learnml / machine-learning-specialization
☆575Updated 6 years ago
Alternatives and similar repositories for machine-learning-specialization:
Users that are interested in machine-learning-specialization are comparing it to the libraries listed below
- Machine Learning with Text in scikit-learn☆444Updated 3 years ago
- General Assembly's Data Science course in Washington, DC☆233Updated 10 months ago
- SFrame: Scalable tabular and graph data-structures built for out-of-core data analysis and machine learning.☆895Updated 6 years ago
- Source code for the "Learning scikit-learn: Machine Learning in Python"☆395Updated 5 years ago
- Scikit-Learn tutorial material for Scipy 2015☆575Updated 9 years ago
- Notes for the courses in the Machine Learning Specialization created by the University of Washingtion on Coursera☆45Updated 4 years ago
- Python coded examples and documentation of machine learning algorithms.☆612Updated 4 years ago
- Some sample IPython notebooks for scikit-learn☆567Updated last year
- Scikit-learn tutorial at SciPy2016☆516Updated 6 years ago
- Official content for the Fall 2014 Harvard CS109 Data Science course☆318Updated 8 years ago
- Materials for the "Introduction to Machine Learning" class☆228Updated 6 years ago
- A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.☆310Updated 4 years ago
- Machine Learning Problem Bible | Problem Set Here >>☆714Updated 5 years ago
- Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book☆311Updated 3 years ago
- General Assembly's Data Science course in Washington, DC☆799Updated 4 years ago
- ☆376Updated 6 years ago
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆379Updated 9 years ago
- Materials for my Pycon 2015 scikit-learn tutorial.☆896Updated 4 years ago
- ☆213Updated 3 years ago
- Walkthrough exercises from PandasTutorial by Wes McKinney.☆150Updated 4 years ago
- A Wiki containing helpful information for new and existing students of the Machine Learning Nanodegree at Udacity. Written by students of…☆221Updated 7 years ago
- Information for setting up for the BerkeleyX Spark Intro MOOC, and lab assignments for the course☆349Updated 4 years ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆285Updated 7 years ago
- Machine learning programming exercises☆316Updated 7 years ago
- Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog☆324Updated 2 years ago
- My notes and superstitions about common machine learning algorithms☆365Updated 7 years ago
- This repository contains materials for demos, tutorials, and talks by Dato Inc.☆172Updated 8 years ago
- A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization…☆896Updated 11 months ago
- use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm☆923Updated 6 years ago
- practical introduction to Python for machine learning, with pandas and scikit-learn - Sept 2014☆283Updated 3 years ago