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Jupyter Notebook Tutorial / Ipython Notebook Tutorial
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Data Science Full Course For Beginners | Python Data Science Tutorial | Data Science With Python - Jupyter Notebook Tutorial / Ipython Notebook Tutorial

Master Data Science: Your Comprehensive Guide to Python, SQL, Machine Learning & Deep Learning! Explore step-by-step tutorials and projects, from coding fundamentals to advanced algorithms, with codebasics. Unlock your data-driven career today!

4.0 (1)
20 learners

What you'll learn

Understand the fundamentals of data science and its applications
Acquire skills in Python programming and data analysis using libraries like Pandas and NumPy
Develop machine learning models and understand key algorithms such as Linear Regression, Decision Trees, and Neural Networks
Use deep learning frameworks like TensorFlow and Keras to build and deploy neural network models

This course includes

  • 33.3 hours of video
  • Certificate of completion
  • Access on mobile and TV

Summary

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Full Transcript

This tutorial will go over, 1) What is jupyter or ipython notebook? 2) Installation of jupyter notebook 3) Build first notebook using python pandas 4) Cover markdown and embedding video links 5) Plotting chart using matplotlib 6) What is line magic and cell magic and how to use them 7) Export notebook as py and html file Do you want to learn technology from me? Check https://codebasics.io/ for my affordable video courses. Find notebook code here: https://github.com/codebasics/py/tree/master/jupyter Website: https://codebasics.io/ Facebook: https://www.facebook.com/codebasicshub Twitter: https://twitter.com/codebasicshub

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