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Python AI Course
Unlock the power of AI wit our Python AI Course, made for tech professionals dem dey eager to sabi pass for inside recommendation systems. Dig deep inside collaborative and content-based filtering techniques, sabi how to collect and prepare data well well using Pandas, and explore movie datasets dem. Mek your skills sharp wit exploratory data analysis using Matplotlib and Seaborn, and use Python and NumPy to put models for work. Learn how to check if your models dey correct and how to mek dem better using precision, recall, and F1-score, and write clear reports wey sabi explain things witout yawa.
- Master collaborative filtering: Use user-item interaction inside AI to sabi things deep.
- Clean and prepare data: Mek your datasets correct so dem go train AI model well.
- Visualize data insights: Use Matplotlib and Seaborn to show data tori wey go touch person.
- Evaluate models effectively: Use precision, recall, and F1-score metrics to check if your model dey work.
- Document with clarity: Write report wey dey clear wit code and pictures.
flexible workload from 4 to 360h
certificate recognized by MEC
What will I learn?
Unlock the power of AI wit our Python AI Course, made for tech professionals dem dey eager to sabi pass for inside recommendation systems. Dig deep inside collaborative and content-based filtering techniques, sabi how to collect and prepare data well well using Pandas, and explore movie datasets dem. Mek your skills sharp wit exploratory data analysis using Matplotlib and Seaborn, and use Python and NumPy to put models for work. Learn how to check if your models dey correct and how to mek dem better using precision, recall, and F1-score, and write clear reports wey sabi explain things witout yawa.
Elevify advantages
Develop skills
- Master collaborative filtering: Use user-item interaction inside AI to sabi things deep.
- Clean and prepare data: Mek your datasets correct so dem go train AI model well.
- Visualize data insights: Use Matplotlib and Seaborn to show data tori wey go touch person.
- Evaluate models effectively: Use precision, recall, and F1-score metrics to check if your model dey work.
- Document with clarity: Write report wey dey clear wit code and pictures.
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 workloadWhat our students say
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