https://github.com/debjyotisaha/data-science-projects-phase-2
Developed and implemented data science projects leveraging Python, machine learning algorithms, and statistical techniques. Focused on predictive modelling, data preprocessing, and insights generation to solve real-world problems.
https://github.com/debjyotisaha/data-science-projects-phase-2
analysis data-visualization distribution python
Last synced: about 2 months ago
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Developed and implemented data science projects leveraging Python, machine learning algorithms, and statistical techniques. Focused on predictive modelling, data preprocessing, and insights generation to solve real-world problems.
- Host: GitHub
- URL: https://github.com/debjyotisaha/data-science-projects-phase-2
- Owner: DebjyotiSaha
- Created: 2024-09-22T14:39:36.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-12-05T10:59:10.000Z (over 1 year ago)
- Last Synced: 2025-02-10T00:29:04.252Z (over 1 year ago)
- Topics: analysis, data-visualization, distribution, python
- Language: Jupyter Notebook
- Homepage:
- Size: 25.6 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Data Science Projects - Phase 2
This repository contains a collection of data science projects implemented using Python. The projects demonstrate various data analysis, machine learning, and visualization techniques.
## Projects
1. **EV Market Share Analysis**: Analyzing trends and insights in the Electric Vehicle market.
2. **Time Series Clustering**: Clustering time series data for trend analysis.
3. **Time Series Forecasting**: Forecasting time series data with distribution.
## Getting Started
1. Clone the repository: `git clone https://github.com/DebjyotiSaha/Data-Science-Projects-Phase-2.git`
2. Install required libraries: `pip install -r requirements.txt`
3. Explore the Jupyter notebooks for detailed analysis.
## License
This project is open-source and available under the MIT License.