Python AI ML Course
Lef yuhself outta di dark wid Python powa fi AI ahn ML wid wi kuos weh tailor mek fi Bizniz Intelijens prafeshnal. Dive een tu di data preprosesin, ahn mashta tekniek laik fi deal wid dat weh missin ahn outliya ditekshon. Mek yuh fikaastin skil dem betta wid LSTM, ARIMA, ahn Prafit model. Laan fi aptimaiz model chuu aipaparamita tyuunin ahn grid saach. Giem expatiiz ina fiicha enjiniarin ahn data eksplorieshan, ahn kanfidentli intapret ahn ripuot rizolt. Eleeviet yuh BI kerier wid praktikal, ai-kwaliti insait.

from 4 to 360h flexible workload
certificate recognized by the MEC
What will I learn?
Lef yuhself outta di dark wid Python powa fi AI ahn ML wid wi kuos weh tailor mek fi Bizniz Intelijens prafeshnal. Dive een tu di data preprosesin, ahn mashta tekniek laik fi deal wid dat weh missin ahn outliya ditekshon. Mek yuh fikaastin skil dem betta wid LSTM, ARIMA, ahn Prafit model. Laan fi aptimaiz model chuu aipaparamita tyuunin ahn grid saach. Giem expatiiz ina fiicha enjiniarin ahn data eksplorieshan, ahn kanfidentli intapret ahn ripuot rizolt. Eleeviet yuh BI kerier wid praktikal, ai-kwaliti insait.
Elevify advantages
Develop skills
- Mashta data preprosesin: Handle data weh missin, naamalaiz, ahn ditekt outliya.
- Analiz model predikshan: Intapret rizolt ahn kriet insaitful ripuot.
- Fikaast wid taim siiriz: Yutilaiz LSTM, Prafit, ahn ARIMA model efektivli.
- Enjinier fiicha: Inkaapariet domeni nalij ahn evalyuet fiicha impuotans.
- Aptimaiz model: Pafoerm aipaparamita tyuunin ahn kandokt grid/random saach.
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 are saying
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