Personal R Programming Project
Ecommerce Customer Churn Analysis and Prediction
detecting fake news using linguistic features. ML techniques ranging from hard and soft-clustering to fuzzy inference systems and neural networks. included FMID5 - Fuzzy Model Identification toolbox in MATLAB
Conducted sentiment analysis and data visualization on YouTube comments using the TextBlob library, uncovering insights on audience engagement, emoji usage, and video performance metrics. Implemented linear regression models to explore correlations between views, likes, video titles, and audience engagement.
This project focuses on extracting insights from raw data through various analyses, including exploring distributions, visualizing data with plots, and calculating measures of central tendency. The goal is to uncover meaningful patterns and trends within the dataset.
Exploratory analysis of House Prices dataset using Python.
Comparing compensation for jobs in data science field by various factors
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