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Exploratory Data Analysis - Bollywood Movies & Cereal Ratings: In these notebooks, we perform Exploratory Data Analysis on two datasets by using libraries like NumPy, Pandas, SciPy, Matplotlib & Seaborn.
Recommendation System: In this notebook, we build a Recommendation System using the Collaborative Filtering technique on the MovieLens Dataset.
Association Rule Mining: In this notebook, we extract rules using Association Rule Mining and perform Market Basket Analysis by setting appropriate values of Lift, Support, and Confidence.
Sentiment Analysis: In this notebook, we perform Sentiment Polariy Analysis by preprocessing the data - converting to lowercase, removing punctuations, expanding contractions, etc. We also perform N-Gram analysis of reviews.
Time Series Analysis: In this notebook, we forecast the unemployment rate using Time Series Models like ARIMA, ARIMAX, SARIMA, and SARIMAX.