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Serrano.Academy
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About
Speaking
Contact
Home
Learning Hub
About
Speaking
Contact
Progress
Supervised ML
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Chapter 1 - Linear Models
5 Lessons
Linear Regression
Labs - Linear Regression
Logistic Regression and Perceptrons
Labs - Logistic Regression
Support Vector Machines
Chapter 2 - Probabilistic Models
4 Lessons
Bayes Theorem and the Naive Bayes Algorithm
Lab - Naive Bayes
Hidden Markov Models
Lab - Hidden Markov Models
Chapter 3 - Ensemble Methods
4 Lessons
Decision Trees
Labs - Decision Trees
AdaBoost
Labs - Ensemble Methods
Chapter 4 - Neural Networks
4 Lessons
Neural Networks
Labs - Neural Networks
Convolutional Neural Networks
Recurrent Neural Networks
Chapter 5 - Evaluating and Improving Models
2 Lessons
Model Evaluation, testing, validation, and error metrics
Gini Index
Project: Putting it all together
1 Lesson
The Titanic Dataset
Supervised ML
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Chapter 2 - Probabilistic Models

Hidden Markov Models

Complete & Continue Next Lesson Learn More

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Supervised Learning

Unsupervised Learning

Deep Learning

Large Language Models

Reinforcement Learning for LLMs

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