Free course
US$0.00
Premium course
US$30.90
Machine Learning Course
Fungua uwezo wa machine learning na kozi yetu kamili iliyoundwa kwa ajili ya wataalamu wa teknolojia. Ingia ndani kabisa ya ukusanyaji na uchunguzi wa data kwa kutumia Pandas na NumPy, jifunze mbinu za ugawaji wa dataset, na tathmini mifumo kwa usahihi. Jifunze mbinu muhimu za kuandaa data, chunguza uchaguzi wa mifumo ya hali ya juu, na upate ufahamu wa mifumo ya regression kama vile Decision Trees na Random Forests. Boresha ujuzi wako na maudhui ya hali ya juu na ya kivitendo ambayo yanakuhakikishia kuwa uko tayari kukabiliana na changamoto za ulimwengu halisi. Jiunge sasa na ubadilishe taaluma yako!
- Jua vizuri ushughulikiaji wa data: Pakia, chunguza, na chagua dataset ukitumia Pandas na NumPy.
- Tekeleza ugawaji wa dataset: Tumia cross-validation na mbinu za stratified sampling.
- Tathmini utendaji wa mfumo: Elewa vipimo vya MAE, MSE, na R-squared.
- Andaa data kwa ufanisi: Shughulikia data ambayo haipo na uweke alama kwa variable za makundi.
- Boresha mifumo: Rekebisha hyperparameters na utumie mbinu za pamoja.
from 4 to 360h flexible workload
certificate recognized by the MEC
What will I learn?
Fungua uwezo wa machine learning na kozi yetu kamili iliyoundwa kwa ajili ya wataalamu wa teknolojia. Ingia ndani kabisa ya ukusanyaji na uchunguzi wa data kwa kutumia Pandas na NumPy, jifunze mbinu za ugawaji wa dataset, na tathmini mifumo kwa usahihi. Jifunze mbinu muhimu za kuandaa data, chunguza uchaguzi wa mifumo ya hali ya juu, na upate ufahamu wa mifumo ya regression kama vile Decision Trees na Random Forests. Boresha ujuzi wako na maudhui ya hali ya juu na ya kivitendo ambayo yanakuhakikishia kuwa uko tayari kukabiliana na changamoto za ulimwengu halisi. Jiunge sasa na ubadilishe taaluma yako!
Elevify advantages
Develop skills
- Jua vizuri ushughulikiaji wa data: Pakia, chunguza, na chagua dataset ukitumia Pandas na NumPy.
- Tekeleza ugawaji wa dataset: Tumia cross-validation na mbinu za stratified sampling.
- Tathmini utendaji wa mfumo: Elewa vipimo vya MAE, MSE, na R-squared.
- Andaa data kwa ufanisi: Shughulikia data ambayo haipo na uweke alama kwa variable za makundi.
- Boresha mifumo: Rekebisha hyperparameters na utumie mbinu za pamoja.
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?
PDF Course