Machine Learning r Course
What will I learn?
Unlock di power of Machine Learning wid wi Machine Learning R Course, weh design special fi statistician dem. Dive inna data preprocessing, an' master technique like data splitting, feature scaling, an' encoding categorical variable. Build up yu skill dem inna data handling, exploratory data analysis, an' model fine-tuning. Learn how fi use algorithm like Random Forests an' Linear Regression, an' check out model dem wid cross-validation an' metric like R-squared. Lift up yu expertise wid practical, top-quality content weh tailor fi real-world use.
Apoia's Unique Offerings
Develop skills
Enhance the development of the practical skills listed below
Master data preprocessing: Split, scale, an' encode data quick an' easy.
Clean an' handle data: Load up, check out, an' manage missing value dem inna R.
Conduct EDA: Visualize distribution dem an' spot outlier dem good, good.
Fine-tune model dem: Mek algorithm dem run betta wid hyperparameter tuning.
Evaluate model dem: Use cross-validation an' understand how di model dem a 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'll 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.