brienna / BIOF509
Machine Learning and Object Oriented Programming with Python, a FAES course at the National Institutes of Health
☆20Updated 8 years ago
Alternatives and similar repositories for BIOF509:
Users that are interested in BIOF509 are comparing it to the libraries listed below
- In this Facebook live code along session with Hugo Bowne-Anderson, you're going to check out Google trends data of keywords 'diet', 'gym'…☆44Updated 7 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 7 years ago
- Teaching material and other info associated with the Information Extraction using Topic Models tutorial at SciPy US 2018.☆19Updated 6 years ago
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 7 years ago
- Small example on how you can detect multicollinearity☆13Updated 3 years ago
- Notes for Data Science 350 Class☆24Updated 8 years ago
- Python data analysis course for 2017 NGCM Summer Academy☆20Updated 7 years ago
- This is the Code for "Dimensionality Reduction - The Math of Intelligence #5" By Siraj Raval on Youtube☆50Updated 7 years ago
- Few tutorials on pandas, matplotlib and seaborn☆26Updated 8 years ago
- ☆9Updated 8 years ago
- Collection of presentation of my work on various platforms and meetups☆22Updated 6 years ago
- In-class exercises for Deep Learning course at NYC Data Science Academy☆32Updated 7 years ago
- Slides and code examples for H2O tutorials at various events☆56Updated 7 years ago
- Slides, code and more for my class: Data Analytics and Machine Learning on Big Data☆8Updated 7 years ago
- Yellowbrick is an open source, Python project that extends the scikit-learn API with visual analysis and diagnostic tools☆13Updated 5 years ago
- Bare minimum End-to-End ML application with Flask REST API Prediction Service☆11Updated 4 years ago
- Code for my presentation: Using PySpark to Process Boat Loads of Data☆20Updated 7 years ago
- Introductory overview of Bayesian inference☆44Updated 6 years ago
- Metis Data Science Portfolio - Summer 2017☆26Updated 7 years ago
- Materials for Applied Machine Learning Taught in Python☆36Updated 2 years ago
- Lecture content for Intro to Data Science 2018☆35Updated 7 years ago
- ☆23Updated last year
- Guidelines for the responsible use of explainable AI and machine learning.☆17Updated 2 years ago
- In which I implement some applications of machine learning techniques.☆30Updated 9 years ago
- A machine learning algorithm written to predict severity of insurance claim☆20Updated 8 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated last year
- This library is a wrapper for sklearn and works with data stored using Pandas module.☆17Updated 9 years ago
- ☆48Updated 6 years ago
- Work for Mastering Large Datasets with Python☆19Updated 2 years ago
- JupyterCon Missing Data Talk 2018☆23Updated 6 years ago