Decision Tree Regression Clearly Explained!
Here, I've explained how to solve a regression problem using Decision Trees in great detail. You'll also learn the math behind ...
Markov Chains Clearly Explained! Part - 1
Let's understand Markov chains and its properties with an easy example. I've also discussed the equilibrium state in great detail.
Decision Tree Classification Clearly Explained!
Here, I've explained Decision Trees in great detail. You'll also learn the math behind splitting the nodes. The next video will show ...
Markov Chains: Recurrence, Irreducibility, Classes | Part - 2
Let's understand Markov chains and its properties. In this video, I've discussed recurrent states, reducibility, and communicative ...
Random Forest Algorithm Clearly Explained!
Here, I've explained the Random Forest Algorithm with visualizations. You'll also learn why the random forest is more robust than ...
Standardization vs Normalization Clearly Explained!
Let's understand feature scaling and the differences between standardization and normalization in great detail. #machinelearning ...
Decision Tree Classification in Python (from scratch!)
This video will show you how to code a decision tree classifier from scratch! #machinelearning #datascience #python For more ...
Forward Algorithm Clearly Explained | Hidden Markov Model | Part - 6
So far we have seen Hidden Markov Models. Let's move one step further. Here, I'll explain the Forward Algorithm in such a way ...
Hidden Markov Model Clearly Explained! Part - 5
So far we have discussed Markov Chains. Let's move one step further. Here, I'll explain the Hidden Markov Model with an easy ...
Markov Chains: n-step Transition Matrix | Part - 3
Let's understand Markov chains and its properties. In this video, I've discussed the higher-order transition matrix and how they are ...
Sujan Dutta
@SujanDutta
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