This repository contains the Data Science toolbox that can be used for Data Visualization, Machine Learning, Deep Learning, Artificial Intelligence and Business Intelligence.
This repository contains jupyter notebook tutorials for programming in data science
Download the repository and run the notebooks using either of the following:
Jupyter notebook == 1.0.0
| File | Information |
|---|---|
| 1- Python Syntax.ipynb | Basics of python |
| 2- Object Oriented Python.ipynb | OOP practice |
| 3- Python for Data Science.ipynb | Python exploring Data Science |
| 4- Numpy.ipynb | Numpy tutorial |
| 5- Pandas.ipynb | Pandas in Data Science |
| 6- Plotting_Matplotlib.ipynb | Matplotlib for plotting |
| 7- Plotting_Seaborn.ipynb | Seaborn for pretty plotting |
Contains python files to create datasets for regression, classification and clustering problems
Download the repository and run the notebooks using either of the following:
Python = 3+
Contains jupyter notebooks for machine learning algorithms tested on different datasets
Download the repository and run the notebooks using either of the following:
Python = 3+ Scikit Learn = 0.22.2
Contains python files for machine learning algorithms tested on different datasets
Download the repository and run the notebooks using either of the following:
Python = 3+ Scikit Learn = 0.22.2