awalkinclouds Goto Github PK
Type: User
Type: User
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.
accessible AutoML for deep learning.
Automated feature engineering in Python with Featuretools
Bayesian Analysis with Python by Packt
Bayesian Analysis with Python - Second Edition, published by Packt
A non-parametric Bayesian approach to Hidden Markov Models
A python tutorial on bayesian modeling techniques (PyMC3)
R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics
Generate bootstrapped confidence intervals for A/B testing in Python.
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.
Bayesian Markov Chain Monte Carlo Forecast for COVID-19
Data Science Using Python
Deep Learning Specialization by Andrew Ng on Coursera.
Code repository for Deep Learning with Keras published by Packt
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
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
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Jupyter Notebooks that show the basic functionalities of edward2
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Feature exploration for supervised learning
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
An open source python framework for automated feature engineering
A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)
Highly comparative time-series analysis code repository
Hidden Markov Models in Python, with scikit-learn like API
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Pure Python implementation of machine learning algorithms
Introduction to Statistical Modeling with Python (PyCon 2017)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.