Portfolio Project: Microsoft Malware Detection Project
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Section 1: Overview
- Course Overview
- How to Get Queries Resolved
- Download Resources
- Problem Description
Section 2: Setup new environment
- Python Setup - Local Installation
- Python Setup - Google Colab
Section 3: Understanding the data
- Data Overview
- Optimize Memory Usage
- Understand The Data
- Course Review
Section 4: Preprocess the data
- Data Preprocessing for EDA
- Need for EDA
- Exploratory Data Analysis Part 1
- Exploratory Data Analysis Part 2
- Course Review
Section 6: Statistical Significance Tests
- Chi Squared Test Theory and Maths
- Chi Square Test and Odds Ratio Demo
- ANOVA Concept- Intuition
4 ANOVA maths
- ANOVA Demo
Section 7: Engineer new features and process data
- Feature Engineering - Domain Specific
- Feature Encoding Approaches
- Feature Encoding Demo
- Data Processing for Model Building
- Course Review
Section 8: Evaluation methods for classificatio
- Confusion Matrix and Evaluation Metrics
- Concordance and Discordance
- ROC Curve
- Precision Recall Curve
- Evaluation Metrics Demo
- Capture Rates and Gains
Section 9: Machine Learning Models
- Decision Trees and Improvements
- Random Forests
- XGBoost
- LightGBM
- Course Review
Section 10: Model improvement and interpretation
- Tuning Hyperparameters
- Feature Importance
- Feature Importance Demo
Section 11: Summary
- Final Words