hemanthvarma Goto Github PK
Name: Hemanth Varma
Type: User
Bio: >>>print(about_me) Have No CLUE >>>print(work) Data Scientist
Location: Hyderabad
Name: Hemanth Varma
Type: User
Bio: >>>print(about_me) Have No CLUE >>>print(work) Data Scientist
Location: Hyderabad
CodePipeline Integration with Bitbucket Server(bitbucket hosted on-prem)
Essential Cheat Sheets for deep learning and machine learning researchers
Awesome Projects in Python - Machine Learning Applications, Games, Desktop Applications all in Python :snake:
We will do a condition monitoring of a test hydraulic rig, using various sensor values and using xgboost for classification
This repository includes course assignments of applied machine learning with python on coursera by university of michigan.
Deliverable: customer segmentation machine learning cluster model using dataset of past purchase data at the transaction level.
Cheat Sheets
This repository contains all my pet projects
Working with a classification problem
Build and Deploy Machine Learning Models on the Cloud
a curated list of R tutorials for Data Science, NLP and Machine Learning
Code repository for Deep Learning with Keras published by Packt
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
Published by Packt
Healthcare analytics
Notebook from the talk
Demo webapp that parses a CSV in the frontend and applies a ML algorithm on the parsed data in the backend.
Data Science problem on Kaggle Solved by me. Keep improving Accuracy.
About AWS and almost everything out there.
This Repository has everything you want to know about python for Data Science Beginners.
Linear Algebra for Machine Learning Book Exercises
EliteDataScience's Machine Learning Masterclass course.
Building and Embedding Machine Learning Model into a Web App(With Flask,etc)
Python code for common Machine Learning Algorithms
Class I taught to Dell software engineers in early 2017
Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis).
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.