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A collection of data science projects that explore various datasets, applying analysis, machine learning, and data visualization techniques to extract valuable insights and solve real-world problems.

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asitdave/Data-Science-Projects

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Welcome to My Data Science Projects Repository!

This repository is a collection of my data science projects where I dive deep into analyzing, forecasting, and extracting actionable insights from various data sets. Each project showcases different aspects of data analysis, machine learning, and data visualization. Below is an overview of the projects included in this repository:

Projects Overview

Project Title Description Key Insights
Website Traffic Analysis & Forecasting Analyze website traffic data and forecast future trends using SARIMA. Traffic patterns, user engagement, future traffic predictions to optimize digital strategies.
Rainfall Trend in India (1901-2015) Analyze rainfall patterns across India, uncover trends, and predict future rainfall for better resource management and agricultural planning. Long-term trends, seasonal patterns, and forecasting of future rainfall.
Store Sales and Profit Analysis Analyze sales, profit margins, and discount effects to identify trends and improve profitability. Sales trends, profitable products, regional performance, discount impact.
Food Delivery Cost and Profitability Analysis Examines cost structure, profitability, and discount strategies for a food delivery service. Peak order times, discount impact on profits, optimized pricing strategies.

Data Science Skills Showcase

The projects in this repository demonstrate my proficiency in a wide range of data science skills, including:

  • Data Cleaning & Preprocessing
  • Exploratory Data Analysis (EDA)
  • Statistical Analysis
  • Machine Learning Models (Regression, Classification)
  • Time Series Analysis
  • Data Visualization (Matplotlib, Seaborn, Plotly)

Installation

Clone the repository to your local machine to explore the projects:

git clone https://github.com/asitdave/data-science-projects.git

How to Contribute

Feel free to fork the repository and create pull requests with your suggestions, improvements, or fixes! I appreciate contributions from the data science community.

  1. Fork the repository
  2. Create a new branch
  3. Make your changes
  4. Submit a pull request

Thank you for exploring my projects! Feel free to reach out if you have any questions or ideas to discuss. Happy coding!

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A collection of data science projects that explore various datasets, applying analysis, machine learning, and data visualization techniques to extract valuable insights and solve real-world problems.

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