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Course Outline

1. Introduction to Machine Learning

  • Defining Machine Learning
  • Extending data analysis capabilities
  • Common business applications:
    • Sales forecasting
    • Customer segmentation
    • Churn prediction

2. From Data Analysis to Machine Learning

  • Review: manipulating data with Pandas
  • Transitioning from descriptive to predictive analysis
  • Formulating a Machine Learning problem

3. Machine Learning Workflow (Simplified)

  • Dataset preparation
  • Data splitting (training vs. testing)
  • Model training
  • Generating predictions

4. Data Preparation for Machine Learning

  • Managing missing values
  • Encoding categorical variables
  • Feature selection (basic)
  • Scaling (conceptual overview)

5. Supervised Learning (Hands-on)

Regression

  • Linear Regression
  • Use case: predicting numerical values (e.g., sales, demand)

Classification

  • Logistic Regression
  • Use case: binary outcomes (e.g., churn, fraud)

6. Unsupervised Learning

Clustering

  • K-means clustering
  • Use case: customer segmentation

7. Model Evaluation (Simplified)

  • Comparing training and testing performance
  • Accuracy metrics (for classification)
  • Basic error analysis (for regression)

8. Interpreting Results

  • Understanding model outputs
  • Identifying patterns and trends
  • Converting results into business insights

9. Practical End-to-End Example

  • Loading a dataset
  • Preparing and cleaning data
  • Training a model
  • Evaluating performance
  • Extracting insights

Requirements

Prerequisites

  • Foundational knowledge of Python
  • Familiarity with Pandas and dataset manipulation
  • Understanding of core data analysis concepts

Target Audience

  • Data Analysts
  • Business Analysts with basic Python proficiency
  • Professionals who have completed the Python for Data Analysis course or possess equivalent skills
  • Individuals new to Machine Learning
 14 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 2600 € + VAT*

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