yash-saini
MS CSE at University at Buffalo | DTU Alumnus | Ex-Consultant @ Deloitte
Univeristy at BuffaloBuffalo
Pinned Repositories
Emotion-analysis-of-Tweets-from-top-3-colleges-of-the-world.
The project caters to finding the 5 sentiment scores (Happiness,Fear,Anger, Disgust,Sadness) of each tweet using a described formula.
Hate-Speech-Analysis
This research deals with analyzing the hate speech with a novel method of combining LDA with SOM. Experimentally no of topics derived from the dataset after the application of LDA was 10. Dominant topic was calculated for each data value. This data was fed to a SOM network initially assigned with random weights. The learning rate for SOM was 0.5 and number of iterations were 100. The clusters were formed as a result and the map was displayed.
Icebreaker-Event
Meteor-project
Project-on-Cancer-detection-
The project is based on using supervised machine learning techniques (KNN,SVM and xgboost) on wisconsin dataset of breast cancer, the accuracy and other metrics of the techniques are pit against each other.
Python-stock-market-analysis
The project analyzes the stocks of three major car companies , compares them , plots graphs and calculates returns & cumulative returns on them.
Sentiment-Analysis-
The project 'Sentiment Analysis of top colleges in India using Twitter Data', extracts tweets from the twitter , preprocesses them , assigns sentiment scores and then using different ML techniques , their accuracies are compared.
Stock-trends-prediction-using-RNN
RNN is used here to predict the trends using historical stock data obtained through yahoo finance
text_editor
TextChanger is a reactjs app which caters to performing various functionalities such as conversion of a text to Uppercase, Lowercase, counting vowels and consonants, reading the input text aloud and stopping it, clearing the input text, displaying the preview, and counting the words and characters.
Tidings_Today
This application built on React.js displays various news articles fetched from News API website. The application hosts several features namely Dark Mode/ Various news categories/ Next and previous buttons/ About section / Loading spinner/ Loading bar / news-items cards.
yash-saini's Repositories
yash-saini/Emotion-analysis-of-Tweets-from-top-3-colleges-of-the-world.
The project caters to finding the 5 sentiment scores (Happiness,Fear,Anger, Disgust,Sadness) of each tweet using a described formula.
yash-saini/Sentiment-Analysis-
The project 'Sentiment Analysis of top colleges in India using Twitter Data', extracts tweets from the twitter , preprocesses them , assigns sentiment scores and then using different ML techniques , their accuracies are compared.
yash-saini/Icebreaker-Event
yash-saini/Meteor-project
yash-saini/Project-on-HR-analytics
This project makes use of various ensemble learning techniques for example bagging, boosting ,gradient boosting machine and extreme gradient boosting machine on an HR dataset attached herewith. The measures of performance for each technique is calculated.
yash-saini/Stock-trends-prediction-using-RNN
RNN is used here to predict the trends using historical stock data obtained through yahoo finance
yash-saini/UB_Course
This repository caters to having reviews of various Master's level courses currently (fall 2022 onwards) taught at the University at Buffalo (State University of New York)
yash-saini/Hate-Speech-Analysis
This research deals with analyzing the hate speech with a novel method of combining LDA with SOM. Experimentally no of topics derived from the dataset after the application of LDA was 10. Dominant topic was calculated for each data value. This data was fed to a SOM network initially assigned with random weights. The learning rate for SOM was 0.5 and number of iterations were 100. The clusters were formed as a result and the map was displayed.
yash-saini/Project-on-Cancer-detection-
The project is based on using supervised machine learning techniques (KNN,SVM and xgboost) on wisconsin dataset of breast cancer, the accuracy and other metrics of the techniques are pit against each other.
yash-saini/Python-stock-market-analysis
The project analyzes the stocks of three major car companies , compares them , plots graphs and calculates returns & cumulative returns on them.
yash-saini/text_editor
TextChanger is a reactjs app which caters to performing various functionalities such as conversion of a text to Uppercase, Lowercase, counting vowels and consonants, reading the input text aloud and stopping it, clearing the input text, displaying the preview, and counting the words and characters.
yash-saini/Tidings_Today
This application built on React.js displays various news articles fetched from News API website. The application hosts several features namely Dark Mode/ Various news categories/ Next and previous buttons/ About section / Loading spinner/ Loading bar / news-items cards.
yash-saini/Autoencoders-movie-recommender-system
As per the Deep learning course A-Z , a movie recommender system was created for the MovieLens dataset.
yash-saini/C-programs
yash-saini/Cloud_Notebook
This application caters to building a full stack application depicting the features of snippets of notes saved to the cloud.
yash-saini/Cloud_notebook_backend
This project contains the backend work of the cloud_notebook
yash-saini/Django-Blog-Clone-Project
yash-saini/FaceDetect
yash-saini/FIRST_APPLICATION
yash-saini/Hate-Speech-Scanning-using-K-means-clustering-and-LDA
yash-saini/Image_Augmentation
This repository contains the jupyter notebook catering to demonstrating the image augmentation techniques using pytorch.
yash-saini/junction
Junction is a software to manage proposals, reviews, schedule, feedback during conference.
yash-saini/lidar_super_resolution
Simulation-based Lidar Super-resolution for Ground Vehicles
yash-saini/LSTM
The following code depicts text generation using LSTM. The dataset used is Shakespeare's Macbeth. 50 characters are taken and 51st character is predicted using this model. 1 epoch cycle with 0.1 million entries fed to train the network.
yash-saini/Python
All Algorithms implemented in Python
yash-saini/Python-for-finance
yash-saini/Python_Programes
The repository contains some of the Python Programs
yash-saini/react-website-v1
yash-saini/Reactjs_tips_tricks
This repository caters to discussing about various tips and tricks which could be applied on any react project. Discussions revolve around essential react concepts and their practical applications
yash-saini/yash-saini
Introduction