Pinned Repositories
Cab-ETA-prediction
Built an ensemble model with XGBoost and CatBoost to predict the total ride duration of taxi trips
Data-Science--Cheat-Sheet
Cheat Sheets
DataScience-with-python
Data scientist career track on www.datacamp.com
Digit-recognition-using-Neural-networks
Built using Keras, Tensorflow and Tkinter (GUI) libraries in Python
Distributed-file-sharing-system
A distributed file sharing system with replication of data and dynamic leader election.
DragonBallZ-Game
An arcade game built using Greenfoot (Java based-IDE) implementing design patterns in Java
Sentiment-Analysis
Built RCNN, SVM, and Naive Bayes models using Yelp reviews data
Text-classification-and-summarization
Built Logistic regression, SVM, Naive Bayes, RandomForest, KNN for text classification on scrapped news data. Built Text rank, LDA and K-means clustering for text summarization.
saiharshithreddy's Repositories
saiharshithreddy/Text-classification-and-summarization
Built Logistic regression, SVM, Naive Bayes, RandomForest, KNN for text classification on scrapped news data. Built Text rank, LDA and K-means clustering for text summarization.
saiharshithreddy/Digit-recognition-using-Neural-networks
Built using Keras, Tensorflow and Tkinter (GUI) libraries in Python
saiharshithreddy/Distributed-file-sharing-system
A distributed file sharing system with replication of data and dynamic leader election.
saiharshithreddy/Cab-ETA-prediction
Built an ensemble model with XGBoost and CatBoost to predict the total ride duration of taxi trips
saiharshithreddy/DataScience-with-python
Data scientist career track on www.datacamp.com
saiharshithreddy/Data-Science--Cheat-Sheet
Cheat Sheets
saiharshithreddy/DragonBallZ-Game
An arcade game built using Greenfoot (Java based-IDE) implementing design patterns in Java
saiharshithreddy/Sentiment-Analysis
Built RCNN, SVM, and Naive Bayes models using Yelp reviews data
saiharshithreddy/120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
saiharshithreddy/data-science-interview-questions-and-answers
Data science interview questions with answers. Not ideally (yet)
saiharshithreddy/Data-Science-Interview-Resources
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
saiharshithreddy/Deep-Learning-for-coders-notes
saiharshithreddy/Design-Patterns
saiharshithreddy/DS-Algo-practice
My solutions to data structures and algorithm questions from leetcode.com
saiharshithreddy/Electoral-voting-system-using-blockchain
Electoral voting system using blockchain and face recognition
saiharshithreddy/Email-Effectiveness
Prediction of email sends, target audience and customer opening an email sent on a given day
saiharshithreddy/Enterprise_Distributed_Systems
CMPE 273 Assignments, labs and quizzes, Fall'18
saiharshithreddy/Flask_Restful
Sample programs on Flask restful
saiharshithreddy/Hacker-Rank-Solutions
Solutions for all the questions on Hacker Rank.
saiharshithreddy/Image-Captioning-using-Neural-Networks
Image caption generator with Web UI
saiharshithreddy/Java-Overloaded
Sample programs of Java concepts.
saiharshithreddy/Machine-Learning-with-Python
My practice of basics of ML and algos
saiharshithreddy/nlp
:memo: This repository recorded my NLP journey.
saiharshithreddy/Python-Overloaded
1. Basics of python | 2. OOP concepts | 3. DataStructures | 4. Algorithms
saiharshithreddy/saiharshithreddy.github.io
My portfolio website in progress
saiharshithreddy/Shell-Script-cheatsheet
saiharshithreddy/Shoppers-time-prediction
A predictive model to predict the shoppers time in fulfilling a customer’s requirement.
saiharshithreddy/Spartan-Messenger
A gRPC client server application
saiharshithreddy/Sports-Blogger
A web app for the user to write blogs about their favorite sports
saiharshithreddy/Team18
Web application for interviewer - interviewee mapping