Welcome to the course!
•Where to get the materials
•Breast Cancer Classification
•Business Challenge
•Updates on Reviews
•Data Visualisation
•Model Training
•Model Evaluation
•Improving the Model
•Conclusion
•Fashion Class Classification
•Model Training Part I
•Model Training Part II
•Model Training Part III
•Model Training Part IV
•Directing Customers to Subscription Through App Behavior Analysis
•Fintech Case Studies Introduction
•Data
•Features Histograms
•Correlation Plot
•Correlation Matrix
•Feature Engineering – Response
•Feature Engineering – Screens
•Data Pre-Processing
•Model Building
•Model Conclusion
•Final Remarks
•Minimizing Churn Rate Through Analysis of Financial Habits
•Data Cleaning
•Pie Chart Distributions
•One-Hot Encoding
•Feature Scaling & Balancing
•K-Fold Cross Validation
•Feature Selection
•Predicting the Likelihood of E-Signing a Loan Based on Financial History
•Data Housekeeping
•Histograms
•Feature Engineering
•Data Preprocessing
•Model Building
•Grid Search
•Credit Card Fraud Detection
•Case Study
•Machine Learning Vocabulary
•Set Up
•Data Visualization
•Deep Learning
•Splitting the Data
•Training
•Metrics
•Confusion Matrix
•Machine Learning Classifiers
•Random Forest
•Decision Trees
•Sampling
•Undersampling
•Smote
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