In this tutorial, we explain the basics of voting classifiers and explain how to implement them in the Scikit-learn machine-learning library. The YouTube video accompanying …
In this tutorial, we provide a hands-on introduction to multi-class classification in Scikit-learn and Python. We mainly focus on the implementation and very briefly explain …
In this control engineering tutorial, we The YouTube video accompanying this post is given below. Summary of the Ziegler-Nichols PID Control Tuning Method (Second Method) …
In this control engineering tutorial, we explain how to design a state feedback control law such that the poles of the closed-loop system are placed …
In this control theory and control engineering tutorial, we provide an easy-to-understand explanation of the controllable canonical form. The controllable canonical form is also known …
In this control engineering tutorial, we explain the zero placement approach for designing two degrees of freedom Proportional Integral Derivative (PID) controllers. Two degrees of …
In this reinforcement learning tutorial, we explain how to implement the Deep Q Network (DQN) algorithm in Python from scratch by using the OpenAI Gym …
In this reinforcement learning tutorial, we explain the main ideas of the Q-Learning algorithm, and we explain how to implement this algorithm in Python. To …
In this tutorial, we introduce the Cart Pole control environment in OpenAI Gym or in Gymnasium. This Python reinforcement learning environment is important since it …
In this reinforcement learning tutorial, we explain how to implement the on-policy SARSA temporal difference learning algorithm in Python. The YouTube video accompanying this post …
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