krasserm / machine-learning-notebooksLinks
Stanford Machine Learning course exercises implemented with scikit-learn
☆348Updated 4 years ago
Alternatives and similar repositories for machine-learning-notebooks
Users that are interested in machine-learning-notebooks are comparing it to the libraries listed below
Sorting:
- Machine Learning Tutorials in Python☆194Updated 4 years ago
- Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book☆311Updated 3 years ago
- Code files added☆99Updated 2 years ago
- Code material for a data science tutorial☆197Updated 8 years ago
- Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog☆326Updated 2 years ago
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆378Updated 9 years ago
- Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"☆781Updated 2 years ago
- Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph☆267Updated 5 years ago
- A compiled list of kaggle competitions and their winning solutions for regression problems.☆147Updated 8 years ago
- based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron)☆317Updated 8 years ago
- Materials for the "Introduction to Machine Learning" class☆228Updated 6 years ago
- iPython NOtebooks on Stats☆164Updated 10 months ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆248Updated 6 years ago
- COMS W4995 Applied Machine Learning - Spring 18☆158Updated 6 years ago
- Machine learning with Python tutorial at MSU Data Science 2018☆109Updated 7 years ago
- Implementing machine learning algorithms from scratch.☆383Updated 3 years ago
- Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.☆149Updated 4 years ago
- Programming Assignments and Lectures for Geoffrey Hinton's "Neural Networks for Machine Learning" Coursera course☆190Updated 5 years ago
- Python coded examples and documentation of machine learning algorithms.☆610Updated 4 years ago
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆288Updated 7 years ago
- Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms…☆432Updated 3 years ago
- Source code for 'Practical Machine Learning with Python' by Dipanjan Sarkar, Raghav Bali, and Tushar Sharma☆123Updated 7 years ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆285Updated 7 years ago
- TensorFlow - A curated list of dedicated resources http://tensorflow.org☆87Updated 7 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆275Updated 8 years ago
- Public Repository for cs109a, 2017 edition☆325Updated last year
- Codes for Kaggle Competitions☆516Updated 7 years ago
- experiments with python☆380Updated 7 years ago
- Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for…☆259Updated 8 years ago
- Code repository for Advanced Machine Learning with Python, published by Packt☆201Updated 2 years ago