DeltaAnalytics / machine_learning_resources
Delta believes in building technical capacity all over the world. We believe that data is powerful, and that anybody should be able to harness it for change in their community. As part of this mission, we make many resources publicly available to researchers, students and non-profits.
☆24Updated 7 years ago
Alternatives and similar repositories for machine_learning_resources:
Users that are interested in machine_learning_resources are comparing it to the libraries listed below
- In-class exercises for Deep Learning course at NYC Data Science Academy☆32Updated 7 years ago
- Machine learning fundamentals lesson in interactive notebooks☆176Updated 3 years ago
- Crowd Course Data Science course project☆26Updated 8 years ago
- Material for UW Extension Data Science 350☆19Updated 7 years ago
- My exhaustive repo of free deep learning resources☆50Updated 7 years ago
- Slides and materials for most of my talks by year☆92Updated last year
- My presentation at ODSC India 2018 about Deep Learning with Apache Spark☆27Updated 6 years ago
- Springboard - Data Science Intensive course☆13Updated 8 years ago
- This contains materials for the word embeddings workshop☆126Updated 7 years ago
- List of Machine Learning & Data Science Conferences☆84Updated 5 years ago
- Introduction to Data Science☆18Updated 8 years ago
- Official Public site for CS109a Fall 2018☆34Updated 6 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
- Introduction to web scraping and text mining☆48Updated 5 years ago
- ☆21Updated 5 years ago
- Two hour interactive machine learning workshop☆22Updated 5 years ago
- Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book☆16Updated 6 years ago
- DataCamp Projects☆17Updated 5 years ago
- General Assembly repo for Data Science 18☆36Updated 9 years ago
- These are the slides and code for my tutorial "Computer Vision: an (Un?)Expected Journey" at PyData London 2018☆29Updated 6 years ago
- Advanced Machine Learning with Scikit-learn part II☆163Updated 4 years ago
- Slides and code examples for H2O tutorials at various events☆56Updated 7 years ago
- Extracting LinkedIn comments from any post and export it to Excel file☆23Updated 6 years ago
- ☆35Updated 2 weeks ago
- Harvard CS 109 - Data Science - Fall 2013☆14Updated 11 years ago
- Miscellaneous Jupyter Notebooks for my course.☆24Updated 8 years ago
- A starter kit for new chapters of WiMLDS☆42Updated 3 months ago
- A complete daily plan for studying to become a machine learning engineer.☆50Updated 8 years ago
- Deep Learning Bootcamp☆64Updated 5 years ago
- A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.☆77Updated 6 years ago