https://github.com/harshavardh8n/machine-learning-projects

Machine Learning Projects: A collection of machine learning projects developed as part of the curriculum, utilizing libraries such as NumPy, Pandas, Seaborn, and Matplotlib. These projects demonstrate various algorithms, including Apriori and Decision Trees, showcasing practical applications and data analysis techniques.
https://github.com/harshavardh8n/machine-learning-projects

apriori-algorithm decision-trees jupyter-notebook machine-learning numpy pandas python

Last synced: 19 days ago
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Machine Learning Projects: A collection of machine learning projects developed as part of the curriculum, utilizing libraries such as NumPy, Pandas, Seaborn, and Matplotlib. These projects demonstrate various algorithms, including Apriori and Decision Trees, showcasing practical applications and data analysis techniques.

• Host: GitHub
• URL: https://github.com/harshavardh8n/machine-learning-projects
• Owner: harshavardh8n
• Created: 2024-09-13T15:56:04.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2024-09-13T15:59:04.000Z (2 months ago)
• Last Synced: 2024-10-09T17:21:21.345Z (about 1 month ago)
• Topics: apriori-algorithm, decision-trees, jupyter-notebook, machine-learning, numpy, pandas, python
• Language: Jupyter Notebook
• Homepage:
• Size: 7.03 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Machine Learning Projects

**Machine Learning Projects** is a repository containing a range of projects developed as part of a curriculum focusing on machine learning. These projects showcase practical applications and data analysis techniques using popular Python libraries and machine learning algorithms.

## Projects Overview

This repository includes projects that demonstrate various aspects of machine learning, including data preprocessing, visualization, and algorithm implementation. Key libraries and algorithms used are:

- **Libraries:**

  - **NumPy:** For numerical operations and array manipulations.

  - **Pandas:** For data manipulation and analysis.

  - **Seaborn:** For data visualization.

  - **Matplotlib:** For plotting and graphing.

- **Algorithms:**

  - **Apriori:** For association rule learning in data mining.

  - **Decision Trees:** For classification and regression tasks.

## Tech Stack

- **Programming Language:** Python

- **Libraries:** NumPy, Pandas, Seaborn, Matplotlib

- **Algorithms:** Apriori, Decision Trees

## Setup

1. **Clone the Repository**

   ```bash

   git clone https://github.com/your-username/machine-learning-projects.git

   cd machine-learning-projects