Introduction
Applied machine learning: Algorithms
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What you should know
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1. Clustering
K-means
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K evaluation
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Understanding clusters
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Other algorithms
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Challenge: Apply KNN
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Solution: Apply KNN
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2. PCA
PCA
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Structure of components
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Components
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Scatter plot
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Other algorithms
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Challenge: Utilize PCA
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Solution: Utilize PCA
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3. Linear Regression
Linear regression algorithm
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scikit-learn
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Real-world example
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Assumptions
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Challenge: Develop a linear regression model
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Solution: Develop a linear regression model
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4. Logistic Regression
Logistic regression algorithm
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Basic example
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Assumptions
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Challenge: Construct a logistic regression model
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Solution: Construct a logistic regression model
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5. Decision Trees
Decision tree algorithm
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Real-world example
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Random Forest and XGBoost
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Challenge: Design a decision tree model
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Solution: Design a decision tree model
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