Merge branch 'Avdhesh-Varshney:main' into main

.github/ISSUE_TEMPLATE/bug-report.md

@@ -0,0 +1,28 @@
+---
+name: Bug Report 🐞
+about: Reporting for any bug in the project description or algorithm description.
+title: '🐛: '
+labels: ["Up-for-Grabs ✋", "bug 🐛"]
+assignees:
+   - ''
+
+---
+
+:red_circle: **Title** :
+:red_circle: **Bug** :
+:red_circle: **Changes** :  <!-- Explain the approach to handle this bug. -->
+
+
+### Screenshots 📷
+<!-- Write N/A if not available-->
+
+
+***********************************************************************
+:white_check_mark: **To be Mentioned while taking the issue :**
+- Full name : 
+- What is your participant role? (Mention the Open Source Program name. Eg. GSOC, GSSOC, SSOC, JWOC, etc.)
+
+***********************************************************************
+Happy Contributing 🚀 
+
+All the best. Enjoy your open source journey ahead. 😎

.github/ISSUE_TEMPLATE/config.yml

@@ -0,0 +1,8 @@
+blank_issues_enabled: true
+contact_links:
+  - name: Questions
+    url: https://discord.gg/tSqtvHUJzE
+    about: You can join the discussions on Discord.
+  - name: Login does not work
+    url: https://github.com/Avdhesh-Varshney/AI-Code/blob/main/README.md
+    about: Before opening a new issue, please make sure to read README.md

.github/ISSUE_TEMPLATE/enhancement-request.md

@@ -0,0 +1,28 @@
+---
+name: Enhancement Request 🧑‍💻
+about: Improving any styling or documentation of the project/algorithm
+title: '🧑‍💻: '
+labels: ["Up-for-Grabs ✋", "enhancement 🧑‍💻"]
+assignees:
+   - ''
+
+---
+
+:red_circle: **Title** :
+:red_circle: **Enhancement Aim** :
+:red_circle: **Changes** : <!-- Enlist those changes you want to do. -->
+
+
+### Screenshots 📷
+<!-- Write N/A if not available-->
+
+
+***********************************************************************
+:white_check_mark: **To be Mentioned while taking the issue :**
+- Full name : 
+- What is your participant role? (Mention the Open Source Program name. Eg. GSOC, GSSOC, SSOC, JWOC, etc.)
+
+***********************************************************************
+Happy Contributing 🚀 
+
+All the best. Enjoy your open source journey ahead. 😎

.github/ISSUE_TEMPLATE/project-request.md

@@ -0,0 +1,28 @@
+---
+name: Code Addition Request 📜
+about: Requesting for the new project/algorithm addition to contribute in this repository.
+title: '📃: '
+labels: 'Up-for-Grabs ✋'
+assignees:
+   - ''
+
+---
+
+:red_circle: **Title** :
+:red_circle: **Aim** :
+:red_circle: **Brief Explanation** :
+
+
+### Screenshots 📷
+<!-- Write N/A if not available-->
+
+
+***********************************************************************
+:white_check_mark: **To be Mentioned while taking the issue :**
+- Full name : 
+- What is your participant role? (Mention the Open Source Program name. Eg. GSOC, GSSOC, SSOC, JWOC, etc.)
+
+***********************************************************************
+Happy Contributing 🚀 
+
+All the best. Enjoy your open source journey ahead. 😎

.github/PULL_REQUEST_TEMPLATE.md

@@ -0,0 +1,52 @@
+Closes: <!-- #issue number  -->
+
+- **Title** : 
+- **Name:** <!--Mention Your name-->
+- **Idenitfy yourself:** <!-- Mention your role (like GSOC, GSSOC, SSOC, etc. Contributor) -->
+
+
+<!-- Mention the following details and these are mandatory -->
+
+### Describe the add-ons or changes you've made 📃
+
+Give a clear description of what have you added or modifications made
+
+
+### Type of change ☑️
+<!-- Please delete options that are not relevant. -->
+What sort of change have you made:
+<!--
+Example how to mark a checkbox:-
+- [x] My code follows the code style of this project.
+-->
+- [ ] Bug fix (non-breaking change which fixes an issue)
+- [ ] New feature (non-breaking change which adds functionality)
+- [ ] Code style update (formatting, local variables)
+- [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
+- [ ] This change requires a documentation update
+
+### How Has This Been Tested? ⚙️
+<!-- Describe how it has been tested
+Describe how have you verified the changes made -->
+
+
+
+### Checklist: ☑️
+<!--
+Example how to mark a checkbox:-
+- [x] My code follows the code style of this project.
+-->
+- [ ] My code follows the [Contributing Guidelines](https://github.com/Avdhesh-Varshney/AI-Code/blob/main/README.md) & [Code of Conduct](https://github.com/Avdhesh-Varshney/AI-Code/blob/main/CODE_OF_CONDUCT.md) of this project.
+- [ ] This PR does not contain plagiarized content.
+- [ ] I have performed a self-review of my own code.
+- [ ] I have commented my code, particularly wherever it was hard to understand.
+- [ ] My changes generate no new warnings.
+
+
+### Screenshots 📷
+<!-- Must add the screenshot of the project or your changes for review your pr -->
+
+
+### Note to reviewers 📄
+<!-- Add notes to reviewers if applicable -->
+

