Machine Learning Course
What will I learn?
Unlock the power of machine learning with our comprehensive course designed for technology professionals. Dive into data collection and exploration using Pandas and NumPy, master dataset splitting strategies, and evaluate models with precision. Learn essential preprocessing techniques, explore advanced model selection, and gain insights into regression models like Decision Trees and Random Forests. Enhance your skills with practical, high-quality content that ensures you're ready to tackle real-world challenges. Join now and transform your career!
Apoia's Differentials
Develop skills
Strengthen the development of the practical skills listed below
Master data handling: Load, inspect, and select datasets with Pandas and NumPy.
Implement dataset splitting: Apply cross-validation and stratified sampling techniques.
Evaluate model performance: Understand MAE, MSE, and R-squared metrics.
Preprocess data effectively: Handle missing values and encode categorical variables.
Optimize models: Tune hyperparameters and utilize ensemble methods.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can change the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.