Machine Learning For Business Course
What will I learn?
Bula maatla a data ka Thupelo ya rona ya Machine Learning mo Kgwebong, e e diretsweng bomankge ba Business Intelligence. Ithute go rulaganya data pele, nna setswerere mo go Exploratory Data Analysis, mme o oketse bokgoni jwa gago mo go feature engineering. Ithute go thapisetsa le go sekaseka d মডেল a machine learning, tlhopha di algorithm tse di gaisang go ka dirisiwa go kgaoganya bareki le go bona dipalopalo tsa thekiso, mme o fetole kitso go nna maano a a ka dirisiwang. Ka dikagare tse dikhutshwane mme di na le boleng jo bo kwa godimo, thupelo e e go thusa go tsamaisa ditshwetso tse di ikaegileng ka data le go godisa seabe sa gago mo kgwebong.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Nna setswerere mo ponatshegelong ya data: Dira diponatshegelo tse di nang le seabe sa kitso ya data.
Thapisa d মডেল tsa ML: Tlhabolola le go tokafatsa di algorithm tsa machine learning.
Dira EDA: Sekaseka kabo ya data le mekgwa ya ditirisano.
Dira features: Thalo d features tse di bolelelang pele kitso ya kgwebo.
Tlhopha d মডেল: Tlhopha d মডেল tse di siameng thata go kgaoganya le go bona dipalopalo.
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.