kcsekhar-de Goto Github PK
Name: KC Sekhar
Type: User
Bio: Cloud Data Engineer - Snowflake, Databricks & Azure Data Stack
Name: KC Sekhar
Type: User
Bio: Cloud Data Engineer - Snowflake, Databricks & Azure Data Stack
100 Days of ML Coding
Given an online ad, this application uses SVM, Naive Bayes, and Logistic Regression to predict whether the ad will be clicked by a user or not. The application works on Apache Spark and is designed to work on a large distributed dataset on a cluster.
Artificial Intelligence for Humans
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Used TensorFlow to build a neural network that can predict which country a new AirBnB user will book their first trip to.
Anatomy of Matplotlib -- tutorial developed for the SciPy conference
Owner: Jacob Parr | Apache Spark Programming with Databricks
Course materials for the Applied Data Science with Python specialization from the University of Michigan on Coursera
Solve complex real-life problems with the simplicity of Keras
Applied Artificial intelligence Course from Online course Notes
Curated list of 2vec-type embedding models
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome Deep Learning tutorials, projects and communities.
The most cited deep learning papers
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of articles, papers and tools for managing the building and deploying of machine learning models, aka machine learning engineering.
A curated list of awesome Microsoft Fabric resources, updates, blogs, videos and more
Awesome Awesome List of Machine Learning Papers, Books, Blogs, etc
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Materials for a workshop on developing undergraduate classes on Bayesian statistics.
Code for a tutorial on Bayesian Statistics by Allen Downey.
Bayesian statistics seminars
Hadoop, Spark and Storm based outlier analysis implementations for data quality, cyber security, fraud detection
Analysis of SQL Leetcode and classic interview questions, common pitfalls, anti-patterns and handy tricks. Sample databases.
Mastering Bitcoin 2nd Edition - Programming the Open Blockchain
Python script that will look for tickets availability in Bookmyshow
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.