Week 8: Machine Learning with scikit-learn

ML workflow, preprocessing, classification, regression, pipelines, evaluation

📌 Strategy & Study Guidance

Use Jupyter for experimentation. Transition to .py for production code.

Blocks

Block 71 Monday

ML Workflow & train-test split

Block 72 Monday

Classification: KNN & Logistic Regression

Block 73 Tuesday

Classification: Decision Trees & Random Forests

Block 74 Tuesday

Regression: Linear & Polynomial

Block 75 Wednesday

Preprocessing: Scaling & Encoding

Block 76 Wednesday

Pipelines: Preventing Data Leakage

Block 77 Thursday

Evaluation Metrics (Classification)

Block 78 Thursday

Cross-Validation & Hyperparameter Tuning

Block 79 Friday

Saving & Loading Models

Block 80 Friday

Mini-Project: Complete ML Notebook

📺 20 Curated YouTube Videos

▶ Scikit-learn Full Course freeCodeCamp ▶ ML from Scratch Patrick Loeber ▶ ML Workflow freeCodeCamp ▶ Gentle Intro to ML StatQuest ▶ Classification Regression freeCodeCamp ▶ Decision Trees StatQuest ▶ KNN Python Patrick Loeber ▶ Preprocessing freeCodeCamp ▶ ML NumPy Pandas Imarticus ▶ Pipelines freeCodeCamp ▶ Model Evaluation StatQuest ▶ Cross-Validation freeCodeCamp ▶ Random Forest StatQuest ▶ sklearn Pipelines freeCodeCamp ▶ ML Python Patrick Loeber ▶ Feature Engineering freeCodeCamp ▶ Linear Regression StatQuest ▶ ML Complete freeCodeCamp ▶ Classification Trees StatQuest ▶ Scikit-learn Tutorial freeCodeCamp

📋 Cheat Sheets

Quick Reference

Core syntax and common patterns for this week. Week 8 - ML workflow, preprocessing, classification, regression, pipelines, evaluation

API Cheat Sheet

Key functions and methods. Week 8 - ML workflow, preprocessing, classification, regression, pipelines, evaluation

Best Practices

Style and performance tips. Week 8 - ML workflow, preprocessing, classification, regression, pipelines, evaluation

💻 Code Snippets

Basic Example

# Week 8: Machine Learning with scikit-learn
# Basic pattern for this topic
result = process(data)

Common Pattern

# Week 8: Machine Learning with scikit-learn
# Frequently used pattern

Quick Start

# Week 8: Machine Learning with scikit-learn
# Minimal working example

📊 Visualizations & Diagrams

Concept Diagram

flowchart LR
  A[Input] --> B[Process]
  B --> C[Output]

Paste into mermaid.live to render

Workflow

Step 1 -> Step 2 -> Step 3

Assessment

📝 Week 8 Assessment (Practice + AI Analysis)