Course curriculum

    1. 1. Business Context

    2. Materials

    3. 2.Features Required

    4. 3. Data Architecture Model

    5. 4. Data Source Structure Discovery

    6. 5. Notebook: Import libraries, Data, EDA and visualizations

    7. 6. Random Forest Algorithm

    8. 7. Notebook: Feature engineering, Train, Test Data & Predict New customerData

    9. 8. Notebook: Predict New Customer Data (cont.)

    10. 9. XGBoost Algorithm

    11. 10. Notebook: XGBoost Modelling & Hyperparameter Optimization

    12. 11. Collaborative Filtering Algorithm with Cosine Similarity

    13. 12. Notebook: Item-Based Collaborative Filtering

    14. 13. Notebook: Extend Item-Based Collaborative Filtering

    1. 1. MySQL Installation

    2. 2. Apache Nifi Installation

    3. 3. Anaconda & Python Installation and Configuration

    1. Special Gift For You (Bonus)

About this course

  • $24.00
  • 18 lessons
  • 2 hours of video content

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