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Data Science Machine Learning Course
Fungua uwezo wa data na kozi yetu ya Data Science Machine Learning, iliyoundwa kwa ajili ya wataalamu wa Business Intelligence hapa Kenya. Ingia ndani kabisa kwenye feature engineering, ukimaster mikakati ya time-based na domain-specific. Ongeza ujuzi wako kwa data preprocessing, ukishughulikia missing values, na ku-encode categorical variables. Gundua machine learning algorithms kama vile Decision Trees na Gradient Boosting. Jifunze model training, evaluation, na deployment, ukiiziunganisha vizuri katika michakato ya biashara. Imarisha utaalamu wako wa BI kwa maarifa ya vitendo na ya hali ya juu.
- Master feature engineering: Unda features zenye impact, ambazo zinafaa domain husika.
- Deploy models seamlessly: Unganisha kwenye michakato ya biashara kwa ufanisi.
- Evaluate models precisely: Tumia RMSE, MAE, na mbinu za cross-validation.
- Preprocess data effectively: Safisha, encode, na ushughulikie missing values.
- Optimize algorithms: Tune hyperparameters na ulinganishe utendaji wa model.
from 4 to 360h flexible workload
certificate recognized by the MEC
What will I learn?
Fungua uwezo wa data na kozi yetu ya Data Science Machine Learning, iliyoundwa kwa ajili ya wataalamu wa Business Intelligence hapa Kenya. Ingia ndani kabisa kwenye feature engineering, ukimaster mikakati ya time-based na domain-specific. Ongeza ujuzi wako kwa data preprocessing, ukishughulikia missing values, na ku-encode categorical variables. Gundua machine learning algorithms kama vile Decision Trees na Gradient Boosting. Jifunze model training, evaluation, na deployment, ukiiziunganisha vizuri katika michakato ya biashara. Imarisha utaalamu wako wa BI kwa maarifa ya vitendo na ya hali ya juu.
Elevify advantages
Develop skills
- Master feature engineering: Unda features zenye impact, ambazo zinafaa domain husika.
- Deploy models seamlessly: Unganisha kwenye michakato ya biashara kwa ufanisi.
- Evaluate models precisely: Tumia RMSE, MAE, na mbinu za cross-validation.
- Preprocess data effectively: Safisha, encode, na ushughulikie missing values.
- Optimize algorithms: Tune hyperparameters na ulinganishe utendaji wa model.
Suggested summary
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