Mini Projects on Data Analytics including Exploratory Data Analysis, Recommendation Systems, Association Rule Mining, Sentiment Analysis, Time Series Analysis
$ git clone https://github.com/khusheekapoor/DataAnalyticsProjects.gitA content-based recommender system that recommends movies similar to the movie the user likes and analyses the sentiments of the reviews given by the user
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
Data from GitHub · snapshot Sep 24, 2026