Intro
Overview
Step 1: Explore the Problem
Step 1: Identify Data
Step 1: Import Data
Step 1: Combine Data
Step 2: Explore Data
Step 2: Visualize Data
Step 2: Cleaning Data
Step 3: Split into Train and Test
Step 3: Feature Scaling
Step 3: Feature Selection
Step 3: Model Selection
Step 3: Analyze the Result
Step 4: Present Findings
Step 4: Visualize Results
Step 4: Credibility Counts
Step 5: Use Insights
Step 5: Measure Impact
Step 5: Main goal
General Advice
Project Description
Project Solution
Step 1a Define Problem
Step 1b Import Libraries
Step 1c Identify Data
Step 1d Import Data
Step 1e Combine Data
Step 2a Explore Data
Step 2b Groupby, counts, Statistics
Step 2c Visualize Data
Step 2d Clean Data
Step 3a Split into Train and Test
Step 3d Model Selection
Step 3e Analyze Result
Step 4ab Present Findings and Visualize Result
Step 4c Credibility Counts
Step 5a Use Insights
Step 5b Measure Impact
Conclusion
Syllabus
Taught by
Learn Python With Rune