brienna / BIOF509Links
Machine Learning and Object Oriented Programming with Python, a FAES course at the National Institutes of Health
☆20Updated 9 years ago
Alternatives and similar repositories for BIOF509
Users that are interested in BIOF509 are comparing it to the libraries listed below
Sorting:
- 100 Days of Experimenting with TensorFlow Probability☆39Updated 6 years ago
- Few tutorials on pandas, matplotlib and seaborn☆27Updated 9 years ago
- Teaching material and other info associated with the Information Extraction using Topic Models tutorial at SciPy US 2018.☆19Updated 7 years ago
- For all Springboard related work, Capstone projects etc.☆10Updated 6 years ago
- Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/☆27Updated last year
- Slides and code examples for H2O tutorials at various events☆56Updated 8 years ago
- ☆48Updated 7 years ago
- Introductory overview of Bayesian inference☆43Updated 6 years ago
- Learning statistics with Python☆53Updated 4 years ago
- Codes, notes and guides on Udacity's machine learning nanodegree.☆81Updated 9 years ago
- A Little Book of Python for Multivariate Analysis☆87Updated 9 years ago
- 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
- A compiled list of kaggle competitions and their winning solutions for regression problems.☆149Updated 9 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- Experimenting with and teaching probabilistic programming☆105Updated 3 years ago
- Sample data science projects (machine learning, optimization, business intelligence)☆28Updated 7 years ago
- ☆91Updated 5 years ago
- Work for Mastering Large Datasets with Python☆20Updated 2 years ago
- Lecture content for Intro to Data Science 2018☆35Updated 7 years ago
- timeseries prediction using dynamic linear models and LSTM☆13Updated 8 years ago
- Guidelines for the responsible use of explainable AI and machine learning.☆17Updated 2 years ago
- Notes for Data Science 350 Class☆24Updated 8 years ago
- Content for the Model Interpretability Tutorial at Pycon US 2019☆41Updated last year
- An analysis of 93,000+ data science freelancers☆57Updated 9 years ago
- This is the Code for "Dimensionality Reduction - The Math of Intelligence #5" By Siraj Raval on Youtube☆50Updated 8 years ago
- Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).☆153Updated 7 years ago
- Tips for Advanced Feature Engineering☆53Updated 5 years ago
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 8 years ago
- ☆101Updated 7 years ago
- Course notes for Computational Statistics and Statistical Compuing☆63Updated 6 years ago