https://github.com/asifdotexe/machinelearns

Welcome to the Machine Learning Projects repository! This repository serves as a central hub for all of my projects related to Machine Learning. Here, you'll find a collection of projects, code samples, and resources that explore various aspects of machine learning and its modeling.
https://github.com/asifdotexe/machinelearns

Last synced: about 2 months ago
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Welcome to the Machine Learning Projects repository! This repository serves as a central hub for all of my projects related to Machine Learning. Here, you'll find a collection of projects, code samples, and resources that explore various aspects of machine learning and its modeling.

• Host: GitHub
• URL: https://github.com/asifdotexe/machinelearns
• Owner: Asifdotexe
• Created: 2023-09-08T11:14:41.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-04-13T13:42:34.000Z (9 months ago)
• Last Synced: 2024-04-13T22:00:05.596Z (9 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 12.8 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Machine Learning Projects Repository

Welcome to the Machine Learning Projects repository! This repository serves as a central hub for all of my projects related to Machine Learning. Here, you'll find a collection of projects, code samples, and resources that explore various aspects of machine learning and its modeling.

## About the Repository

Machine learning is a dynamic field that encompasses a wide range of techniques and applications. This repository is dedicated to showcasing a multitude of projects and studies that span various aspects of machine learning, from classification and regression to natural language processing, computer vision, and beyond.

## Projects

In this repository, you'll discover projects that cover a wide range of topics in machine learning. Some examples of projects you can find here include:

> #### Supervised Machine Learning 


> - Sales Prediction based on Advertisement dataset

> - Simple Linear Regression on Fuel Consumption dataset

> - Naive Bayes on PIMA Diabetes dataset

> - Logistic Regression on PIMA Diabetes dataset

> - Decision Tree on Credit dataset


> #### Unsupervised Machine Learning 


> - Customer Clustering using K-Means on Telecom Company dataset


Each project comes with detailed explanations, code examples, and visualizations to help you grasp the concepts and techniques applied.