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data-cleaning-and-preprocessing

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Welcome to my data science repository! Here you will find a collection of resources and examples for exploring, analyzing, and manipulating data using Python. The repository includes code templates, case studies, and exercises to help you learn and practice data science concepts and techniques. The topics covered include data exploration, data visu

  • Updated Jan 2, 2023

The document outlines a data cleaning project for the IMDB dataset. The project includes loading the dataset, dropping unnecessary columns, identifying missing values, filling missing values, formatting and cleaning the data. The timeline for the project is 3 days, with specific tasks assigned to each day.

  • Updated Mar 22, 2023
  • Jupyter Notebook

The main objective of the Zometo Data Analysis project was to explore and analyze the Zometo dataset to gain meaningful insights into user behavior, product performance, and other relevant factors. By leveraging data analytics techniques, we aimed to uncover patterns, trends, and correlations with the data, ultimately providing valuable information

  • Updated Jun 2, 2023
  • Jupyter Notebook

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