sukeshpabba
Python-For-DataScience-Machine-Learning-Bootcamp-Udemy
Jupyter Notebook

Repository for the course on Udemy - Python for Data Science and Machine Learning Bootcamp , Jose Portilla

Last updated Jun 25, 2026
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README

Python for Data Science and Machine Learning

This is the collection of notebooks from a Course on Python for Data Science and Machine Learning by Jose Portilla on Udemy.

Along with the notebooks from the course, I've also added additional Practice notebooks, Exercise links, Cheatsheets that help you hone your skills :sparkles:.

Environment Setup

All the files in this repository require Jupyter installed on your computer to run them. However, you can use the same code and try it out in any of the IDE's available. The notebooks are created using the Latest version of Python 3 through the Anaconda distribution.

Installing Jupyter Using Anaconda

  • Install Python and Jupyter using Anaconda Distribution, which includes Python, the Jupyter Notebook, and other commonly used packages for scientific computing and data science.
Congratulations, you have installed Jupyter Notebook! To run the notebook, run the following command at the Terminal (Mac/Linux) or Command Prompt (Windows):
jupyter notebook

Installing Jupyter using pip

As an existing or experienced Python user, you may wish to install Jupyter using Python’s package manager, pip, instead of Anaconda.
  • If you have Python 3 installed (which is recommended):
python3 -m pip install --upgrade pip
python3 -m pip install jupyter
  • If you have Python 2 installed:
python -m pip install --upgrade pip
python -m pip install jupyter
Congratulations, you have installed Jupyter Notebook! To run the notebook, run the following command at the Terminal (Mac/Linux) or Command Prompt (Windows):
jupyter notebook

Python Crash Course

Basic Python Skills

Practice Links:

  • Practice Python : https://www.hackerrank.com/domains/python/py-introduction
  • Simplilearn : https://www.simplilearn.com/data-science-python-exam-free-practice-test

Data Analysis

Numpy

Practice Links:

  • Hackerrank : https://www.hackerrank.com/domains/python/numpy
  • Numpy 100 : https://github.com/rougier/numpy-100/blob/master/100%20Numpy%20exercises.ipynb

Pandas

Practice Links:

  • MachineLearningPlus : https://www.machinelearningplus.com/python/101-pandas-exercises-python/
  • Exercises from @guipsamora : https://github.com/guipsamora/pandas_exercises

Data Visualization

Matplotlib

Seaborn

Pandas Built-in Data Visualization

Plotly and Cufflinks

Happy Data Hours :chartwithupwards_trend:
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