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Name: Ashwin John Chempolil
Type: User
Twitter: thelegendashw1n
Location: Boston, MA
Name: Ashwin John Chempolil
Type: User
Twitter: thelegendashw1n
Location: Boston, MA
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INFO 6210 - Assignment - 2
MongoDB Assignment
A curated list of awesome Machine Learning frameworks, libraries and software.
Open-source KVM software
Third iteration of my personal site built with Jekyll
Python, Machine Learning, Deep Learning and Data Science Books
Books, Bots & Bytes
A collection of work related to COVID-19
A list of resources for our society members who have upcoming interviews!
Cheat Sheets
To make a dino game similar to one in chrome using pygames and later use genetic algorithm to train an agent to play the game . WORK IN PROGRESS!!!
CNN trained to play Google's dinosaur run game.
🚀✨ Help beginners to contribute to open source projects
Cardiovascular diseases (CVDs) are the number 1 cause of death globally, taking an estimated 17.9 million lives each year, which accounts for 31% of all deaths worlwide. Heart failure is a common event caused by CVDs and this dataset contains 12 features that can be used to predict mortality by heart failure. Most cardiovascular diseases can be prevented by addressing behavioural risk factors such as tobacco use, unhealthy diet and obesity, physical inactivity and harmful use of alcohol using population-wide strategies. People with cardiovascular disease or who are at high cardiovascular risk (due to the presence of one or more risk factors such as hypertension, diabetes, hyperlipidaemia or already established disease) need early detection and management wherein a machine learning model can be of great help.
Use the housing and yacht dataset to estimate the regression weights by normal equations. Compare the performance (measured through RMSE) with the results obtained using the gradient descent algorithm. In this section you will calculate the analytical solution in Python that we obtained through Normal equations to learn your weight vector, and contrast the performance (train- ing and test RMSE) for your gradient-descent based implementation.
Cloud Based Medical Insurance Database
Instagram bot built with Python 3.7 and the Selenium package.
Becoming 1% better at data science everyday
:pencil: Python / C++ 11 Solutions of All 468 LeetCode Questions
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Companion webpage to the book "Mathematics For Machine Learning"
Cookie Cats is a hugely popular mobile puzzle game developed by Tactile Entertainment. It's a classic "connect three" style puzzle game where the player must connect tiles of the same color in order to clear the board and win the level. It also features singing cats. We're not kidding! As players progress through the game they will encounter gates that force them to wait some time before they can progress or make an in-app purchase. In this project, we will analyze the result of an A/B test where the first gate in Cookie Cats was moved from level 30 to level 40. In particular, we will analyze the impact on player retention.
Since 2008, guests and hosts have used Airbnb to expand on traveling possibilities and present more unique, personalized way of experiencing the world. This dataset describes the listing activity and metrics in NYC, NY for 2019. In this project, I would be exploring the dataset learning more about how the listings in New York City are prices in different buroughs. I will also be building a machine learning model predict the price of listings.
Natural Language Processing Tutorial for Deep Learning Researchers
:paperclip: Summaries of papers on deep learning
Notebooks for the "A walk with fastai2" Study Group and Lecture Series
This is the second iteration of 'project_cs' using mkdocs framework. This will act as my primary source of keeping notes, blogs. The reason for using mkdocs is that it allows for muti-repo documentation similar to spotify. Much more scalable, extendable and down right easy to use
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.