vaibhav-pracs 0.1.2

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

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.