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Machine Learning r Course
Unlock the power of Machine Learning with our in-depth Machine Learning R Course, designed especially for statistics professionals here in Zambia. Dig deep into preparing data, mastering methods like ku-split data, ku-scale features, and ku-encode categorical variables. Improve your abilities in handling data, exploratory data analysis, and ku-fine-tune ama model. Learn to use algorithms such as Random Forests and Linear Regression, and ku-evaluate ama model using cross-validation and metrics like R-squared. Level up your skills with practical, high-quality lessons made for real-world problems.
- Master ku-prepare data: Ku-split, ku-scale, and ku-encode data properly.
- Clean and handle data: Ku-load, ku-inspect, and ku-manage missing values mu R.
- Conduct EDA: Ku-visualize distributions and ku-detect outliers bwino bwino.
- Fine-tune ama model: Ku-optimize algorithms with hyperparameter tuning.
- Evaluate ama model: Use cross-validation and ku-interpret performance metrics.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock the power of Machine Learning with our in-depth Machine Learning R Course, designed especially for statistics professionals here in Zambia. Dig deep into preparing data, mastering methods like ku-split data, ku-scale features, and ku-encode categorical variables. Improve your abilities in handling data, exploratory data analysis, and ku-fine-tune ama model. Learn to use algorithms such as Random Forests and Linear Regression, and ku-evaluate ama model using cross-validation and metrics like R-squared. Level up your skills with practical, high-quality lessons made for real-world problems.
Elevify advantages
Develop skills
- Master ku-prepare data: Ku-split, ku-scale, and ku-encode data properly.
- Clean and handle data: Ku-load, ku-inspect, and ku-manage missing values mu R.
- Conduct EDA: Ku-visualize distributions and ku-detect outliers bwino bwino.
- Fine-tune ama model: Ku-optimize algorithms with hyperparameter tuning.
- Evaluate ama model: Use cross-validation and ku-interpret performance metrics.
Suggested summary
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