This video will give you an overview about the course.

From the section: Simple Classification Tree. This section we will expand our knowledge of regression Decision tree to classification trees, we will also learn how to create a classification tree in Python.



Simple...

From the section: Regression Task Airbnb Prices in New York. We will use a real-world Airbnb dataset that contains data about New York properties for rent in 2019 on Airbnb, including their price. It is a simple dataset and makes a...

From the section: Introduction to Artificial Neural Networks (ANN). This section introduces Artificial Neural Networks. You will learn about Neural Network for Binary Classifications, Neural Network with PCA for Binary...

From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold...

From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold...

From the section: An Introduction to Machine Learning. In this section, we are introduced to Machine Learning. We learn about its types and applications. There will an explanation on AI versus ML. An Introduction to Machine Learning:...

In this video, we will use python to write a simple ensemble learning model for Regression. • We will use Jupyter Notebook to execute our code • Use of Height vs weight to demonstrate the ensemble technique • Use different models instead...

TF-IDF measures how important a word is in a document or in a collection of documents. It is used extensively in informational retrieval and reflects the weight of the word in the document, frequency and the inverse document frequency. •...

From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold...

From the section: Simple Classification Tree. This section we will expand our knowledge of regression Decision tree to classification trees, we will also learn how to create a classification tree in Python.



Simple...

From the section: Introduction to Artificial Neural Networks (ANN). This section introduces Artificial Neural Networks. You will learn about Neural Network for Binary Classifications, Neural Network with PCA for Binary...

From the section: Predicting Sales with Supervised Learning. In this section, learners will use their first machine learning techniques, including Support Vector Machines and Artificial Neural Networks. These techniques will be...

From the section: Basics. In this section, we look into comments, variables and its types, list, tuples, dictionary, various operators, and loops in details.



Logical operators are typically used with Boolean (logical) values....

From the section: Introduction to Python. In this section we look at Python's fundamental, built-in data structures, and discuss how and when to use them.



This video will walk you an overview about t
he Python.
• Go...

From the section: Regression. In this section, you are going to learn about Regression.<b<br/>r/>

Regression: Evaluate Model Performance

From the section: Introduction. In this section, the learner will be introduced to the environment and working of Keras and how to set it up to go coding. A very brief introduction along with an illustration will be given to deep...

From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold...

From the section: Getting Started with Artificial Intelligence with Python. In this section, learners are introduced to Artificial Intelligence and the libraries they will be using for the rest of the course, including NumPy, matplotlib,...

A computer algorithm predicts ad popularity, China embraces blockchain technology and AI chat-bots offer top-notch customer care. Plus, Anthony and Michael speak with a media startup turning to technology to solve the journalism...