Machine Learning r Course
What will I learn?
Vhurai simba re machine learning ne Machine Learning R Course yedu yakadzama, yakagadzirirwa nyanzvi dze statistics chaidzo. Tsvagai mukugadzirira data, muchinzwisisa maitiro akadai sekupatsanura data, kukwidza chiyero chezvinhu, nekunyora zvinhu zviri mumapoka. Simudzirai hunyanzvi hwenyu mukubata data, kuongorora data, nekugadzirisa modhi. Dzidzai kushandisa algorithms dzakadai se Random Forests ne Linear Regression, moyoongorora modhi muchishandisa cross-validation nemetris dzinonzi R-squared. Simudzirai hunyanzvi hwenyu nezvinhu zvinoshanda, zvemhando yepamusoro zvakagadzirirwa mashandisiro chaiwo.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Batsirai pakugadzirira data: Patsanurai, simudzai chiyero, nekunyora data zvakanaka.
Chenesai nekubata data: Rodhai, ongororai, nekugadzirisa kukosha kusipo mu R.
Itai EDA: Ratidzai magoverwo nekutsvaga zvinhu zvisiri izvo zvakanaka.
Gadzirisai modhi: Shandisai algorithms zvakanaka nekugadzirisa hyperparameter.
Ongororai modhi: Shandisai cross-validation moyonzwisisa zviyero zve mashandiro.
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.