My notebook of python

Here I'll be uploading almost all the knowledge I am learning from python.

How can I read your notebook?

1. You have to install Jupyter Notebook (I recommend installing first the Anaconda Distribution which contains it)
2. Next, you have to open "Anaconda Navigator" and then launch "Jupyter Notebook". This will open a tab on your browser on localhost.
3. Finally, you have to download my repository as a Zip and open the files with the extension ".ipynb" with Jupyter Notebook.

What order should I follow to get into Data Science or Machine Learning?

I recommend you the following:

1. Start with the basics of python: /Basics
2. Continue with Numpy to learn how to operate with matrices: /Numpy
3. Finally, learn Pandas to operate with tables: /Pandas

Tensorflow:

(1) Build and train neural network models using TensorFlow 2.x (Fundaments)

• Part 1 of the TensorFlow in Practice Specialization
• Chapters 10, 11, 12, 13 of the Hands-on Machine Learning Book (2nd edition)
• MIT Intro to Deep Learning Lecture 1

(2) Image classification (CNN)

• Part 2 of the TensorFlow in Practice Specialization
• Chapter 14 of the Hands-on Machine Learning Book (2nd edition)
• MIT Intro to Deep Learning Lecture 3

(3) Natural language processing (NLP)

• Part 3 of the TensorFlow in Practice Specialization
• Chapter 16 of the Hands-on Machine Learning Book (2nd edition)
• MIT Intro to Deep Learning Lecture 2

(4) Time series, sequences and predictions (Best-Practices)

• Part 4 of the TensorFlow in Practice Specialization
• Chapter 15 of the Hands-on Machine Learning Book (2nd edition)
• MIT Intro to Deep Learning Lecture 2

Resources

TensorFlow Developer Professional Certificate (Coursera)

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (Book)

MIT Intro to Deep Learning