Wrosinski / MachineLearning_ResourcesCompilationLinks
Compilation of resources found around the web connected with Machine Learning, Deep Learning & Data Science in general.
☆92Updated 7 years ago
Alternatives and similar repositories for MachineLearning_ResourcesCompilation
Users that are interested in MachineLearning_ResourcesCompilation are comparing it to the libraries listed below
Sorting:
- ☆77Updated 8 years ago
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆134Updated 4 years ago
- ☆26Updated 7 years ago
- COMS W4995 Applied Machine Learning - Spring 18☆158Updated 6 years ago
- Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)☆290Updated 11 years ago
- ☆31Updated 7 years ago
- Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017☆80Updated 7 years ago
- UCL MSc Computational Statistics and Machine Learning Revision Notes☆286Updated 6 years ago
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆66Updated 6 years ago
- Basics of programming: algorithms, data structures, object oriented programming☆93Updated 6 years ago
- Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning☆163Updated 9 years ago
- Course of Machine Learning in Science and Industry at Heidelberg university☆47Updated 8 years ago
- A compiled list of kaggle competitions and their winning solutions for sequence problems.☆35Updated 8 years ago
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆287Updated 7 years ago
- Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.☆105Updated 7 years ago
- Doing Bayesian statistics in Python!☆67Updated 7 years ago
- Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.☆150Updated 4 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 7 years ago
- A compiled list of kaggle competitions and their winning solutions for regression problems.☆147Updated 8 years ago
- Neural networks from scratch☆108Updated 5 years ago
- Advanced Scikit-learn training session☆118Updated 8 years ago
- DS-GA-1011 Natural Language Processing with Representation Learning☆81Updated 7 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆274Updated 6 years ago
- PyMC3 tutorial for DataScience LA (January 2017)☆67Updated 7 years ago
- ☆38Updated 6 years ago
- ☆66Updated 2 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- This contains materials for the word embeddings workshop☆127Updated 7 years ago
- Solutions to exercises from the book "Introduction to Statistical Learning"☆24Updated 10 years ago
- Website and material for the FIXME course on Practical Machine Learning☆90Updated 7 years ago