.github/workflows/auto-comment-pr-raise.yml

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+name: Auto Comment on PR
+
+on:
+  pull_request_target:
+    types: [opened]
+
+permissions:
+  issues: write
+  pull-requests: write
+
+jobs:
+  comment:
+    runs-on: ubuntu-latest
+
+    steps:
+    - name: Add Comment to Pull Request
+      run: |
+        COMMENT=$(cat <<EOF
+        {
+          "body": "Thank you for submitting your pull request! We'll review it as soon as possible. For further communication, join our discord server https://discord.gg/tSqtvHUJzE."
+        }
+        EOF
+        )
+        RESPONSE=$(curl -s -o response.json -w "%{http_code}" \
+          -X POST \
+          -H "Authorization: token ${{ secrets.GITHUB_TOKEN }}" \
+          -H "Accept: application/vnd.github.v3+json" \
+          https://api.github.com/repos/${{ github.repository }}/issues/${{ github.event.pull_request.number }}/comments \
+          -d "$COMMENT")
+        cat response.json
+        if [ "$RESPONSE" -ne 201 ]; then
+          echo "Failed to add comment"
+          exit 1
+        fi
+      env:
+        GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

AI/README.md

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+<h2>Hey <𝚌𝚘𝚍𝚎𝚛𝚜/>! 👋</h2>
+
+## Available Algorithms
+
+- A diverse collection of algorithms, each with clear explanations, test cases and practical examples.
+
+| S.No  | Algorithm | S.No. | Algorithm | S.No. | Algorithm |
+|-------|-----------|-------|-----------|-------|-----------|
+|   1   |           |   2   |           |   3   |           |
+|   4   |           |   5   |           |   6   |           |
+
+## Available Documentations
+
+- Detailed guides and tutorials on various topics. These resources are designed to assist both beginners and advanced learners in understanding complex concepts and implementing AI solutions.
+
+| S.No  | Documentation | S.No  | Documentation | S.No | Documentation |
+|-------|---------------|-------|---------------|------|---------------|
+|   1   |               |   2   |               |   3  |               |
+|   4   |               |   5   |               |   6  |               |
+
+## Available Projects
+
+- A variety of projects to demonstrate real-world applications of AI algorithms. These projects include datasets, code, and step-by-step explanations to help users apply their knowledge and develop practical skills.
+
+| S.No  | Project | S.No  | Project | S.No | Project |
+|-------|---------|-------|---------|------|---------|
+|   1   |         |   2   |         |   3  |         |
+|   4   |         |   5   |         |   6  |         |
+
+
+<div align="center">
+	<h3>Show some &nbsp;❤️&nbsp; by &nbsp;🌟&nbsp; this repository!</h3>
+</div>
+<a href="#top"><img src="https://img.shields.io/badge/-Back%20to%20Top-red?style=for-the-badge" align="right"/></a>

DL/README.md

@@ -0,0 +1,34 @@
+<h2>Hey <𝚌𝚘𝚍𝚎𝚛𝚜/>! 👋</h2>
+
+## Available Algorithms
+
+- A diverse collection of algorithms, each with clear explanations, test cases and practical examples.
+
+| S.No  | Algorithm | S.No. | Algorithm | S.No. | Algorithm |
+|-------|-----------|-------|-----------|-------|-----------|
+|   1   |           |   2   |           |   3   |           |
+|   4   |           |   5   |           |   6   |           |
+
+## Available Documentations
+
+- Detailed guides and tutorials on various topics. These resources are designed to assist both beginners and advanced learners in understanding complex concepts and implementing AI solutions.
+
+| S.No  | Documentation | S.No  | Documentation | S.No | Documentation |
+|-------|---------------|-------|---------------|------|---------------|
+|   1   |               |   2   |               |   3  |               |
+|   4   |               |   5   |               |   6  |               |
+
+## Available Projects
+
+- A variety of projects to demonstrate real-world applications of AI algorithms. These projects include datasets, code, and step-by-step explanations to help users apply their knowledge and develop practical skills.
+
+| S.No  | Project | S.No  | Project | S.No | Project |
+|-------|---------|-------|---------|------|---------|
+|   1   |         |   2   |         |   3  |         |
+|   4   |         |   5   |         |   6  |         |
+
+
+<div align="center">
+	<h3>Show some &nbsp;❤️&nbsp; by &nbsp;🌟&nbsp; this repository!</h3>
+</div>
+<a href="#top"><img src="https://img.shields.io/badge/-Back%20to%20Top-red?style=for-the-badge" align="right"/></a>

