Machine Learning Python Course
What will I learn?
Vhurai simba rezivo kuburikidza ne Mashine Learning Python Course yedu, yakagadzirirwa nyanzvi dze Business Intelligence. Nyururai mukutsvagisa nekunzwisisa data, gonai maitiro ekugadzirira data, uye shandisai kugona kwe machine learning algorithms sedzinonzi linear regression nema decision trees. Dzidzai feature engineering, kudzidzisa model, nekuongorora, uye gadzirisai models dzenyu ne hyperparameter tuning. Pedzisirai nekutumira model nekunyora magwaro, muchiva nechokwadi chekuti hunyanzvi hwenyu hwagadzirira kushandiswa munyika chaiyo. Joinai ikozvino kuti mukwidziridze hunyanzvi hwenyu hweBI!
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Gonai kutumira model: Sevhai, rodhai, uye nyorai magwaro e models kuti dzibatanidzwe zviri nyore.
Simbisai feature engineering: Gadzirai interaction features uye buritsai nzwisiso dzemazuva.
Gadzirisai kudzidziswa kwemodel: Shandisai train-test splits uye ongororai nemametrics.
Tsvagisai data zvinobudirira: Ongororai data structures uye rodhai datasets muchishandisa Pandas.
Natsiridzai hunyanzvi hwekugadzirira data: Normalize, scale, uye encode categorical data zvinobudirira.
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 will 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.