dibgerge / ml-coursera-python-assignmentsLinks
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
☆5,556Updated 2 years ago
Alternatives and similar repositories for ml-coursera-python-assignments
Users that are interested in ml-coursera-python-assignments 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
- To help python programmers experiment and learn. All algorithms implemented from scratch in jupyter notebook.☆119Updated 6 years ago
- Practice and tutorial-style notebooks covering wide variety of machine learning techniques☆3,290Updated 2 years ago
- Documenting my python implementation of Andrew Ng's Machine Learning course☆313Updated 7 years ago
- My first Python Analytics Repository☆17Updated 5 years ago
- Coursera Machine Learning - Python code☆866Updated 5 years ago
- For extensive instructor led learning☆1,814Updated 3 years ago
- This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the …☆5,282Updated 2 years ago
- Solutions to Andrew NG's machine learning course on Coursera☆392Updated 6 years ago
- Solutions to all quiz and all the programming assignments!!!☆648Updated 4 years ago
- A repo for data science related questions and answers☆2,426Updated 3 years ago
- Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python☆941Updated 3 years ago
- I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter…☆2,049Updated 7 years ago
- Python implementation of Andrew Ng's ML course projects☆24Updated 8 years ago
- Machine Learning notebooks for refreshing concepts.☆545Updated 4 years ago
- The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.☆2,005Updated last year
- 50 scikit-learn tips☆1,744Updated 3 years ago
- Compilation of resources for aspiring data scientists☆2,133Updated last year
- An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code☆4,385Updated 3 years ago
- VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers☆818Updated 5 years ago
- Data science interview questions with answers. Not ideally (yet)☆1,645Updated 3 years ago
- Answers to 120 commonly asked data science interview questions.☆3,827Updated 2 years ago
- Deep Learning Specialization by Andrew Ng on Coursera.☆7,705Updated 6 years ago
- The offical notes of Andrew Ng Machine Learning in Stanford University☆291Updated 3 years ago
- VIP cheatsheets for Stanford's CS 229 Machine Learning☆19,192Updated 5 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…☆284Updated 7 months ago
- Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository☆995Updated last year
- This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube☆2,697Updated 5 years ago
- Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.☆2,563Updated 4 years ago
- This is the curriculum for "Learn Natural Language Processing" by Siraj Raval on Youtube☆1,052Updated 5 years ago