Whether you're picking a place to eat or something to watch, machine learning helps us make smarter decisions in our daily lives.

Let's now learn more about the Random Forest, which is based on a decision tree (not very robust and more complex) that is now broken down into smaller decision trees, which are not as complex.

Create a boosted tree model to classify stars based on important characteristics.

In this continuation video, explore the recommended order of taking the lessons in this learning program and how they are designed to provide a cohesive learning experience. This video will help you plan your learning effectively and...

In this video, you will learn what other types of machine learning exist and some future topics that we can look forward to learning.
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This clip is from the chapter "Machine Learning Basics" of the series "Data Science...

In this video, we will understand how all machine learning interfaces are the same.
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This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in...

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...

The video explains what decision trees are and how they can be used by businesses to simplify and adjust the decision-making process. It discusses the basic framework of decision-making, the net outcome of making a decision, and the...

Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine...

Explaining the concept of Pruning a Decision Tree

Creating an Intelligent Pac Man game

Where can we apply Decision Trees

Creating an Intelligent Tic Tac Toe game

This video explains random forest - optimization continued.
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This clip is from the chapter "Ensemble Methods – Random Forest" of the series "Practical Data Science Using Python".This section explains classification using...

This video explains the contents of the course.
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This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical learning, sampling, and Bootstrap as...

This video explains unsupervised learning, Principal Components Analysis (PCA), and clustering.
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This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of...

The second part of the tree-based methods explains random forests.
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This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical learning, sampling,...

This video explains the support vector machine called SVM and its introduction.
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This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical...

This video explains a lab session on Support Vector Machines or SVM.
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This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various lab exercises on linear regression,...

This video explains linear regression using an example of predicting fuel efficiency.
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This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various lab exercises on...

This video explains the foundation of the linear regression model, which is the very first approach to supervised learning.
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This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This...

This video explains one of the most basic forms of classification, which is the logistic regression model.
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This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the...

This video explains some basic notations in statistical learning, such as Xij.
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This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical...

This part of the video explains decision tree.
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This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical learning, sampling, and Bootstrap as...