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Updating ASC for Cohort 4. #96

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37 changes: 37 additions & 0 deletions 01_materials/README.md
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# Slide Deck Overview

This folder contains a series of slide decks that introduce and apply core statistical concepts. The slides are organized to progress from foundational principles to more advanced topics.

---

## Slide Decks

### 1. **Classification 1**
- **Description**: Introduces the fundamentals of classification, focusing on methods for categorizing data into distinct classes.
- **Key Topics**: Overview of classification, KNN classification.

### 2. **Classification 2**
- **Description**: Builds on Classification 1, introducing advanced techniques like model evaluation and cross-validation.
- **Key Topics**: KNN classification, cross-validation.

### 3. **Regression 1**
- **Description**: Covers the basics of regression analysis and how to model relationships between variables.
- **Key Topics**: Overview of regression, KNN regression.

### 4. **Regression 2**
- **Description**: Expands on Regression 1 by introducing linear regression models.
- **Key Topics**: Simple linear regression, multiple regression.

### 5. **Clustering**
- **Description**: Discusses methods for grouping similar data points without predefined labels.
- **Key Topics**: K-means clustering.

### 6. **Statistical Inference**
- **Description**: Focuses on drawing conclusions about populations from sample data.
- **Key Topics**: Bootstrapping.

---

## Usage

These slide decks are designed to provide a comprehensive understanding of statistical methods and their applications. They work best when used alongside the corresponding Jupyter notebooks.
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