Free course
US$0.00
Premium course
US$30.90
Python For Machine Learning Course
Fungua uwezo wa Python kwa machine learning na course yetu kamili iliyoundwa kwa ajili ya wataalamu wa teknolojia. Ingia ndani kabisa kwenye regression algorithms kama vile Random Forests na Decision Trees, elewa kikamilifu vipimo vya model evaluation kama vile RMSE na MAE, na chunguza data preprocessing techniques ikiwa ni pamoja na feature scaling na encoding. Ongeza ujuzi wako na feature selection methods, project documentation, na Python libraries kama vile NumPy na Pandas. Boresha models na hyperparameter tuning na ensemble methods. Jiunge sasa ili kuinua utaalamu wako katika machine learning.
- Elewa regression kikamilifu: Tumia Random Forests, Decision Trees, na Linear Regression.
- Tathmini models: Tumia RMSE, MAE, na cross-validation kwa vipimo vya performance.
- Tayarisha data: Fanya scaling ya features, shughulikia data iliyopotea, na encode categorical variables.
- Boresha models: Tumia hyperparameter tuning, ensemble methods, na search strategies.
- Changanua data: Tumia NumPy, Pandas, Matplotlib, na Seaborn kwa data insights.
from 4 to 360h flexible workload
certificate recognized by the MEC
What will I learn?
Fungua uwezo wa Python kwa machine learning na course yetu kamili iliyoundwa kwa ajili ya wataalamu wa teknolojia. Ingia ndani kabisa kwenye regression algorithms kama vile Random Forests na Decision Trees, elewa kikamilifu vipimo vya model evaluation kama vile RMSE na MAE, na chunguza data preprocessing techniques ikiwa ni pamoja na feature scaling na encoding. Ongeza ujuzi wako na feature selection methods, project documentation, na Python libraries kama vile NumPy na Pandas. Boresha models na hyperparameter tuning na ensemble methods. Jiunge sasa ili kuinua utaalamu wako katika machine learning.
Elevify advantages
Develop skills
- Elewa regression kikamilifu: Tumia Random Forests, Decision Trees, na Linear Regression.
- Tathmini models: Tumia RMSE, MAE, na cross-validation kwa vipimo vya performance.
- Tayarisha data: Fanya scaling ya features, shughulikia data iliyopotea, na encode categorical variables.
- Boresha models: Tumia hyperparameter tuning, ensemble methods, na search strategies.
- Changanua data: Tumia NumPy, Pandas, Matplotlib, na Seaborn kwa data insights.
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