Python AI Course
Vhurai simba re AI ne yedu Python AI Course, yakagadzirirwa vanhu vanoshanda muzve technology vanoda kuita zvakanaka mumaindava ekurumbidza zvinhu. Pindai mukati memakomborasi ne content-based filtering matekiniki, gadzirirai kuunganidza nekugadzirira data muchishandisa Pandas, uye ongororai movie datasets. Simbisai hunyanzvi hwenyu ne exploratory data analysis muchishandisa Matplotlib ne Seaborn, uye shandisai mamodels ne Python ne NumPy. Dzidzai kuyera nekunatsiridza mamodels ne precision, recall, uye F1-score, uye gadzirai magwaro akajeka, mapfupi nemishumo.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Vhurai simba re AI ne yedu Python AI Course, yakagadzirirwa vanhu vanoshanda muzve technology vanoda kuita zvakanaka mumaindava ekurumbidza zvinhu. Pindai mukati memakomborasi ne content-based filtering matekiniki, gadzirirai kuunganidza nekugadzirira data muchishandisa Pandas, uye ongororai movie datasets. Simbisai hunyanzvi hwenyu ne exploratory data analysis muchishandisa Matplotlib ne Seaborn, uye shandisai mamodels ne Python ne NumPy. Dzidzai kuyera nekunatsiridza mamodels ne precision, recall, uye F1-score, uye gadzirai magwaro akajeka, mapfupi nemishumo.
Elevify advantages
Develop skills
- Gadzirisai collaborative filtering: Simbisai AI ne user-item interaction insights.
- Chenesai nekugadzirira data: Gadzirisai datasets dzekurovedza accurate AI model.
- Ratidzai data insights: Shandisai Matplotlib ne Seaborn kuitira nyaya dzinobata moyo.
- Yenzanisa mamodels zvakanaka: Shandisai precision, recall, uye F1-score metrics.
- Nyora magwaro akajeka: Gadzirai mishumo mipfupi ine code snippets nemaviso.
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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