sachin-101 / Machine-Learning-by-Andrew-Ng-Implementation-in-PythonLinks
To help python programmers experiment and learn. All algorithms implemented from scratch in jupyter notebook.
☆118Updated 6 years ago
Alternatives and similar repositories for Machine-Learning-by-Andrew-Ng-Implementation-in-Python
Users that are interested in Machine-Learning-by-Andrew-Ng-Implementation-in-Python are comparing it to the libraries listed below
Sorting:
- A repository with solutions to the assignments on Andrew Ng's machine learning MOOC on Coursera☆280Updated 3 years ago
- Documenting my python implementation of Andrew Ng's Machine Learning course☆312Updated 6 years ago
- This repository contains all the programming exercises in Python for the Coursera course called "Machine Learning" by Adjunct Professor A…☆69Updated 6 years ago
- All projects and lecture notes of the Udacity Machine Learning Engineer Nanodegree.☆217Updated 7 years ago
- Build and deploy a machine learning app from scratch 🚀☆393Updated 2 years ago
- These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippe…☆283Updated 6 months ago
- Jupyter notebook for Udemy course: Python data science and machine learning bootcamp☆225Updated 8 years ago
- How to perform an exploratory data analysis on the Kaggle Titanic dataset and make a submission to the leaderboard.☆223Updated last year
- Machine Learning notebooks for refreshing concepts.☆536Updated 4 years ago
- Tutorials/tips on machine learning related topics☆64Updated 2 years ago
- My 100 Days of ML Code Challenge Repository. Note: I stopped updating in the blogger site. The days after 100 days are documented in anot…☆110Updated 3 years ago
- Machine learning flashcards☆221Updated 4 years ago
- Advanced Machine Learning Specialization on Coursera☆220Updated 6 years ago
- An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code☆86Updated 9 years ago
- ☆87Updated 3 years ago
- Notebooks for the "ML from the Fundamentals" series☆62Updated 5 years ago
- My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…☆422Updated 3 months ago
- My personal notes, presentations, and notebooks on everything Deep Learning.☆226Updated 5 years ago
- Notes and solutions for the Mathematics for Machine Learning Specialization☆80Updated 6 years ago
- Hope this helps :)☆106Updated 6 years ago
- Jupyter NoteBooks to get you boosted with the basics of python with hands-on-practice.☆109Updated 2 years ago
- Porting the R code in ISL to python. Labs and exercises☆203Updated 3 years ago
- 📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines☆161Updated 3 years ago
- Machine Learning algorithms implemented in Python from scratch☆167Updated 7 years ago
- (Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form☆288Updated 3 years ago
- Repository for storing and tracking my self-study progress.☆215Updated 4 years ago
- A collection of resources that should help and guide your first steps as you learn ML and DL. I am a beginner as well, and these are the …☆90Updated 5 years ago
- Notes and material for the "Machine Learning Engineer Nanodegree" (MLND) by Udacity.☆72Updated 6 years ago
- Notes from Introduction to Statistical Learning☆118Updated 7 years ago
- Solutions to Andrew NG's machine learning course on Coursera☆392Updated 6 years ago