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Machine learning with Python fundermentals

3 Units13 Lessons
Unit 1

Supervised Learning

Introduction to Supervised Learning Concepts
Regression Techniques in Supervised Learning
Classification Algorithms for Supervised Models
Real-World Project: Building a Predictive Model for Medical Diagnosis
Unit 2

Unsupervised Learning

Introduction to Unsupervised Learning Principles
Clustering Methods in Unsupervised Learning
Dimensionality Reduction Techniques
Real-World Project: Customer Segmentation Using Unsupervised Methods
Unit 3

Reinforcement Learning

Fundamentals of Reinforcement Learning
Markov Decision Processes in Reinforcement Learning
Q-Learning and Value-Based Methods
Policy Gradient Methods in Reinforcement Learning
Real-World Project: Training an Agent for Autonomous Robot Navigation
Unit 1•Chapter 4

Real-World Project: Building a Predictive Model for Medical Diagnosis

Summary

Instructions request a summary under 250 words, focusing solely on the main topic, excluding sponsors or unrelated details, and avoiding any introductory statements about the summary itself.

Concept Check

0/5

In building a predictive model for medical diagnosis, what technique is crucial for handling imbalanced datasets?

Which evaluation metric is most suitable for a medical diagnostic model with rare diseases?

What is a key challenge when selecting features for a medical predictive model?

In a predictive model for medical diagnosis, how is model overfitting typically addressed?

What ethical consideration is vital when deploying a medical diagnostic predictive model?

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