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Stanford Cs 229 Machine Learning ⭐ 10,399

VIP cheatsheets for Stanford's CS 229 Machine Learning

Mlxtend ⭐ 4,669

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Refinery ⭐ 1,257

The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

Imodels ⭐ 1,229

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Featexp ⭐ 656

Feature exploration for supervised learning

Complete Life Cycle Of A Data Science Project ⭐ 499

Complete-Life-Cycle-of-a-Data-Science-Project

Free Ai Resources ⭐ 466

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

Data Science Free ⭐ 236

Free Resources For Data Science created by Shubham Kumar

Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.

Advanced High Performance Data Science Toolbox for R by Laurae

Interactive_machine_learning ⭐ 132

IPython widgets, interactive plots, interactive machine learning

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

Coursera_ml_da_specialization ⭐ 53

Coursera Specialization: Machine Learning and Data Analysis (Yandex & MIPT)

Streamline ⭐ 47

Simple Transparent End-To-End Automated Machine Learning Pipeline for Supervised Learning in Tabular Binary Classification Data

Data Science ⭐ 39

Lectures for Introduction to Data Science for Public Policy (PPOL 670-01)

ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions

Cattonum ⭐ 32

Encode Categorical Features

The Fashion-MNIST dataset and machine learning models.

Machine_learning_from_scratch_matlab_python ⭐ 21

Vectorized Machine Learning in Python 🐍 From Scratch

Mlr3shiny ⭐ 20

mlr3shiny: Machine Learning in Shiny with mlr3

300daysofmachinelearning Deeplearning ⭐ 19

Hello everyone this repo will contain my journey of machine learning and DeepLearning with some exciting projects

Khiops is an AutoML suite for supervised and unsupervised learning

Predicting Baseball Statistics ⭐ 14

Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn

Mobile Price Prediction Classification Analysis ⭐ 10

Supervised Machine Learning Analysis Using Classification Models

(Multiblock) Partial Least Squares Regression for Python

Ecommerce Reviews Analysis ⭐ 9

Statistical Analysis on E-Commerce Reviews, with Sentiment Classification using Bidirectional Recurrent Neural Network (RNN)

Network Intrusion Detection Using Machine Learning ⭐ 8

A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

Confidence Planner ⭐ 7

A Python library for estimating confidence intervals around accuracy and sample sizes for classification experiments.

Machine Learning ⭐ 7

Fundamentals & projects

Khiops Python ⭐ 6

The official Python library for the Khiops AutoML suite

Predictive Modeling In R ⭐ 5

Workshop (2-6 hours): cleaning, missing value imputation, EDA, ensemble learning, calibration, variable importance ranking, accumulated local effect plots. WIP.

Statistical_learning_old ⭐ 5

Statistical learning repository

Personal Bank Loan Modeling Classification Analysis ⭐ 5

Supervised Machine Learning Analysis Using Classification Models

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