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https://github.com/creativepurus/pwskills-projects
🌟 This repository is related to the projects related to 🤖🧠💻 Artificial Intelligence, Machine Learning and Data Science given by PWSKILLS for the course "DATA SCIENCE MASTERS - IMPACT BATCH 1" 🚀
https://github.com/creativepurus/pwskills-projects
artificial-intelligence artificial-neural-networks creativepuru data-science datascience-machinelearning ineuron ineuron-ai ineuron-assignments ineuronassignment jupyter jupyter-notebook machine-learning powerbi pwskills python python3 pythonproject pythonprojects readme readme-profile
Last synced: about 2 months ago
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🌟 This repository is related to the projects related to 🤖🧠💻 Artificial Intelligence, Machine Learning and Data Science given by PWSKILLS for the course "DATA SCIENCE MASTERS - IMPACT BATCH 1" 🚀
- Host: GitHub
- URL: https://github.com/creativepurus/pwskills-projects
- Owner: creativepurus
- License: cc0-1.0
- Created: 2023-04-20T21:54:02.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2023-06-22T16:57:32.000Z (over 1 year ago)
- Last Synced: 2024-11-27T09:33:07.085Z (2 months ago)
- Topics: artificial-intelligence, artificial-neural-networks, creativepuru, data-science, datascience-machinelearning, ineuron, ineuron-ai, ineuron-assignments, ineuronassignment, jupyter, jupyter-notebook, machine-learning, powerbi, pwskills, python, python3, pythonproject, pythonprojects, readme, readme-profile
- Language: Python
- Homepage: https://github.com/creativepuru/PWSKILLS-Projects
- Size: 45.9 KB
- Stars: 3
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
Awesome Lists containing this project
README
> [](https://github.com/creativepuru "Purushottam Anand 🇮🇳 on GitHub ☕")
[](https://github.com/creativepuru/PWSKILLS-Projects)
[](https://github.com/creativepuru/PWSKILLS-Projects)
# 📚 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
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 !
[](https://openinapp.co/linkedinpuru "Purushottam Anand's LinkedIn Profile")
[](https://openinapp.co/twitterpuru "Purushottam Anand's Twitter Handle")
[](https://openinapp.co/fbpuru "Purushottam Anand's Facebook Profile")
[](https://openinapp.co/instapuru "Purushottam Anand's Instagram Profile")
[](https://openinapp.co/gmailpuru "Gmail - use Desktop / Laptop to open Gmail")
[](https://openinapp.co/githubpuru "Purushottam Anand's GitHub Page")
# 🚀 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](https://github.com/creativepuru/PWSKILLS-Projects) is licensed under the [Creative Commons Zero v1.0 Universal](https://github.com/creativepuru/PWSKILLS-Projects/blob/main/LICENSE.txt) License.
- See [LICENSE](https://github.com/creativepuru/PWSKILLS-Projects/blob/main/LICENSE.txt) for more information.
## 🤝 SUPPORT ME 👉🏻 [](https://www.buymeacoffee.com/creativepuru)
