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Machine Learning Python Course
Unlock the power of data with our Machine Learning Python Course, specifically designed for Business Intelligence pros in Namibia. Get stuck in with data exploration and analysis, master how to prep your data properly, and harness the power of machine learning algorithms like linear regression and decision trees. Learn feature engineering, train your models, and see how good they are, then fine-tune them to get the best results. We'll finish off with deploying your models and writing up proper documentation, so you're ready to use your skills in the real world, boet! Sign up now to take your BI skills to the next level!
- Master model deployment: Save, load and document your models so they can be easily used elsewhere.
- Enhance feature engineering: Create interaction features and get insights from date information.
- Optimise model training: Use train-test splits and check performance using relevant measures.
- Explore data effectively: Analyse data structures and load datasets using Pandas.
- Refine preprocessing skills: Normalize, scale, and encode categorical data efficiently.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock the power of data with our Machine Learning Python Course, specifically designed for Business Intelligence pros in Namibia. Get stuck in with data exploration and analysis, master how to prep your data properly, and harness the power of machine learning algorithms like linear regression and decision trees. Learn feature engineering, train your models, and see how good they are, then fine-tune them to get the best results. We'll finish off with deploying your models and writing up proper documentation, so you're ready to use your skills in the real world, boet! Sign up now to take your BI skills to the next level!
Elevify advantages
Develop skills
- Master model deployment: Save, load and document your models so they can be easily used elsewhere.
- Enhance feature engineering: Create interaction features and get insights from date information.
- Optimise model training: Use train-test splits and check performance using relevant measures.
- Explore data effectively: Analyse data structures and load datasets using Pandas.
- Refine preprocessing skills: Normalize, scale, and encode categorical data efficiently.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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