punitaojha Goto Github PK

-100daysofmlcode

10-easy-steps

A Repository Created for #Hacktoberfest to Help Beginners Get Started with Code

2017.fossasia.org

Website of FOSSASIA OpenTechSummit 2017 http://2017.fossasia.org

angular-fun-app

Created with StackBlitz ⚡️

angular8meanstackangularmaterial

Angular 8 MEAN Stack Tutorial – Build CRUD web application with Angular Material 7 - Learn to create an Angular single page web application from scratch.

basic-python-programs

blockchain

📖Code for Blockchain Demo

blockchain-angular-app

blockchain-web-app

boston-housing

Machine Learning Predictions For boston-housing prices .

c0d1ng

Open Source Community

capstone-project

capstoneproposal

chinese-checkers

A game which was invented in germany, initially called Stern Halma.

cloud_haiku

Community-made poetry about infrastructure

codewars

This is Punitas Codewars repository.

compat-table

ECMAScript 5/6/7 compatibility tables

console-redux

A little console app that shows you how to use redux without React or Angular (used in Pluralsight course)

core

:house_with_garden: Open source home automation that puts local control and privacy first

creating-customer-segmentation

A wholesale distributor recently tested a change to their delivery method for some customers, by moving from a morning delivery service five days a week to a cheaper evening delivery service three days a week. Initial testing did not discover any significant unsatisfactory results, so they implemented the cheaper option for all customers. Almost immediately, the distributor began getting complaints about the delivery service change and customers were canceling deliveries — losing the distributor more money than what was being saved. You’ve been hired by the wholesale distributor to find what types of customers they have to help them make better, more informed business decisions in the future. Your task is to use unsupervised learning techniques to see if any similarities exist between customers, and how to best segment customers into distinct categories.

datasets

🤗 Fast, efficient, open-access datasets and evaluation metrics for Natural Language Processing and more in PyTorch, TensorFlow, NumPy and Pandas

experiments

final-capstone-project-

finding-donors-for-charity-ml

CharityML is a fictitious charity organization located in the heart of Silicon Valley that was established to provide financial support for people eager to learn machine learning. After nearly 32,000 letters were sent to people in the community, CharityML determined that every donation they received came from someone that was making more than $50,000 annually. To expand their potential donor base, CharityML has decided to send letters to residents of California, but to only those most likely to donate to the charity. With nearly 15 million working Californians, CharityML has brought you on board to help build an algorithm to best identify potential donors and reduce overhead cost of sending mail. Our goal will be evaluate and optimize several different supervised learners to determine which algorithm will provide the highest donation yield while also reducing the total number of letters being sent.

first-contributions

🚀 Yet another project to get beginners contributing to open source 🔰

fossasia-communities

FOSSASIA API Files of Communities in Asia

fossasia.org

FOSSASIA Website http://fossasia.org

freecodecamp

gci15.fossasia.org

FOSSASIA GCI Site 2015/16 http://gci15.fossasia.org

geckos-team-3

Voyage-4