szilard / teach-data-science-UCLA-master-appl-stats
Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA
☆135Updated 7 years ago
Alternatives and similar repositories for teach-data-science-UCLA-master-appl-stats:
Users that are interested in teach-data-science-UCLA-master-appl-stats are comparing it to the libraries listed below
- Materials for GWU DNSC 6279 and DNSC 6290.☆238Updated 10 months ago
- Materials for a short introductory/intermediate Data Science course taught in the MSc in Business Analytics program at the Central Europe…☆33Updated 7 years ago
- Slides and code examples for H2O tutorials at various events☆56Updated 7 years ago
- ☆48Updated 6 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- Task description and data for candidates applying to be a Data Analyst in the Discovery department at Wikimedia Foundation.☆111Updated 8 years ago
- Data Science for Good Projects☆49Updated 6 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆275Updated 8 years ago
- Doing Bayesian statistics in Python!☆67Updated 7 years ago
- Code material for a data science tutorial☆199Updated 7 years ago
- ☆31Updated 6 years ago
- Materials for the "Introduction to Machine Learning" class☆228Updated 6 years ago
- ☆26Updated 8 years ago
- Data Analytics, Statistics, Visualization (R / Python)☆93Updated 7 years ago
- ☆107Updated 3 years ago
- ☆122Updated last year
- Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017☆81Updated 7 years ago
- My Personal Website and Blog☆31Updated 5 years ago
- ☆97Updated 7 years ago
- JupyterCon Missing Data Talk 2018☆23Updated 6 years ago
- R package for exploratory data analysis☆120Updated 7 years ago
- ☆26Updated 7 years ago
- a curated list of R tutorials for Data Science, NLP and Machine Learning☆23Updated 8 years ago
- Lecture content for UW Software Engineering for Data Scientists☆101Updated last year
- Workshop materials for ODSC 2019 Interpretability Talk☆25Updated 5 years ago
- Modeling Techniques in Predictive Analytics with Python and R☆67Updated 9 years ago
- COMS W4995 Applied Machine Learning - Spring 18☆158Updated 5 years ago
- "Network/Graph Analysis in Python" repository of 3 hours training session held at ODSC East 2018 and JupyterCon 2018.☆37Updated 6 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 7 years ago
- Collection of great (and free) machine learning books☆117Updated 3 years ago