This week we’re exploring a field of engineering that is essential to how you’re watching this video: computers and computer engineering. We’ll explain differences between hardware and software, how engineers are working on making...

Here, we will understand the career options for the freshly graduated or yet to graduate student interested in this field.

This video provides a basic overview of the key components inside a computer, such as the motherboard, CPU, RAM, hard drive, and power supply unit. It explains their functions and how they work together to make a computer operate. The...

An analysis of the 2024 StackOverflow survey results where only 20% of programmers reported being happy at their software engineering jobs. Let's look at 6 reasons why professional developers become unhappy at work. Topics Covered:...

From the section: Supervised Learning: Classification. In this section, the author talks about kNN- Classification, Naive Bayes Classification, SVM- Linear and Non-Linear Classification and also Gradient Boosting Machine...

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: 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...

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: 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: 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...

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: 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:...

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: 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: 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....