Python With Machine Learning Course
What will I learn?
Unlock the full power of Python and Machine Learning with our well-detailed course wey tailor-make am for tech professionals like you. Dive deep into feature engineering; sabi how to scale data, normalize am, and handle categorical variables like a pro. Sharpen your skills with correct model optimization techniques like random search and hyperparameter tuning wey go burst your brain. Explore data wey dey come from UCI and Kaggle, and become correct guru for algorithms like Random Forests and Decision Trees. Raise your game with practical, high-quality training wey dem design so you fit use am for real life projects sharp sharp.
Apoia's Unique Features
Develop skills
Enhance your practical skills as listed below
Master feature engineering: Learn how to scale data, normalize am, and create time-based features wey go make sense.
Optimize models: Sabi hyperparameter tuning and grid search techniques like the back of your hand.
Source data effectively: Use UCI and Kaggle to find the correct datasets wey you need.
Implement algorithms: Explore Random Forests, Decision Trees, and Linear Regression and become correct master.
Evaluate models: Use MAE, RMSE, and data splitting to check how your model dey perform.
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.