Welcome to the Data Projects Repository! This repository contains a collection of data science projects that I have worked on, covering various aspects of data scraping, analysis, visualization, machine learning, and SQL.
The repository is organized into the following directories:
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Data Scraping: This directory contains projects related to API and web scraping. Here, you'll find scripts and tools used to extract data from various online sources.
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Data Analysis (EDA): This section includes exploratory data analysis projects. These projects focus on understanding data distributions, identifying patterns, and generating insights through visualizations and statistical analysis.
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Dashboards: In this directory, you'll find interactive dashboards created to visualize data and present insights in a user-friendly manner. These dashboards are built using tools like Tableau, Power BI, or Plotly Dash.
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Machine Learning: This directory contains machine learning projects, including model development, training, and evaluation. Projects here cover a range of algorithms and techniques applied to different datasets.
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SQL: This section includes SQL scripts and projects focused on database querying and manipulation. You'll find examples of data extraction, transformation, and analysis using SQL.
To get started with any of the projects in this repository, follow these steps:
- Clone the Repository.
- Follow Project-Specific Instructions. Each project may have its own set of instructions or requirements.
- Look for a
READMEfile or documentation within the project directory for more details.
Python: Most projects require Python. Ensure you have Python installed on your machine.Libraries: Install necessary Python libraries using pip. Refer to the requirements.txt file in each project for specific dependencies.
This repository is licensed under the MIT License. See the LICENSE file for more information.
For questions or suggestions, please contact me via the email on my profile or LinkedIn.