Python With Machine Learning Course
What will I learn?
Unlock the power of Python and machine learning with our comprehensive course tailored for technology professionals. Dive into feature engineering, mastering scaling, normalization, and handling categorical variables. Enhance your skills with model optimization techniques like random search and hyperparameter tuning. Explore data sources from UCI and Kaggle, and gain proficiency in algorithms such as random forests and decision trees. Elevate your expertise with practical, high-quality training designed for real-world application.
Apoia's Unique Features
Develop skills
Strengthen the development of the practical skills listed below
Master feature engineering: Scale, normalize, and create time-based features.
Optimize models: Learn hyperparameter tuning and grid search techniques.
Source data effectively: Utilize UCI and Kaggle for relevant datasets.
Implement algorithms: Explore Random Forests, Decision Trees, and Linear Regression.
Evaluate models: Use MAE, RMSE, and data splitting for performance analysis.
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.