Informational Powerpoint

Neural Networks Part 1

Explore how to build a multilayer perceptron neural network from scratch.

PCA the Easy Way & Optimizers

Learn how to do PCA using scikit-learn and how optimizers work.

PCA

Learn about dimensionality reduction and principal component analysis.

KNN

Learn about data standardization, splitting datasets, and the K-nearest neighbors algorithm.

Regressions with scikit-learn

Learn how to do regressions and random forests using the scikit-learn machine learning library.

Regression

Take the first step into understanding machine learning - explore linear and polynomial regression.

Python & Math Basics

Learn the fundamental Python programming and math topics you need to get started with machine learning.