ashwinjohn3 Goto Github PK

anime-recommendation-database

Anime Recommendation Engine

assignment-2

INFO 6210 - Assignment - 2

assignment-3

MongoDB Assignment

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

barrier

Open-source KVM software

bchiang7.github.io

Third iteration of my personal site built with Jekyll

book_list

Python, Machine Learning, Deep Learning and Data Science Books

books_bots_bytes

Books, Bots & Bytes

covid-19

A collection of work related to COVID-19

cracking-the-data-science-interview

A list of resources for our society members who have upcoming interviews!

data-science--cheat-sheet

Cheat Sheets

deep_learning

dino_game

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!!!

dinoai

CNN trained to play Google's dinosaur run game.

first-contributions

🚀✨ Help beginners to contribute to open source projects

heart-failure-prediction

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.

ie7374_hw_1

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.

info-6210-final-project

Cloud Based Medical Insurance Database

instagram-bot

Instagram bot built with Python 3.7 and the Selenium package.

learning

Becoming 1% better at data science everyday

leetcode

:pencil: Python / C++ 11 Solutions of All 468 LeetCode Questions

ml-from-scratch

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.

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

mobile-games-a-b-testing-with-cookie-cats-datacamp

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.

new-york-city-airbnb-open-data

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.

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nyc-taxi-fare-prediction

papers

:paperclip: Summaries of papers on deep learning

practical-deep-learning-for-coders-2.0

Notebooks for the "A walk with fastai2" Study Group and Lecture Series

project_cs_v2

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