GAN/README.md

@@ -0,0 +1,34 @@
+<h2>Hey <𝚌𝚘𝚍𝚎𝚛𝚜/>! 👋</h2>
+
+## Available Algorithms
+
+- A diverse collection of algorithms, each with clear explanations, test cases and practical examples.
+
+| S.No  | Algorithm | S.No. | Algorithm | S.No. | Algorithm |
+|-------|-----------|-------|-----------|-------|-----------|
+|   1   |           |   2   |           |   3   |           |
+|   4   |           |   5   |           |   6   |           |
+
+## Available Documentations
+
+- Detailed guides and tutorials on various topics. These resources are designed to assist both beginners and advanced learners in understanding complex concepts and implementing AI solutions.
+
+| S.No  | Documentation | S.No  | Documentation | S.No | Documentation |
+|-------|---------------|-------|---------------|------|---------------|
+|   1   |               |   2   |               |   3  |               |
+|   4   |               |   5   |               |   6  |               |
+
+## Available Projects
+
+- A variety of projects to demonstrate real-world applications of AI algorithms. These projects include datasets, code, and step-by-step explanations to help users apply their knowledge and develop practical skills.
+
+| S.No  | Project | S.No  | Project | S.No | Project |
+|-------|---------|-------|---------|------|---------|
+|   1   |         |   2   |         |   3  |         |
+|   4   |         |   5   |         |   6  |         |
+
+
+<div align="center">
+	<h3>Show some &nbsp;❤️&nbsp; by &nbsp;🌟&nbsp; this repository!</h3>
+</div>
+<a href="#top"><img src="https://img.shields.io/badge/-Back%20to%20Top-red?style=for-the-badge" align="right"/></a>

ML/Algorithms/Regressions/ElasticNetRegression/ElasticNetRegression.py

@@ -0,0 +1,35 @@
+import numpy as np
+
+class ElasticNetRegression:
+    def __init__(self, alpha=1.0, l1_ratio=0.5, max_iter=1000, tol=1e-4):
+        self.alpha = alpha
+        self.l1_ratio = l1_ratio
+        self.max_iter = max_iter
+        self.tol = tol
+        self.coef_ = None
+        self.intercept_ = None
+
+    def fit(self, X, y):
+        n_samples, n_features = X.shape
+        self.coef_ = np.zeros(n_features)
+        self.intercept_ = 0
+        learning_rate = 0.01  
+
+        for iteration in range(self.max_iter):
+            y_pred = np.dot(X, self.coef_) + self.intercept_
+            error = y - y_pred
+
+            gradient_w = (-2 / n_samples) * (X.T.dot(error)) + self.alpha * (self.l1_ratio * np.sign(self.coef_) + (1 - self.l1_ratio) * 2 * self.coef_)
+            gradient_b = (-2 / n_samples) * np.sum(error)
+
+            new_coef = self.coef_ - learning_rate * gradient_w
+            new_intercept = self.intercept_ - learning_rate * gradient_b
+
+            if np.all(np.abs(new_coef - self.coef_) < self.tol) and np.abs(new_intercept - self.intercept_) < self.tol:
+                break
+
+            self.coef_ = new_coef
+            self.intercept_ = new_intercept
+
+    def predict(self, X):
+        return np.dot(X, self.coef_) + self.intercept_

ML/Algorithms/Regressions/ElasticNetRegression/README.md

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+# Elastic Net Regression
+
+This module contains an implementation of Elastic Net Regression, a powerful linear regression technique that combines both L1 (Lasso) and L2 (Ridge) regularization. Elastic Net is particularly useful when dealing with high-dimensional datasets and can effectively handle correlated features.
+
+## Usage
+
+To use Elastic Net Regression, follow these steps:
+
+1. Import the ElasticNetRegression class.
+2. Create an instance of the class, specifying parameters such as the regularization strength (alpha), the ratio between L1 and L2 regularization (l1_ratio), the maximum number of iterations (max_iter), and the tolerance (tol).
+3. Fit the model to your training data using the fit method.
+4. Make predictions using the predict method.
+
+## Parameters
+
+- `alpha`: The regularization strength. A positive float value.
+- `l1_ratio`: The ratio of L1 regularization to L2 regularization. Should be between 0 and 1.
+- `max_iter`: The maximum number of iterations to run the optimization algorithm.
+- `tol`: The tolerance for the optimization. If the updates are smaller than this value, the optimization will stop.
+
+## Installation
+
+To use this module, make sure you have the required dependencies installed:
+
+```bash
+pip install numpy
+```
+
+#### Getting Started
+
+To run the Elastic Net Regression module and the tests, use the following commands:
+
+```bash
+python3 ElasticNetRegression.py
+python3 test.py
+```
+#### Output
+
+<img width="447" alt="Screenshot 2024-06-02 at 5 23 15 PM" src="https://github.com/KamakshiOjha/AI-Code/assets/114620432/902c498d-8eec-4c51-9f0d-284c8c430386">
+
+
+
+## Coded By 
+
+[Kamakshi Ojha](https://github.com/KamakshiOjha)
+
+### Happy Coding 👦