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Type: User
Bio: Data Fanatic
Location: Atlanta
Type: User
Bio: Data Fanatic
Location: Atlanta
Automatic feature engineering using deep learning and Bayesian inference using Keras and TensorFlow.
👩💻👨💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
Course materials for Data Mining at the University of Washington's Professional and Continuing Education.
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
Code repository for Deep Learning with Keras published by Packt
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras
Deep Learning for Mortgage Risk
Deep Learning for Mortgage Risk using Recurrent Neural Networks
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
PySpark, Databrick, h2o, MLlib
The 2018 Version of the dl-course
My solution to the book A Collection of Data Science Take-Home Challenges
The fast.ai deep learning library, lessons, and tutorials
Option Pricing, Volatility Prediction, Machine Learning, Black Scholas, Web Crawling
Code samples for using Python on Google Cloud Platform
Getting Started with TensorFlow, published by Packt
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
This is the Curriculum for "Learn Computer Science in 5 Months" By Siraj Raval on Youtube
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
Code repository for Learning PySpark by Packt
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.