Crash Course Machine Learning
What will I learn?
Bula maatla a machine learning ka Thutego ya Potlako e e rulaganyeditsweng bomaitseanape ba Business Intelligence. Ithute ka go baakanya data, itsenye mo metheong ya machine learning, mme o sekaseke go tlhopha le go thapisa model. Tokafatsa bokgoni jwa gago ka exploratory data analysis le feature engineering. Dirisa kitso ya gago mo ditirisong tsa business intelligence tsa mmatota jaaka go tokafatsa maano a papatso le go bontsha bokamoso jwa thekiso. Thutego e e khutshwane e e maêmô a kwa godimo e go fa didirisiwa tse di mosola go gaisana mo tirong ya gago.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Ithute go baakanya data: Fetola, tlwaelanya, mme o samagane le data e e tlhokegang ka boitsenape.
Diragatsa machine learning: Dirisa di-algorithm le go sekaseka di-regression model ka botlalo.
Tokafatsa go tlhopha model: Tlhopha le go rulaganya di-model gore di dire ka botlalo.
Dira exploratory analysis: Baya data ka setshwantsho mme o lemoge mekgwa ya go bona lesedi.
Tokafatsa maano a kgwebo: Baya bokamoso jwa thekiso le go tokafatsa papatso le disathoko.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify 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.