ML practice TASKS

This repository contains the tasks and projects completed during my ML practice.

Each project is organized in a separate folder with its related files, code, datasets, and documentation.

Projects

Project 1: Data Cleaning and Preparation

Objective:
Clean and prepare a raw dataset by handling data quality issues.

Tasks Performed:

• Identified and handled missing values
• Removed duplicate records
• Corrected data formats (dates, numbers, and text)
• Prepared a clean dataset for further analysis

Tools Used:

• Python
• Pandas
• NumPy
• Jupyter Notebook

Files:

• Data_Cleaning.ipynb - Data cleaning process
• data.csv - Raw dataset
• cleaned_data.csv - Cleaned dataset

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Skills

• Data Cleaning
• Data Preprocessing
• Python Programming
• Pandas Data Analysis
• Dataset Preparation

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Author

Muhammad Asim
BS Artificial Intelligence Student
Interested in Data Analytics, Machine Learning, and AI

GitHub:
https://github.com/pandas-Asim-netizen