Metadata-Version: 2.1
Name: vaibhav_pracs
Version: 0.1.2
Summary: A collection of data analysis, ML, and visualization scripts.
Home-page: https://github.com/yourusername/vaibhav_pracs
Author: Vaibhav
Author-email: your.email@example.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: statsmodels
Requires-Dist: scikit-learn
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: plotly
Requires-Dist: altair
Requires-Dist: textblob
Requires-Dist: wordcloud

# 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

```bash
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.
