Machine Learning Tutorial

Learn how to build a neural network and how to train, evaluate and optimize it with TensorFlow

In this tutorial, you'll learn how to use predictive analytics to classify song genres.

In this tutorial, you'll learn about the basics of Hypothesis Testing and its relevance in Machine Learning.

In this tutorial, you will get a glimpse of encoding techniques along with some advanced references that will help you tackle categorical variables.

In this tutorial, you will learn about H2O and have a glimpse of its autoML functionality.

Learn about automated machine learning and how it can be done with auto-keras.

In this tutorial, you will be introduced to the world of Machine Learning (ML) with Python. To understand ML practically, you will be using a well-known machine learning algorithm called K-Nearest Neighbor (KNN) with Python.

This small tutorial is meant to introduce you to the basics of machine learning in R: it will show you how to use R to work with KNN.

Learn to how to create a simple API from a machine learning model in Python using Flask.

In this tutorial, you will gain knowledge on filling null values, preprocessing data, reducing dimensionality using PCA, and split data using K-Fold.

Learn the techniques to deal with an imbalanced dataset.

Learn about the basic statistics required for Data Science and Machine Learning in Python.