network python smote tensorflow

Last synced: 17 Aug 2025

https://github.com/timkong21/medical-appointment-no-show-prediction

A machine learning solution predicting patient no-shows in healthcare appointments. This project integrates EDA, data processing, feature engineering, and XGBoost modeling, with a workflow spanning from Snowflake data retrieval to AWS deployment (S3, SageMaker, Lambda, API Gateway), aiming to enhance appointment management in medical ERP systems.

api aws aws-lambda aws-s3 data-preprocessing data-science exploratory-data-analysis feature-engineering healthcare hyperopt hyperparameter-tuning hypothesis-testing machine-learning predictive-modeling python sagemaker snowflake sql statistical-analysis xgboost

Last synced: 17 Oct 2025

https://github.com/siddeshsambasivam/newscastapi

Newscast API is a simple REST API to get you all the news articles for any given query word.

data-crawling data-preprocessing rest-api software-engineering

Last synced: 08 Oct 2025

https://github.com/martinkalema/malaria-in-africa

This project is aimed at understanding, mitigating, and controlling the impact of malaria in Africa.

data-mining data-preprocessing data-visualization

Last synced: 26 Aug 2025

https://github.com/armanx200/income-predictor

🔍✨ A machine learning project that predicts income based on various demographic factors using Random Forest and Gradient Boosting algorithms. Includes data preprocessing, hyperparameter tuning, and model evaluation with detailed performance metrics. 📊🤖

arman-kianian classification data-preprocessing data-science gradient-boosting hyperparameter-tuning income-prediction machine-learning python random-forest scikit-learn

Last synced: 03 Apr 2025

https://github.com/ehtisham-sadiq/movie-recommendation-system

The Movie Recommendation System is an all-encompassing data science project that utilizes sophisticated machine learning methods, including collaborative and content-based filtering, to provide users with personalized movie suggestions based on their preferences and viewing history. I

algorithms collaborative-filtering data-preprocessing deployment exploratory-data-analysis machine-learning recommender-system user-interface

Last synced: 02 Aug 2025

https://github.com/amirreza81/applied-data-science-course

Comprehensive notes, practical exercises, and problem-solving solutions from the Applied Data Science course, covering data preprocessing, machine learning algorithms, statistical analysis, data visualization, and real-world applications.

accuracy-measure boosting classification data-cleaning data-preprocessing data-science data-visualisation deep-learning dimensionality-reduction eda feature-engineering image-classification imbalanced-data kaggle-dataset machine-learning multiclass-classification pandas regression scikit-learn stroke-prediction

Last synced: 22 Mar 2025

https://github.com/shervinnd/blood-donor-availability-predictor

A deep learning model to predict blood donor availability using TensorFlow and sklearn. Features data preprocessing, neural network training, and ROC curve visualization. Achieve high accuracy in predicting donor status! 🩺💉

binary-classification blood-donation blood-donor-prediction data-preprocessing deep-learning healthcare-ai machine-learning medical-data-analysis neural-network predictive-modeling python roc-curve scikit-learn tensorflow

Last synced: 11 Oct 2025

https://github.com/sayamalt/stellar-classification---sloan-digital-sky-survey-17

Successfully established a machine learning model which can predict an appropriate stellar class, on the basis of a distinct set of spectral characteristics, to a substantially high level of accuracy.

cross-validation data-preprocessing data-visualization exploratory-data-analysis feature-engineering feature-scaling imbalanced-learning model-deployment model-evaluation model-training multiclass-classification supervised-machine-learning

Last synced: 31 Aug 2025

https://github.com/thecoderpinar/credit-card-fraud-detection-project

This project focuses on the detection of credit card fraud using various data science and machine learning techniques. The dataset includes a record of credit card transactions over a specific period, with the goal of accurately identifying fraudulent activities. 🚀✨

anamoly-detection classification-algorithms credit-card-transactions data-analysis data-preprocessing data-science data-visualization fraud-detection machine-learning python

Last synced: 30 Apr 2025

https://github.com/aksh-patel1/parallel-web-scraper-on-cloud

This project demonstrates an event-driven architecture for parallel web scraping and processing tasks using AWS services. The scraper job, running on AWS Batch, collects data from multiple web pages simultaneously and stores it in S3. The processing job, triggered by AWS EventBridge, efficiently processes the scraped data and updates Google-Sheet.

aws aws-batch aws-ecr aws-eventbridge aws-s3 data-preprocessing docker event-driven-architecture eventdrivenarchitecture python web-scraping

Last synced: 13 Jun 2025

https://github.com/simranjeet97/ipl-dataanalysis

Data Analysis performed on IPL Dataset with Data Profiling, Data Pre-Processing, Data Manipulation, and Data Visualization.

artificial-intelligence data-analysis data-manipulation data-mining data-preprocessing data-science data-visualization indian-premier-league-2008-2018 ipl ipl-dataset iplayer python

Last synced: 03 Oct 2025

https://github.com/walidalsafadi/indians-diabetes

Pima Indians Diabetes - ML Model Selection (83%)

data-preprocessing diabetes-prediction eda model-selection

Last synced: 16 Mar 2025

https://github.com/thyringer/cast

CLI tool for reading strings or complex data sets from CSV files to output them in other text formats.

csv-converter data data-preprocessing python python3 sql-builder

Last synced: 09 Apr 2025

https://github.com/dragomirbozoki/kalliope-dual-llm-chatbot

Multilingual voice assistant powered by a dual-LLM architecture using retrieval-based and generative models. Built on top of Kalliope and Hugging Face Transformer

chatbot data-preprocessing hugging-face machine-learning nlp numpy pandas pipelines pytorch rag transformers

Last synced: 27 Jul 2025

https://github.com/lennymalard/melpy-project

A NumPy-based deep learning library for building neural networks. It features an automatic differentiation engine and supports training models like LSTM, CNN, and FNN.

automatic-differentiation cnn data-preprocessing deep-learning fnn fnn-from-scratch from-scratch keras lstm machine-learning neural-network neural-networks neural-networks-from-scratch preprocessing pytorch tensorflow tokenizer

Last synced: 15 Sep 2025

https://github.com/shervinnd/titanic-survival-predictor

🚢 Dive into the Titanic dataset with this ML project! Using TensorFlow, predict passenger survival via neural networks. Features data preprocessing, model training, and visualization with pandas, scikit-learn, and matplotlib. Perfect for beginners in deep learning. 📊💻

classification data-preprocessing data-science data-visualization deep-learning jupyter-notebook machine-learning neural-network pandas predictive-modeling python scikit-learn tensorflow titanic-dataset

Last synced: 16 Sep 2025

https://github.com/dragomirbozoki/lipreading-cv-nlp

End-to-end visual speech recognition system using deep learning. Combines computer vision and NLP to transcribe spoken words from lip movements in video sequences.

computer-vision data-preprocessing google-colab machine-learning model-training-and-evaluation nlp tensorflow

Last synced: 18 Jun 2025

https://github.com/raihan4520/ml

A collection of machine learning projects showcasing various algorithms and techniques, including a final project for the Machine Learning course at AIUB.

data-preprocessing jupyter-notebook machine-learning model-evaluation numpy pandas python scikit-learn

Last synced: 26 Oct 2025