📚 Table of Contents

• 🔰 ABOUT
• 💻 Projects Covered
• 👨‍💻 Getting Started
• 🔰 Description
• 📣 Feedback and Contributions
• 📲 How to reach me 💻
• 🚀 Let's learn and grow together!
• 📖 License
• 🤝 SUPPORT ME 👉🏻 Buy Me a Coffee ☕
  
  

🔰 ABOUT

🤖🧠💻 Artificial Intelligence, Machine Learning and Data Science Projects 🚀

• Welcome to my repository of resources for Artificial Intelligence, Machine Learning and Data Science !
• This repository contains a collection of codes and projects related to Data Science, AI, and Machine Learning.
• Here, you'll find a collection of code snippets, tutorials, and other helpful resources that I've gathered throughout my journey in these fields.
• In today's world, Data Science has become an integral part of businesses, organizations, and governments as it helps in making informed decisions through the analysis of vast amounts of data.
  
  

💻 Projects Covered

Below are the Projects you'll find in this repository:

🔹 Feb 2023 Python Project :- Web Scrapping

• Web Scrapping introduction
• Integration With Web Portal.
• Integration With Rest Api, Web Portal And Mongo Db
• Deployment On Web Portal On AWS Cloud

🔹 Feb 2023 Python Project : - Image Scrapper

• Image Scrapping Introduction
• Image Scrapping Deployment
• Integration With Rest Api, Web Portal And Mongo Db
• Deployment On Web Portal On Azure Cloud

🔹 May 2023 ML Projects

• 6 May'23 Fault detection in wafers based on sensor data.
• 7 May'23 Cement strength reg.
• 8 May'23 Credit card fraud.
• 9 May'23 Fraud detection
• 10 May'23 Income prediction
• 11 May'23 Phishing classifier
• 12 May'23 Visibility climate

🔹 July 2023 Computer Vision Projects

• 16 July'23 Object Tracking Project
• 17 July'23 Image Classification with SOTA CNNs
• 18 July'23 Image to Text using OCRs
• 19 July'23 Vision based Attendance System
• 20 July'23 Sign Language Detection
• 21 July'23 Shredder Systems

🔹 Aug 2023 NLP Projects

• 6 Aug'23 Movie Review using BERT
• 7 Aug'23 NER using BERT
• 8 Aug'23 POS Tagging with BERT
• 9 Aug'23 Text Generation GPT2
• 10 Aug'23 Question Answering with SQUAD
• 11 Aug'23 Machine Translation with Transformers
• 12 Aug'23 Paraphrasing with BART
• 13 Aug'23 Text2Speech
• 14 Aug'23 Speech2Text
• 15 Aug'23 SpellCorrector

👨‍💻 Getting Started

• To get started, simply clone this repository to your local machine and explore the different sections.
• You can also contribute to this repository by adding your own code snippets, tutorials, and other resources.
• To get started, you'll need to have Python installed on your computer. You can download the latest version of Python from the official website: https://www.python.org/downloads/
• You'll also need to have Jupyter installed. You can install it using pip using below commands :

pip install jupyter

• Once you have Python and Jupyter installed, you can clone this repository:

git clone https://github.com/creativepuru/Python-Basics.git

• Then, navigate to the directory where the repository was cloned and start Jupyter by using below commands :

cd <Python-Basics>
jupyter notebook

• This will open the Jupyter notebook interface in your default web browser. From here, you can navigate to the notebooks directory and open any of the notebooks to view the code examples.
  
  

🔰 Description

• In this section, you'll find resources related to artificial intelligence, including algorithms, techniques, and tools.
• Some of the topics covered include natural language processing, computer vision, and deep learning.

• Here, you'll find resources related to machine learning, including algorithms, frameworks, and libraries.
• Some of the topics covered include regression, classification, clustering, and neural networks.

• In this section, you'll find resources related to data science, including statistical analysis, data mining, and data cleaning.
• Some of the topics covered include hypothesis testing, A/B testing, and exploratory data analysis.

• Here, you'll find resources related to data visualization, including tools and libraries for creating charts, graphs, and other visualizations.
• Some of the topics covered include matplotlib, seaborn, and ggplot2.

• In this section, you'll find Jupyter notebooks that showcase various projects and examples related to data science, AI, and machine learning.
• These notebooks can serve as a starting point for your own projects and experiments.

• The "datasets" directory contains a variety of datasets that I've used in my data science and machine learning projects.
• Feel free to use these datasets for your own projects, and let me know if you find any interesting insights!
  
  

📣 Feedback and Contributions

• I'm always looking for ways to improve my skills and learn from others in the community.
• If you have any suggestions, bug fixes, or contributions, feel free to open a pull request or issue with your changes !

🚀 Let's learn and grow together!

• 🤖 We believe that the future belongs to those who master these skills, and we're excited to be a part of your journey.
• So what are you waiting for? Clone this repository and start exploring the world of Python, Data Science, Machine Learning, and Artificial Intelligence today!
• 👨‍💻 Happy coding! 🎉

❤️ Thank you for visiting my repository, and happy exploring 🤗

📖 License

My PWSKILLS-Projects repository is licensed under the Creative Commons Zero v1.0 Universal License.

• See LICENSE for more information.

🤝 SUPPORT ME 👉🏻