Practical Machine Learning by Example in Python

A Deep Dive into Building Machine Learning and Deep Learning models

Created by: Madhu Siddalingaiah
Technology Consultant

What Will I Learn?

• Develop complete machine learning/deep learning solutions in Python
• Write and test Python code interactively using Jupyter notebooks
• Build, train, and test deep learning models using the popular Tensorflow 2 and Keras APIs
• Neural network fundamentals by building models from the ground up using only basic Python
• Manipulate multidimensional data using NumPy
• Load and transform structured data using Pandas
• Build high quality, eye catching visualizations with Matplotlib
• Reduce training time using free Google Colab GPU instances in the cloud
• Recognize images using Convolutional Neural Networks (CNNs)
• Make recommendations using collaborative filtering
• Detect fraud using autoencoders
• Improve model accuracy and eliminate overfitting

Requirements

• Basic software development skills
• Basic high school math, such as trigonometry and algebra

Target audience

• Anyone interesting in developing machine learning and deep learning skills