ayusharora99 Goto Github PK

100_days_of_code

Coding with Baseball Data

2018_umpires

alan-sdk-ios

Alan iOS SDK

alanai

analyzingbaseballdatawithr

Data Analysis on baseball data using Machine Learning

bioinformatics_textbook_track

:rocket: Solutions for the Bioinformatics Textbook Track Problems from Rosalind

connect_four

Implemented an agent to play Connect Four using the alpha-beta search algorithm and the expectimax search algorithm to select the next best move given the current board state.

cs183

Web Applications

cs253p_lab2

cs260p-algorithm

UCI MCS CS260P Algorithm Project

dininghall_alexa

An Alexa skill that scrapes the menu from the UCSC dining hall website and lists the appropriate menu for a user who asks for a specific meal at a specific dining hall.

e-collegebooks

CS 183 Group Project

flutter_app

Develop Alan Flutter Open Source App for industry use cases

geico

hands_on_ml

Hands-On Machine Learning Projects with Scikit-Learn, Keras, & Tensorflow

introduction-to-machine-learning

This repo will house all our course material and code snippets from the Introduction to Machine Learning Class

lyftmotionprediction

We are predicting the motion of the objects in a given scene. For test, you will have 99 frames of objects moving around will be asked to predict their location in the next 50.

machine_learning_algorithms

Coding Machine Learning Algorithms from Scratch in Python

machinelearning2018

Projects created over Summer 2018

machinelearningcoursera

Coursera Course on Machine Learning by Stanford University

maps-nearme

An app suited for tourists that can find directions to and call the phone number of any point of interest nearby

movie_recommendation

A model that takes prior movie ratings from a customer and past movie ratings from numerous users on IMDb and recommends a list of movies to the customer

openwar

Analyzing openWAR for the 2018 season

pitch_classification

r

Sabermetrics 101: Introduction to Baseball Analytics

real_or_not

Builds a machine learning model that predicts which Tweets are about real disasters and which one’s aren’t

rsports

shiftr

wakeforest

Builds a model to optimize defensive positioning of team for the upcoming season

yelp_reviews

Using NLP algorithms (XGBoost, Linear SVM) to predict star rating of 1-5 based on user reviews with an accuracy of 60.2%. Written report and presented as part of Machine Learning course.