Machine learning lessons and teaching projects designed for engineers

Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.

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Machine Learning notebooks for refreshing concepts.

🧙 A web app to generate template code for machine learning

🟣 Object detection of abstract shapes with neural networks

Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

Using temporal convolution to detect Audio Deepfakes

Machine Learning Tutorials in Python

Code For The Issue Label Bot, an App that automatically labels issues using machine learning, available on the GitHub Marketplace. This is also code for the blog article: "How to automate tasks on GitHub with machine learning for fun and profit"

Machine learning notes that make your reading easy

The overall objective of this toolkit is to provide and offer a free collection of data analysis and machine learning that is specifically suited for doing data science. Its purpose is to get you started in a matter of minutes. You can run this collections either in Jupyter notebook or python alone.

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

The best resources around Machine Learning

A Classification Problem which predicts if a loan will get approved or not.

Tutorial: Automate DVC experiments helps to automate your Machine Learning experiments, manage metrics, reports and models versions

Graduate course on Machine Learning

A Streamlit application to play with machine learning models directly from the browser

Tutorial: Support Vector Machine from scratch using Python3

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP