Free course
US$0.00
Premium course
US$30.90
Machine Learning r Course
Fungua uwezo wa machine learning kupitia Kozi yetu kamili ya Machine Learning kwa R, iliyoundwa mahususi kwa wataalamu wa takwimu. Ingia ndani kabisa ya uchakataji wa data, ukifahamu mbinu kama vile ugawaji wa data, upimaji wa vipengele (feature scaling), na uwekaji alama wa variable za kimawasiliano (encoding categorical variables). Imarisha ujuzi wako katika kushughulikia data, uchambuzi wa awali wa data (exploratory data analysis), na uboreshaji wa kina wa modeli. Jifunze kutekeleza algoriti kama vile Misitu Nasibu (Random Forests) na Regression ya Linear, na tathmini modeli kwa kutumia cross-validation na vipimo kama vile R-squared. Ongeza utaalamu wako kwa maudhui ya vitendo na ya ubora wa juu yaliyolengwa kwa matumizi halisi.
- Fahamu kikamilifu uchakataji wa data: Gawanya, pima, na uweke alama data kwa ufanisi.
- Safisha na ushughulikie data: Pakia, kagua, na udhibiti thamani ambazo hazipo (missing values) katika R.
- Fanya EDA: Taswira usambazaji na ugundue outliers kwa ufanisi.
- Boresha modeli: Optimize algoriti kwa utumiaji wa hyperparameter tuning.
- Tathmini modeli: Tumia cross-validation na ufsiri vipimo vya utendaji.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Fungua uwezo wa machine learning kupitia Kozi yetu kamili ya Machine Learning kwa R, iliyoundwa mahususi kwa wataalamu wa takwimu. Ingia ndani kabisa ya uchakataji wa data, ukifahamu mbinu kama vile ugawaji wa data, upimaji wa vipengele (feature scaling), na uwekaji alama wa variable za kimawasiliano (encoding categorical variables). Imarisha ujuzi wako katika kushughulikia data, uchambuzi wa awali wa data (exploratory data analysis), na uboreshaji wa kina wa modeli. Jifunze kutekeleza algoriti kama vile Misitu Nasibu (Random Forests) na Regression ya Linear, na tathmini modeli kwa kutumia cross-validation na vipimo kama vile R-squared. Ongeza utaalamu wako kwa maudhui ya vitendo na ya ubora wa juu yaliyolengwa kwa matumizi halisi.
Elevify advantages
Develop skills
- Fahamu kikamilifu uchakataji wa data: Gawanya, pima, na uweke alama data kwa ufanisi.
- Safisha na ushughulikie data: Pakia, kagua, na udhibiti thamani ambazo hazipo (missing values) katika R.
- Fanya EDA: Taswira usambazaji na ugundue outliers kwa ufanisi.
- Boresha modeli: Optimize algoriti kwa utumiaji wa hyperparameter tuning.
- Tathmini modeli: Tumia cross-validation na ufsiri vipimo vya utendaji.
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
FAQs
Who is Elevify? How does it work?
Do the courses have certificates?
Are the courses free?
What is the course workload?
What are the courses like?
How do the courses work?
What is the duration of the courses?
What is the cost or price of the courses?
What is an EAD or online course and how does it work?
Course in PDF