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| Item Details | Price | ||
|---|---|---|---|
Master the most widely used Machine Learning technique
29 learners enrolled
Language: English
Instructors: Kunaal Naik
Why this course?
| Data Science Profile | |||
| Setup Code/Data/Environment | |||
| Setup Code & Data with Anaconda (5:00) | |||
| Setup Data 7 Code with Google Colab (7:00) | |||
| Introduction | |||
| Who can take this course? (2:00) | Preview | ||
| Industry Gaps in Data Science (9:00) | Preview | ||
| Our Methodology for teaching Data Science (10:00) | |||
| Level of Classification Course (3:00) | |||
| ML Classification Projects (4:00) | |||
| Course Delivery Method (11:00) | |||
| Iterative Modelling Process | |||
| Exploration (2:00) | |||
| Stage 1 - Intuition based Base Model | |||
| Stage 1 Plan (5:00) | Preview | ||
| Code 1 IF THEN Model (40:00) | |||
| Code2: Base Model with Missing Value Strategy (27:00) | |||
| Code3: Outlier Strategy (21:00) | |||
| 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 (3:00) | |||
| Code2 Exploration (3:00) | |||
| Code3 Exploration (3:00) | |||
| Stage 2 - Improved Pipeline with Tree Based Models | |||
| Stage 2 Plan (5:00) | |||
| Code 4: Transformation Strategy (13:00) | |||
| Code 5: Combine Strategies (16:00) | |||
| Code 6: Decision Tree Pipeline (18:00) | |||
| Stage 2 Exploration (Optional) | |||
| Code4 Exploration (3:00) | |||
| Code5 Exploration (3:00) | |||
| Code6 Exploration (3:00) | |||
| Stage 2 Exploration Completion | |||
| Stage 3 - Improving Score | |||
| Week 3 Plan (5:00) | |||
| Code 7: Decision Tree Hyperparameter Optimization (28:00) | |||
| Code 8: Random Forest with Hyperparameter Optimization (25:00) | |||
| Code 9: Feature Engineering (25:00) | |||
| Stage 3 Exploration (Optional) | |||
| Code7 Exploration (3:00) | |||
| Code8 Exploration (3:00) | |||
| Code9 Exploration (3:00) | |||
| Stage 3 Exploration Completion | |||
| Stage 4: Gearing towards Project Completion | |||
| Feature Importance Variations (2:00) | |||
| One Hot Encoding without Pipeline (7:00) | |||
| Ordinal Encoding without Pipeline (5:00) | |||
| Ordinal Encoding with Pipeline (8:00) | |||
| One Hot Encoding with Pipeline (9:00) | |||
| Ordinal Encoding with Grid Search Pipeline (4:00) | |||
| Stage 5: Present Outcomes : One Liner | |||
| Presenting Outcomes (4:00) | Preview | ||
| Google X Y Z Formula (2:00) | |||
| Google X Y Z Formula Example (3:00) | |||
| Writing Business Outcome (6:00) | |||
| Writing Model Outcome (4:00) | |||
| Using One Liners in Resume (4:00) | |||
| Stage 6: Present Outcomes: One Pager | |||
| What is a One Pager? (2:00) | Preview | ||
| Business Objective & Solution (3:00) | |||
| Approach (4:00) | |||
| Who & Where (4:00) | |||
| Outcomes (2:00) | |||
| Adding Visual Elements (5:00) | |||
| Stage 7: Completion | |||
| Congratulations | |||
| What next? | |||
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