Materials for the Hugging Face Diffusion Models Course

Python Feature Engineering Cookbook, published by Packt

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

This repository consists content, assignments, assignments solution and study material provided by ineoron ML masters course

Materials for following along with Hands-On Data Analysis with Pandas.

Machine Learning Projects and Learning Content

collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc

This repository contains Ipython notebooks of assignments and tutorials used in the course introduction to data science in python, part of Applied Data Science using Python Specialization from Univ…

General Assembly's 2015 Data Science course in Washington, DC

Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then s…

Data Science Roadmap

This repository consists of all my Machine Learning Projects.

🤖⚡ 50 scikit-learn tips

Complete AI-playbook for entrepreneurs. Follow this blueprint to create an AI-first business.

The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

For extensive instructor led learning

A machine learning course using Python, Jupyter Notebooks, and OpenML

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

📖 100 Go Mistakes and How to Avoid Them

Instant, easy, and predictable development environments

DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.

Carefully curated resource links for data science in one place

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

Tous les codes utilisés dans la série YouTube Python Spécial Machine Learning !

Machine Learning Open Source University

Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!

A collection of (mostly) technical things every software developer should know about