https://github.com/codebytemirza/ml_practices

https://github.com/codebytemirza/ml_practices

Last synced: 2 months ago
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• Host: GitHub
• URL: https://github.com/codebytemirza/ml_practices
• Owner: codebytemirza
• Created: 2024-07-31T19:53:17.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-07-31T20:35:14.000Z (over 1 year ago)
• Last Synced: 2025-02-03T20:11:58.554Z (about 1 year ago)
• Language: Jupyter Notebook
• Size: 5.86 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# ML_practices

![](https://drive.google.com/uc?export=view&id=1kbu0-kJ7nvOLLg3mhL-H-VlMOfoKNIGP)

This repository contains a collection of machine learning practice exercises and examples. The code is written in Python and utilizes the NumPy library for numerical operations.

## Contents

- **Numpy Basics**: This section covers fundamental NumPy operations such as creating arrays, checking dimensions and shape, and performing basic manipulations.

- **Array Creation**: Examples of creating arrays filled with ones, zeros, or empty arrays.

- **Array Functions**: Demonstrates various NumPy functions like `arange`, `linspace`, `reshape`, `ravel`, `flatten`, and `transpose`.

## Getting Started

1. **Clone the repository:** `git clone https://github.com/codebytemirza/ML_practices.git`

2. **Install NumPy:** `pip install numpy`