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Data Science Profile
Setup Code/Data/Environment
Setup Code & Data with Anaconda
Setup Data 7 Code with Google Colab
Introduction
Who can take this course?
Industry Gaps in Data Science
Our Methodology for teaching Data Science
Level of Classification Course
ML Classification Projects
Course Delivery Method
Iterative Modelling Process
Exploration
Stage 1 - Intuition based Base Model
Stage 1 Plan
Code 1 IF THEN Model
Code2: Base Model with Missing Value Strategy
Code3: Outlier Strategy
Project 1 Completion Form
Code 1 to 3 Doubts/Feedback
Project 2 - Cohort Based Execution (Optional)
Project 3 - Going Solo! (Optional)
Stage 1 - Exploration (Optional)
Code1 Exploration
Code2 Exploration
Code3 Exploration
Stage 2 - Improved Pipeline with Tree Based Models
Stage 2 Plan
Code 4: Transformation Strategy
Code 5: Combine Strategies
Code 6: Decision Tree Pipeline
Stage 2 Exploration (Optional)
Code4 Exploration
Code5 Exploration
Code6 Exploration
Stage 2 Exploration Completion
Stage 3 - Improving Score
Week 3 Plan
Code 7: Decision Tree Hyperparameter Optimization
Code 8: Random Forest with Hyperparameter Optimization
Code 9: Feature Engineering
Stage 3 Exploration (Optional)
Code7 Exploration
Code8 Exploration
Code9 Exploration
Stage 3 Exploration Completion
Stage 4: Gearing towards Project Completion
Feature Importance Variations
One Hot Encoding without Pipeline
Ordinal Encoding without Pipeline
Ordinal Encoding with Pipeline
One Hot Encoding with Pipeline
Ordinal Encoding with Grid Search Pipeline
Stage 5: Present Outcomes : One Liner
Presenting Outcomes
Google X Y Z Formula
Google X Y Z Formula Example
Writing Business Outcome
Writing Model Outcome
Using One Liners in Resume
Stage 6: Present Outcomes: One Pager
What is a One Pager?
Business Objective & Solution
Approach
Who & Where
Outcomes
Adding Visual Elements
Stage 7: Completion
Congratulations
What next?