Data Science

A list of 50 Data Science projects on select problem statements, which I have developed since September 1, 2022.

The goal of creating this repository is to have hands-on knowledge on:

• Data Cleaning
• Exploratory Data Analysis
• Feature Engineering
• Visualization of data

General Structure of the projects:

• Import libraries.
• Load in the dataset.
• Getting familiar with the dataset (checking for null-values, info, describe, head, etc.).
• Cleaning the dataset (Filling missing values, dropping missing values, etc.).
• Feature Engineering.
• Visualizing the data.
• Gain insights and inference from the results.

Number	Notebook	Project Name	Data
01	Project 1	Global Plastic Pollution Analysis	Plastic Waste Generated Dataset, Plastic Waste Mismanaged Dataset
02	Project 2	Feature Engineering on Movies Data	movies, ratings
03	Project 3	Exploratory Data Analysis on Uber Drives Data	Uber Drives 2016
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