ML-AI-Python-Codes

About the Project

This repository contains a collection of Python programs covering various domains such as Machine Learning, Natural Language Processing (NLP), Cryptography, Blockchain, Image Processing, and Data Science. It includes implementations of key algorithms, AI models, trading strategies, and database integrations.

Features

• Machine Learning & AI: Face recognition, speech recognition, and neural network applications.
• Natural Language Processing (NLP): Implementations using Spacy and NLTK.
• Cryptography & Blockchain: Bitcoin mining and cryptographic solutions.
• Data Science & Analytics: Stock market analysis, data extraction, and processing.
• Web Development & APIs: Flask API development and database connections.
• Sorting & Algorithms: Various sorting techniques and the Levenshtein Distance algorithm.

Files and Notebooks

File Name	Description
All sorting techniques.ipynb	Implementation of various sorting algorithms
Bitcoin mining Cryptography Blockchain.ipynb	Cryptography and Bitcoin mining concepts
Black hole number 4 - Cosmic number solution.ipynb	Solution for the Black Hole Number 4 problem
Connect mysql to python.ipynb	Connecting MySQL database with Python
Data extraction Python libraries.ipynb	Data extraction methods using Python
Distance calculation between two Geographic location locations.ipynb	Geographic distance calculation using Python
Django Noes.ipynb	Notes and filter changes in Django
Download Hisorical data of stocks.ipynb	Download historical stock market data using Zerodha API
Easy OCR convert image to text.ipynb	Extract text from images using Optical Character Recognition (OCR)
Face Recognition Machine Learning.ipynb	Machine Learning algorithms for face recognition
Image Processing.ipynb	Image processing techniques using Python
Levenshtein Distance Algorithm.ipynb	Algorithm for word autocompletion and autocorrection
Mutable immutable concept.ipynb	Explanation of mutable and immutable data types in Python
NLP - Spacy Custom Entity Ruler.ipynb	Custom entity recognition using Spacy NLP library
Quick Python.ipynb	General Python scripts and utilities
Solutions.ipynb	Miscellaneous Python solutions
Speech Recognition Libraries.ipynb	Speech recognition techniques and libraries
Technical Indicator's of Stock market.ipynb	Stock market technical indicators
Zerodha Live Trading.ipynb	Live trading on NSE/BSE using Zerodha API
pandu.ipynb	Repository cleanup and maintenance
simple api on flask.ipynb	Creating a simple API using Flask
titanic_data.csv	Dataset used for pandas testing

Technologies Used

• Python
• Machine Learning (Scikit-Learn, TensorFlow, Keras)
• Natural Language Processing (Spacy, NLTK)
• Flask & API Development
• Cryptography & Blockchain
• Database Integration (MySQL, SQLite)
• Stock Market Analysis (Zerodha API)
• Image Processing (OpenCV, PIL)

Setup Instructions

1. Install required dependencies:

   pip install numpy pandas scikit-learn nltk spacy tensorflow flask mysql-connector-python

2. Clone the repository and navigate to the project folder.
3. Run the required Jupyter Notebook or Python script.

License

This project is open-source and available for learning and research purposes.

Author

Developed to provide a comprehensive collection of ML, AI, and Python-based solutions.

Feel free to explore and contribute! 🚀