johnmyleswhite / ML_for_Hackers
Code accompanying the book "Machine Learning for Hackers"
☆3,678Updated 5 years ago
Alternatives and similar repositories for ML_for_Hackers
Users that are interested in ML_for_Hackers are comparing it to the libraries listed below
Sorting:
- Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques☆1,588Updated 5 years ago
- Open Content for self-directed learning in data science☆2,968Updated last year
- Deep learning in Python☆1,378Updated 4 years ago
- Tutorial on scikit-learn and IPython for parallel machine learning☆1,592Updated 8 years ago
- A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks☆4,175Updated last year
- Deep Learning Tutorial notes and code. See the wiki for more info.☆4,131Updated 4 years ago
- TensorFlow for R☆1,334Updated last month
- Materials for my Pycon 2015 scikit-learn tutorial.☆896Updated 4 years ago
- Ways of doing Data Science Engineering and Machine Learning in R and Python☆608Updated 4 years ago
- a curated list of R tutorials for Data Science, NLP and Machine Learning☆2,042Updated 2 years ago
- Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.☆8,812Updated 11 months ago
- A data science IDE for Python☆3,915Updated 7 years ago
- Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning☆3,176Updated 3 years ago
- A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2…☆1,886Updated 2 years ago
- Please visit https://github.com/h2oai/h2o-3 for latest H2O☆2,224Updated 6 months ago
- Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way☆1,451Updated 7 years ago
- Compiled Notes for all 9 courses in the Coursera Data Science Specialization☆772Updated 3 years ago
- The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)☆2,898Updated 2 years ago
- Public material for CS109☆1,480Updated 2 years ago
- Evaluation of Deep Learning Frameworks☆2,046Updated 8 years ago
- Learn R, in R.☆1,164Updated last year
- Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)☆11,296Updated 2 years ago
- A curated list of awesome R packages, frameworks and software.☆6,158Updated 5 months ago
- [DEPRECATED] See the new edition:☆971Updated 6 years ago
- Python coded examples and documentation of machine learning algorithms.☆611Updated 4 years ago
- Topics Course on Deep Learning UC Berkeley☆1,301Updated 7 years ago
- Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial☆2,617Updated 4 years ago
- Machine Learning Problem Bible | Problem Set Here >>☆714Updated 5 years ago
- Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1☆4,090Updated 4 years ago
- Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE☆1,952Updated 8 years ago