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amazonproductrecommendation-cf-als-spark

We have chosen Amazon product sales data set comprising of sales activity and user ratings for each product. The idea is to create a product suggestion/recommendation system for each user based on his previous purchases and his rating for each one. A Collaborative Filtering model is built to predict the virtual ratings for the product that the user did not purchase. The system predicts the user rating for all the items and we display the products which user may be like, buy and rate higher.

autokeras

accessible AutoML for deep learning.

automated-feature-engineering

Automated feature engineering in Python with Featuretools

bayes_computing_course

bayesian-analysis-with-python

Bayesian Analysis with Python by Packt

bayesian-analysis-with-python-second-edition

Bayesian Analysis with Python - Second Edition, published by Packt

bayesian-hmm

A non-parametric Bayesian approach to Hidden Markov Models

bayesian-modelling-in-python

A python tutorial on bayesian modeling techniques (PyMC3)

bayesian-multivariate-time-series-causal-inference

R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''

bios8366

Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics

bootstrapped

Generate bootstrapped confidence intervals for A/B testing in Python.

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

covid_bayesian_mcmc

Bayesian Markov Chain Monte Carlo Forecast for COVID-19

data-analysis

Data Science Using Python

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-with-keras

Code repository for Deep Learning with Keras published by Packt

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

edward2-notebooks

Jupyter Notebooks that show the basic functionalities of edward2

eli5

A library for debugging/inspecting machine learning classifiers and explaining their predictions

featexp

Feature exploration for supervised learning

feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

featuretools

An open source python framework for automated feature engineering

gp_regression

A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)

hctsa

Highly comparative time-series analysis code repository

hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

imylu

Pure Python implementation of machine learning algorithms

intro_stat_modeling_2017

Introduction to Statistical Modeling with Python (PyCon 2017)