nsanghi / bayesian-methods-for-ml
My solutions to Coursera hosted Bayesian methods course. (https://www.coursera.org/learn/bayesian-methods-in-machine-learning)
☆27Updated 6 years ago
Related projects: ⓘ
- A Python Package for data processing and building ML models, primarily based on pandas and sklearn libraries.☆17Updated 4 years ago
- ☆10Updated this week
- Python demos for Chris Bishop's PRML textbook, and other machine learning stuff☆23Updated 2 years ago
- Original implementation of Calibrated Boosting-Forest☆18Updated 6 years ago
- The winning solution to the Ad Placement Challenge (NIPS'17 Causal Inference and Machine Learning Workshop)☆38Updated 6 years ago
- Jupyter Notebook presentation for class imbalance in binary classification☆50Updated 6 years ago
- 32/2384 Solution to Kaggle Mercari Competition (solo silver medal winner)☆20Updated 6 years ago
- The code to generate a top 20 score in the amazon classification challenge using Driverless AI's predictions and feature engineering : In…☆18Updated 6 years ago
- ☆13Updated this week
- A research into the workflow for Kaggle competition (and data science in general) collaboratively☆46Updated 7 years ago
- Using Imblearn To Tackle Imbalanced Data Sets☆37Updated 7 years ago
- Implementation of Counterfactual risk minimization☆26Updated 7 years ago
- Bayesian Deep Learning with Edward (and a trick using Dropout)☆15Updated 7 years ago
- Predicting treatment effects from RCTs (Circulation: CQO 2019).☆9Updated 2 years ago
- Transfer learning for flight-delay prediction via variational autoencoders in Keras☆33Updated 7 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2017☆26Updated last year
- Starter kit for getting started in the NIPS 2017 Criteo Ad Placement Challenge☆19Updated 6 years ago
- This library is a wrapper for sklearn and works with data stored using Pandas module.☆17Updated 8 years ago
- Experiments in Bayesian Machine Learning☆67Updated 5 years ago
- Preparing continuous features for neural networks with GaussRank☆45Updated 6 years ago
- Various notebooks and tutorials on subjects of interest.☆36Updated 4 years ago
- Restricted Boltzmann Machine for collaborative filtering of movies.☆41Updated 5 years ago
- Repo for my blogs explaining swish activation function☆13Updated 6 years ago
- Scalable GP Adapter for Time Series Classification☆13Updated 7 years ago
- Links to Machine Learning Blogs☆12Updated 4 years ago
- Code for "Best arm identification in multi-armed bandits with delayed feedback", AISTATS 2018.☆19Updated 6 years ago
- ☆42Updated 6 years ago
- Deep Learning DTU summer school 2015☆22Updated 8 years ago
- A helper library for data science pipeline☆36Updated 5 years ago
- stanford cs224d 2016 assignment☆18Updated 7 years ago