Kshitij-Shresth
Interests: Neuroscience, Cybersecurity, Chess, Deep Learning, Quantitative Finance, Swimming & History
Pinned Repositories
Customer-Insight-Clustering
Customer segmentation using K-Means clustering to analyse distinct customer groups based on their purchasing behaviours.
DataVest-AI
Finance-Dash
Index-Fund
Building an equally weighted index fund
Kshitij-Shresth
LeetCode-II-
Collection of my accepted LeetCode solutions
Live-News-Sentiment-Analyser
A TextBlob web application that allows users to analyze the sentiment of news articles based on a specified topic. The application fetches news articles using the News API and visualizes the results in a ring chart.
Loan-Status-Prediction
Loan approval system using svm
metrics
Movie-Recommendation
A Flask-based movie recommender system based on TF-IDF vectorization and cosine similarity.
Kshitij-Shresth's Repositories
Kshitij-Shresth/Customer-Insight-Clustering
Customer segmentation using K-Means clustering to analyse distinct customer groups based on their purchasing behaviours.
Kshitij-Shresth/DataVest-AI
Kshitij-Shresth/Finance-Dash
Kshitij-Shresth/Index-Fund
Building an equally weighted index fund
Kshitij-Shresth/Kshitij-Shresth
Kshitij-Shresth/LeetCode-II-
Collection of my accepted LeetCode solutions
Kshitij-Shresth/Live-News-Sentiment-Analyser
A TextBlob web application that allows users to analyze the sentiment of news articles based on a specified topic. The application fetches news articles using the News API and visualizes the results in a ring chart.
Kshitij-Shresth/Loan-Status-Prediction
Loan approval system using svm
Kshitij-Shresth/metrics
Kshitij-Shresth/Movie-Recommendation
A Flask-based movie recommender system based on TF-IDF vectorization and cosine similarity.
Kshitij-Shresth/NextText
Kshitij-Shresth/Quotation-System
Kshitij-Shresth/Real-Estate-Prediction
Flask application for predicting Real-Estate prices based on various features of the housing data using decision trees.
Kshitij-Shresth/RetentionIQ
Employee attrition software
Kshitij-Shresth/UL-Quant-Trading-Model
Quantitative investment strategy which leverages ML algorithms to identify high-potential stocks, optimize portfolio allocation, and visualise risk clusters and momentum trends.