Wrosinski / MachineLearning_ResourcesCompilationLinks
Compilation of resources found around the web connected with Machine Learning, Deep Learning & Data Science in general.
☆93Updated 8 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:
- ☆78Updated 8 years ago
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆137Updated 5 years ago
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆378Updated 10 years ago
- Code material for a data science tutorial☆197Updated 8 years ago
- COMS W4995 Applied Machine Learning - Spring 18☆157Updated 6 years ago
- A compiled list of kaggle competitions and their winning solutions for regression problems.☆149Updated 9 years ago
- Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)☆291Updated 12 years ago
- Neural networks from scratch☆108Updated 5 years ago
- Materials for GWU DNSC 6279 and DNSC 6290.☆240Updated 6 months ago
- Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.☆148Updated 4 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆279Updated 7 years ago
- Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017☆80Updated 8 years ago
- Website and material for the FIXME course on Practical Machine Learning☆88Updated 7 years ago
- Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book☆312Updated 4 years ago
- Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning☆164Updated 10 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 8 years ago
- Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison☆494Updated 6 years ago
- ☆60Updated 7 years ago
- Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics☆548Updated 3 years ago
- Machine learning with scikit-learn tutorial at PyData Chicago 2016☆128Updated 9 years ago
- ☆26Updated 8 years ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆288Updated 8 years ago
- my blog☆269Updated 3 years ago
- A compiled list of kaggle competitions and their winning solutions for sequence problems.☆35Updated 9 years ago
- PyMC3 tutorial for DataScience LA (January 2017)☆67Updated 7 years ago
- Material for the Big Data Analytics exercise classes - INFOH515 - Big Data : Distributed Data Management and Scalable Analytics - Univers…☆61Updated 3 years ago
- STA663 Statistical Computing and Computation, Spring 2016☆87Updated 9 years ago
- Learn machine learning for free, because free is better than not-free.☆228Updated 5 years ago
- Exercises and supplementary material for the deep learning course 02456.☆103Updated 7 years ago