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Applied ai Machine Learning Course
Unlock the potential of AI in business intelligence ka Applied AI Machine Learning Course ya rona. E diretswe batho ba ba dirang, course e, e fana ka modules tse di khutshwane mme di na le boleng jo bo kwa godimo ka go kgobokanya data, go e baakanya, le go feature engineering for time series. Ithute ka botlalo machine learning models jaaka ARIMA le LSTM, mme o ithute go di sekaseka le go di tokafatsa gore di kgone go bona bokamoso ka nepagamo. Godisa bokgoni jwa gago jwa go tlhaloganya maduetso le go dira dikgakololo tse di ikaegileng ka data, fa o ntse o kwala le go bega ka botlalo. Tsholetsa tiro ya gago ka ditsela tse di mosola le tse di ka diragadiwang gompieno.
- Ithute ka botlalo feature engineering: Tlhamela dipopego tse di mosola tse di ikaegileng ka nako gore o sekaseke.
- Tokafatsa go kgobokanya data: Lemoga le go dirisa metswedi ya data e e maleba ka botlalo.
- Toefatsa go baakanya data: Phepafatsa, tlwaelanya le go lekanya data gore e nepagame.
- Diragatsa forecasting models: Dirisa ARIMA le LSTM gore o bone bokamoso ka nepagamo.
- Tlhalosa dintlha tse di botlhokwa: Bontsha ka pono le go bega dikgakololo tsa kgwebo tse di ikaegileng ka data.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock the potential of AI in business intelligence ka Applied AI Machine Learning Course ya rona. E diretswe batho ba ba dirang, course e, e fana ka modules tse di khutshwane mme di na le boleng jo bo kwa godimo ka go kgobokanya data, go e baakanya, le go feature engineering for time series. Ithute ka botlalo machine learning models jaaka ARIMA le LSTM, mme o ithute go di sekaseka le go di tokafatsa gore di kgone go bona bokamoso ka nepagamo. Godisa bokgoni jwa gago jwa go tlhaloganya maduetso le go dira dikgakololo tse di ikaegileng ka data, fa o ntse o kwala le go bega ka botlalo. Tsholetsa tiro ya gago ka ditsela tse di mosola le tse di ka diragadiwang gompieno.
Elevify advantages
Develop skills
- Ithute ka botlalo feature engineering: Tlhamela dipopego tse di mosola tse di ikaegileng ka nako gore o sekaseke.
- Tokafatsa go kgobokanya data: Lemoga le go dirisa metswedi ya data e e maleba ka botlalo.
- Toefatsa go baakanya data: Phepafatsa, tlwaelanya le go lekanya data gore e nepagame.
- Diragatsa forecasting models: Dirisa ARIMA le LSTM gore o bone bokamoso ka nepagamo.
- Tlhalosa dintlha tse di botlhokwa: Bontsha ka pono le go bega dikgakololo tsa kgwebo tse di ikaegileng ka data.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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