rj425 / ML-Coursera
This repository contains all the programming exercises in Python for the Coursera course called "Machine Learning" by Adjunct Professor Andrew Ng at Stanford University.
☆70Updated 5 years ago
Alternatives and similar repositories for ML-Coursera:
Users that are interested in ML-Coursera are comparing it to the libraries listed below
- Notes and solutions for the Mathematics for Machine Learning Specialization☆80Updated 5 years ago
- Notebooks for the "ML from the Fundamentals" series☆63Updated 4 years ago
- Notes taken from Google Machine Learning Course provided to public for practice & correction.☆199Updated 2 years ago
- Python solutions to Andrew Ng's ML course.☆42Updated 6 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
- ☆86Updated 2 years ago
- This is the presentation on - What are the key points one should consider if they will be appearing in Data Science job interview☆40Updated 6 years ago
- Compendium of tips to help you apply to machine learning and data science jobs.☆52Updated 5 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 4 years ago
- To help python programmers experiment and learn. All algorithms implemented from scratch in jupyter notebook.☆118Updated 5 years ago
- Code material for a data science tutorial☆198Updated 7 years ago
- FAQs in Slack channel of Udacity's PyTorch Scholarship Challenge.☆100Updated 6 years ago
- DataCamp Projects☆17Updated 5 years ago
- A few notebooks on deep learning with PyTorch☆45Updated 2 years ago
- Learn how to build a data analysis library from scratch☆203Updated 3 years ago
- Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?☆263Updated 6 years ago
- NumPy fundamentals for tensor computation; Matplotlib for data visualization☆23Updated 6 years ago
- ☆102Updated 6 years ago
- Official Public site for CS109a Fall 2018☆34Updated 6 years ago
- Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog☆323Updated last year
- These are the tips for "5 Steps to Pass Data Science Interviews" By Siraj Raval on Youtube☆246Updated 4 years ago
- DataScience365☆54Updated 5 years ago
- A jupyter notebook having all most frequent used code snippet for daily data scienceoperations☆63Updated 4 years ago
- Interview stuff for friends☆84Updated 2 years ago
- Project Portfolio for Machine Learning Nanodegree by Udacity☆17Updated 7 years ago
- A step-by-step guide to get started with Applied Machine Learning☆139Updated 6 years ago
- A complete daily plan for studying to become a machine learning engineer.☆50Updated 8 years ago
- This course covers how you can use NLP to do stuff.☆267Updated 4 years ago
- ☆48Updated 5 years ago
- A constantly updated python machine learning cheatsheet☆166Updated 7 years ago