USF-ML2 / notebooks
☆6Updated 6 years ago
Alternatives and similar repositories for notebooks:
Users that are interested in notebooks are comparing it to the libraries listed below
- MSAN692 Data Acquisition☆128Updated 3 years ago
- Course notes for MSDS501, computational boot camp, at the University of San Francisco☆124Updated 3 years ago
- Sequence to sequence model with attention for translation☆12Updated 6 years ago
- MSDS 593☆19Updated 6 years ago
- ☆18Updated last year
- ☆49Updated 4 years ago
- Course syllabus, notes, projects for USF's MSDS689☆62Updated last year
- The repository associated with MSDS631 at University of San Francisco in Summer 2021.☆9Updated 2 years ago
- This is the course website for MSAN 601: "Linear Regression Analysis" at the University of San Francisco. Assignments, lecture notes, and…☆19Updated 7 years ago
- ☆108Updated 3 years ago
- An introduction to Natural Language Processing (NLP) course☆39Updated 3 years ago
- Uber provided Data Science take home☆92Updated 8 years ago
- Repo for the course "Fundamentals of Deep Learning with Pytorch"☆39Updated 3 years ago
- Data science blog☆33Updated 6 years ago
- All my deep learning notes: contains v1 of machine learning with Jeremy Howard, and v1 of Fastai Deep Learning 2018 part 1☆69Updated 6 years ago
- An easy to use waterfall chart function for Python☆162Updated 4 years ago
- Notes from different sources such as Harvard CS109 course, Springboard's Data Science Interview questions, Elements of Programming Interv…☆35Updated 4 years ago
- Advanced Machine Learning with Scikit-learn part I☆142Updated 4 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- ☆84Updated 7 years ago
- Compendium of tips to help you apply to machine learning and data science jobs.☆52Updated 5 years ago
- Repository for all the code written as part of the Springboard's Data Science Career Track☆32Updated 7 years ago
- Intermediate Machine Learning with Scikit-learn, 4h interactive workshop☆127Updated 3 years ago
- COMS W4995 Applied Machine Learning - Spring 19☆303Updated 5 years ago
- Materials for GWU DNSC 6279 and DNSC 6290.☆238Updated 9 months ago
- Tutorial given at PyData LA 2018☆97Updated 7 months ago
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆675Updated 9 months ago
- Advanced Machine Learning with Scikit-learn part II☆163Updated 4 years ago
- Notes and Python scripts for A/B or Split Testing☆140Updated 2 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆245Updated 3 years ago