jphall663 / GWU_data_miningLinks
Materials for GWU DNSC 6279 and DNSC 6290.
☆239Updated 3 weeks ago
Alternatives and similar repositories for GWU_data_mining
Users that are interested in GWU_data_mining are comparing it to the libraries listed below
Sorting:
- Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA☆137Updated 8 years ago
- COMS W4995 Applied Machine Learning - Spring 18☆158Updated 6 years ago
- H2O.ai Machine Learning Interpretability Resources☆489Updated 4 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- Code material for a data science tutorial☆198Updated 7 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 8 years ago
- Welcome to my independent research repository!☆17Updated 8 years ago
- This contains materials for the word embeddings workshop☆127Updated 7 years ago
- Lessons learned the hard way through over 30+ data science interviews☆226Updated 4 years ago
- Public Repository for cs109a, 2017 edition☆326Updated last year
- Collected opinions and advice for academic programs focused on data science skills.☆443Updated 5 years ago
- Machine learning with Python tutorial at MSU Data Science 2018☆109Updated 7 years ago
- A repo for talk materials☆25Updated 5 years ago
- Introduction to Statistical Modeling with Python (PyCon 2017)☆168Updated 4 years ago
- COMS W4995 Applied Machine Learning - Spring 19☆302Updated 5 years ago
- ☆155Updated 4 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆275Updated 8 years ago
- Data Analytics, Statistics, Visualization (R / Python)☆93Updated 7 years ago
- Work on Introduction to Statistical Learning☆121Updated 9 years ago
- General Assembly's Data Science course in Washington, DC☆185Updated 2 years ago
- Presentations from H2O meetups & conferences by the H2O.ai team☆410Updated 2 years ago
- Solutions to the book "Collection of Data Science TakeHome Challenges" in Python.☆10Updated 7 years ago
- Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog☆326Updated 2 years ago
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆681Updated last year
- Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph☆267Updated 5 years ago
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆378Updated 9 years ago
- Data Cleaning Libraries with Python☆287Updated last year
- Notebook to download machine learning flashcards☆456Updated 4 years ago
- A Little Book of Python for Multivariate Analysis☆87Updated 9 years ago
- Advanced Statistics, R code☆8Updated 9 years ago