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dhmo1900's Projects

machine-learning

All content related to machine learning from my blog

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

machine-learning-mindmap

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

machinelearning-datascience

Complete Machine Learning and Data Science: Zero to Mastery

machinelearningmodulepurepy

Machine Learning Classes Not Using Numpy, Scipy, or SKLearn to Help Gain Insights

manim

Animation engine for explanatory math videos

masterylistgpt-chat-with-your-todo-list-with-langchain-and-chatgpt

Streamlit app for scheduling habits and interacting with your schedule using ChatGPT and LangChain

matrixinverse

Python Code to Efficiently Inverse a Matrix

mdx-msc-data-science

Middlesex University Dubai: MSc Data Science. Modelling, Regression and Machine Learning track. Instructor: Ivan Reznikov

mercury

Mercury: easily convert Python notebook to web app and share with others

ml-for-beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

ml-surveys

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

mlops-basics

nannyml

Detecting silent model failure. NannyML estimates performance with an algorithm called Confidence-based Performance estimation (CBPE), developed by core contributors. It is the only open-source algorithm capable of fully capturing the impact of data drift on performance.