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.
☆5,511Updated 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 2 years ago
- An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code☆4,329Updated 2 years ago
- Machine learning-Stanford University☆1,146Updated 4 months 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…☆2,045Updated 6 years ago
- Coursera Machine Learning - Python code☆864Updated 4 years ago
- Solutions to Andrew NG's machine learning course on Coursera☆391Updated 6 years ago
- 100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)☆2,722Updated 11 months ago
- This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the …☆5,206Updated 2 years ago
- Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.☆2,251Updated 2 years ago
- Andrew Ng ML Specialization Labs and Exercises. This repo contains the unsolved versions of the exercises. Feel free to fork this repo if…☆50Updated 4 months ago
- Compilation of resources for aspiring data scientists☆2,096Updated last year
- STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)☆424Updated 8 months ago
- Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas☆8,348Updated 2 years ago
- Classical equations and diagrams in machine learning☆7,745Updated 10 months ago
- To help python programmers experiment and learn. All algorithms implemented from scratch in jupyter notebook.☆116Updated 5 years ago
- Answers to 120 commonly asked data science interview questions.☆3,801Updated last year
- Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python☆936Updated 2 years ago
- code for Data Science From Scratch book☆9,089Updated last year
- A repo for data science related questions and answers☆2,424Updated 2 years ago
- 50 scikit-learn tips☆1,733Updated 2 years ago
- Documenting my python implementation of Andrew Ng's Machine Learning course☆310Updated 6 years ago
- Coursera/Stanford Machine Learning course assignments in python☆2Updated 4 years ago
- Jupyter notebooks from the scikit-learn video series☆3,722Updated last year
- Data science interview questions with answers. Not ideally (yet)☆1,623Updated 2 years ago
- Python code for "Probabilistic Machine learning" book by Kevin Murphy☆6,804Updated 6 months ago
- Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)☆1,782Updated 5 years ago
- Stanford☆286Updated 8 years ago
- A Code-First Introduction to NLP course☆3,447Updated 2 years ago
- Porting the R code in ISL to python. Labs and exercises☆199Updated 2 years ago
- This is Andrew NG Coursera Handwritten Notes.☆3,128Updated last year