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Serrano.Academy

Serrano.Academy

Progress

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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

Labs - Decision Trees

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

Project: Putting it all together

1 Lesson

The Titanic Dataset

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Add a video

Chapter 2 - Probabilistic Models

Lab - Hidden Markov Models

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In this lab, you’ll code the Viterbi Algorithm for Hidden Markov Models

LEARN

Supervised Learning

Unsupervised Learning

Large Language Models

Reinforcement Learning for LLMs

FOR ORGANIZATIONS

Speaking & Consulting

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RESOURCES

Grokking Machine Learning Book

YouTube Channel

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