ritchieng / machine-learning-nanodegreeLinks
Codes, notes and guides on Udacity's machine learning nanodegree.
☆81Updated 9 years ago
Alternatives and similar repositories for machine-learning-nanodegree
Users that are interested in machine-learning-nanodegree are comparing it to the libraries listed below
Sorting:
- A step-by-step guide to get started with Applied Machine Learning☆140Updated 7 years ago
- ☆101Updated 7 years ago
- Tutorials on Machine Learning with Scikit-Learn☆83Updated 5 years ago
- Detailed notes and code to learn the basics of machine learning with scikit-learn.☆35Updated 9 years ago
- Contains code and presentation for our full day workshop, 'Getting Started with Natural Language Processing'. This is created for the pur…☆66Updated 6 years ago
- My presentation at ODSC India 2018 about Deep Learning with Apache Spark☆27Updated 7 years ago
- A complete daily plan for studying to become a machine learning engineer.☆52Updated 9 years ago
- Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).☆153Updated 7 years ago
- A curated list of data science blogs☆100Updated 7 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 7 years ago
- A curated list of repositories for my book Machine Learning Solutions.☆80Updated 7 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 8 years ago
- Advanced Machine Learning with Scikit-learn part II☆163Updated 5 years ago
- Statistics for Machine Learning, published by Packt☆161Updated 2 years ago
- Code material for a data science tutorial☆197Updated 8 years ago
- ⛔️ DEPRECATED — Exercises and solutions to accompany my Safari course introducing TensorFlow.☆175Updated 2 years ago
- A constantly updated python machine learning cheatsheet☆167Updated 8 years ago
- DataCamp Projects☆17Updated 6 years ago
- Lecture slides and quizzes for Leskovec, Rajaraman, and Ullman's "Mining of Massive Datasets" Stanford course☆92Updated 7 years ago
- iPython NOtebooks on Stats☆166Updated last year
- Projects for my Udacity Data Analyst Nanodegree☆104Updated 5 years ago
- Full Stack Data Science in Python☆257Updated 7 years ago
- Code from Jason Brownlee's course on mastering machine learning☆126Updated 9 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- Experimenting with and teaching probabilistic programming☆105Updated 3 years ago
- Codes related to various ML Hackathons☆211Updated 6 years ago
- Intermediate Machine Learning with Scikit-learn, 4h interactive workshop☆128Updated 4 years ago
- A compiled list of kaggle competitions and their winning solutions for regression problems.☆149Updated 9 years ago
- Contains Jupyter Notebooks/Resources provided by the author and my work on problem sets.☆90Updated 2 years ago
- Repo will try to cover all the most frequently used ML algos with proper explanation and examples☆10Updated 6 years ago