Machine Learning Course With Python
What will I learn?
Open di power of machine learning wit wi Machine Learning Course wit Python, weh dem design for technology people weh dem eager for improve dem skills. Tek dive inside model selection and how for put am inside wok, master decision trees, random forests, and linear regression. Get proper know-how for how for train model, how for check am, and how for mek am betta using scikit-learn, while you understand important error metrics dem like MAE and RMSE. Explore how for lukku data, clean am, and fix di features dem, so dat you get strong, fine model. Join now so dat you go push your career up wit practical learning weh go mek big difference.
Apoia's Unique Features
Develop skills
Enhance the development of the practical skills listed below
Master Decision Trees: Know how for put decision trees inside wok and mek dem betta for make prediction model.
Linear Regression Skills: Build and fix linear regression models wit Python.
Data Cleaning Expertise: Clean and prepare dataset dem using Pandas so dat you fit do analysis.
Hyperparameter Tuning: Mek model do betta wok wit fine tuning techniques.
Effective Reporting: Write and talk bout data science wok wit clear mouth.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can adjust the chapters and the workload.
- Choose which chapter to begin with
- Add or remove chapters
- Adjust 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 growth. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.