https://github.com/ahammadmejbah/apprenticeship-in-python-for-machine-learning-and-data-science

In recent years, Python's popularity has skyrocketed, making it one of the most sought-after languages for software development. This is because of its user-friendliness, adaptability, and capacity for processing massive volumes of data. Python is highly recommended for use in AI, data science, and machine learning.
https://github.com/ahammadmejbah/apprenticeship-in-python-for-machine-learning-and-data-science

classification clustering data data-science deep-learning dimensionality-reduction machine-learning neural-network pandas python regression reinforcement-learning

Last synced: 10 months ago
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Host: GitHub
URL: https://github.com/ahammadmejbah/apprenticeship-in-python-for-machine-learning-and-data-science
Owner: ahammadmejbah
License: mit
Created: 2023-04-28T20:45:27.000Z (about 3 years ago)
Default Branch: main
Last Pushed: 2023-05-05T10:09:56.000Z (about 3 years ago)
Last Synced: 2024-08-28T20:40:47.581Z (almost 2 years ago)
Topics: classification, clustering, data, data-science, deep-learning, dimensionality-reduction, machine-learning, neural-network, pandas, python, regression, reinforcement-learning
Language: Jupyter Notebook
Homepage: https://ahammedmejbah.com
Size: 960 KB
Stars: 4
Watchers: 3
Forks: 1
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

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README

          


      Apprenticeship-in-Python-for-Machine-Learning-and-Data-Science

     

     

      

     

In recent years, Python's popularity has skyrocketed, making it one of the most sought-after languages for software development. This is because of its user-friendliness, adaptability, and capacity for processing massive volumes of data. Python is highly recommended for use in AI, data science, and machine learning.

# Tech Used

 ![Keras](https://img.shields.io/badge/Keras-%23D00000.svg?style=for-the-badge&logo=Keras&logoColor=white) ![NumPy](https://img.shields.io/badge/numpy-%23013243.svg?style=for-the-badge&logo=numpy&logoColor=white) ![Pandas](https://img.shields.io/badge/pandas-%23150458.svg?style=for-the-badge&logo=pandas&logoColor=white) ![Plotly](https://img.shields.io/badge/Plotly-%233F4F75.svg?style=for-the-badge&logo=plotly&logoColor=white) ![PyTorch](https://img.shields.io/badge/PyTorch-%23EE4C2C.svg?style=for-the-badge&logo=PyTorch&logoColor=white) ![scikit-learn](https://img.shields.io/badge/scikit--learn-%23F7931E.svg?style=for-the-badge&logo=scikit-learn&logoColor=white) ![SciPy](https://img.shields.io/badge/SciPy-%230C55A5.svg?style=for-the-badge&logo=scipy&logoColor=%white) ![TensorFlow](https://img.shields.io/badge/TensorFlow-%23FF6F00.svg?style=for-the-badge&logo=TensorFlow&logoColor=white) ![Anaconda](https://img.shields.io/badge/Anaconda-%2344A833.svg?style=for-the-badge&logo=anaconda&logoColor=white) ![Python](https://img.shields.io/badge/python-3670A0?style=for-the-badge&logo=python&logoColor=ffdd54) ![SQLite](https://img.shields.io/badge/sqlite-%2307405e.svg?style=for-the-badge&logo=sqlite&logoColor=white) ![MySQL](https://img.shields.io/badge/mysql-%2300f.svg?style=for-the-badge&logo=mysql&logoColor=white) ![MongoDB](https://img.shields.io/badge/MongoDB-%234ea94b.svg?style=for-the-badge&logo=mongodb&logoColor=white)

      

   

Content: 

01. A- Introduction

01. B- Environment Set-Up

01. Basics Python

02. Data Science Pathway Overview

03. Machine Learning Pathway Overview

04. Statistics Learning Pathway Overview

05. Regression

06. Classification

07. Clustering

08. Dimensionality Reduction

09. Reinforcement Learning

10. Numpy

11. Pandas

12. Matplotlib

13. Scikit Learn

14. Seaborn

15. Scikit Image

16. Theano

17. TensorFlow

18. Pytorch

19. MaxNet

20. Deep Lerning

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