matplotlib-library

This project is designed to analyze movies and streaming datasets using Pandas and Matplotlib. Practice data analysis and data visualization with 80+ real-world styled questions.

Analyze the customer data, build a neural network to help the operations team identify the customers that are more likely to churn, and provide recommendations on how to retain such customers

A comprehensive guide to visualizing data with Matplotlib, from basic plotting techniques to advanced customization, for effective data storytelling in data science and analysis.

This project aims to uncover the factors behind high cancellation rates in City & Resort Hotels, enabling data-driven strategies to enhance revenue and room utilization.

This project was for exploring and visualizing the sales data of a tech store. This project’s main focus was to clean the data, prepare it for analysis, explore and visualize the data given in the forms of many CSV files.

Assisting Yulu, India's micro-mobility provider, in understanding factors influencing shared electric cycle demand. Employing statistical tests and analysis on a dataset to identify significant predictors and gauge their impact on cycle demand.

A collection of Matplotlib practice notebooks covering data visualization techniques including bar charts, scatter plots, histograms, pie charts, and customization using Python.

This repository contains a Python implementation of Principal Component Analysis (PCA) for dimensionality reduction and variance analysis. PCA is a powerful statistical technique used to identify patterns in data by transforming it into a set of orthogonal (uncorrelated) components, ranked by the amount of variance they explain.