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A collection of data analysis, ML, and visualization scripts.

Project description

Vaibhav Pracs

This package contains a compilation of Python and R scripts for various data analysis, machine learning algorithms implemented from scratch, NLP operations, and modern data visualization tests.

Installation

pip install vaibhav_pracs

Contents

  • Linear Regression: Simple and Multiple linear regression models calculated from scratch.
  • Logistic Regression: Logistic regression trained with manual gradient descent.
  • Time Series: ARIMA models and exponential smoothing from scratch.
  • NLP: Sentiment analysis using TextBlob, spam classification with Naive Bayes, and WordClouds.
  • Data Visualization: Tests across Matplotlib, Seaborn, Plotly, and Altair.

Note

Ensure you have the appropriate csv data files in your working directory to successfully execute the scripts without exceptions.

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