Merge pull request #96 from UofT-DSI/Edits

Updating ASC for Cohort 4.

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.