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Machine Learning r Course
Unlock the power of Machine Learning with our complete Machine Learning R Course, weh we design especially for people weh sabi statistics. Tek dive inside data preprocessing, and sabi well-well how to split data, scale features, and change categorical variables. Improve your skills for how to handle data, explore data to see how e be, and fine-tune model dem. Learn how to use algorithms like Random Forests and Linear Regression, and check how good the model dem be by using cross-validation and things like R-squared. Make your sabi level high with correct lessons weh go help you for real work.
- Master data preprocessing: Split, scale, and encode data smartly-smartly.
- Clean and handle data: Load data, check am, and manage data weh loss for inside R.
- Conduct EDA: See how the data dem spread and find anytin weh no dey correct.
- Fine-tune models: Make the algorithms dem work fine by adjusting the settings.
- Evaluate models: Use cross-validation and understand how the model dem dey perform.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock the power of Machine Learning with our complete Machine Learning R Course, weh we design especially for people weh sabi statistics. Tek dive inside data preprocessing, and sabi well-well how to split data, scale features, and change categorical variables. Improve your skills for how to handle data, explore data to see how e be, and fine-tune model dem. Learn how to use algorithms like Random Forests and Linear Regression, and check how good the model dem be by using cross-validation and things like R-squared. Make your sabi level high with correct lessons weh go help you for real work.
Elevify advantages
Develop skills
- Master data preprocessing: Split, scale, and encode data smartly-smartly.
- Clean and handle data: Load data, check am, and manage data weh loss for inside R.
- Conduct EDA: See how the data dem spread and find anytin weh no dey correct.
- Fine-tune models: Make the algorithms dem work fine by adjusting the settings.
- Evaluate models: Use cross-validation and understand how the model dem dey perform.
Suggested summary
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