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# How to use C code in Python

## … and should we do this? Background image by Johnson Martin from Pixabay
1. Reusing existing C code from a Python program
2. Speed up your Python program
3. Do some low-level stuff that cannot be done directly in Python

# How to prettify your code in a Jupyter Notebook

## Use the Code Prettify Jupyter Extension Background image by Free-Photos from Pixabay

## Installation

`pip install jupyter_contrib_nbextensions`

# What are GANs?

## A brief introduction to Generative Adversarial Networks Image source: https://meme-creator.com/meme/54/epic-handshake

# How to change the autosave interval in Jupyter Notebooks

## You can use this Jupyter extension Background image by Free-Photos from Pixabay

# How to Implement Logistic Regression with PyTorch

## Understand Logistic Regression and sharpen your PyTorch skills

• We will rewrite the logistic regression equation so that we turn it into a least-squares linear regression problem with different labels and then, we use…

# How to Implement Logistic Regression with TensorFlow

## TL; DR

`model = tf.keras.models.Sequential([    tf.keras.layers.Dense(1, activation='sigmoid')])model.compile(loss='bce')model.fit(x_train, y_train, epochs=100)`

# Are you tired of scrolling down through logs when training an ML model?

## Try this Jupyter extension Background image by Free-Photos from Pixabay

# The best 2 books to learn C & C++

## How I learned more in 3 months rather than 4 years Image by Sasin Tipchai from Pixabay

# How to code Logistic Regression from scratch with NumPy

## Sharpen your NumPy skills while learning Logistic Regression Image by author
• We will rewrite the logistic regression equation so that we turn it into a least-squares linear regression problem with different labels and then, we use the closed-form formula to find the weights:

# Understanding Logistic Regression

## The math of this method explained in detail Image by author 