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AI And Machinelearning Course
Boost your Business Intelligence skills with our AI and Machine Learning Course, specifically designed for Kenyan professionals looking for practical, top-notch training. You'll learn how to properly select features, prepare your data, and fine-tune your models. Get hands-on experience with popular tools like PyTorch, Scikit-learn, and TensorFlow. Plus, you'll learn how to document and present your projects clearly, so everyone understands your data insights. This course will give you the power to make your models even better and make confident, data-driven decisions.
- Learn feature selection properly: Make your data better by reducing dimensions and understanding correlations.
- Improve data preparation: Deal with missing information and properly encode different types of data.
- Use ML frameworks well: Build models confidently with PyTorch, Scikit-learn, and TensorFlow.
- Fine-tune models effectively: Get better performance by experimenting and adjusting settings.
- Document projects clearly: Create full reports and explain how you evaluated your models.

from 4 to 360h flexible workload
certificate recognized by the MEC
What will I learn?
Boost your Business Intelligence skills with our AI and Machine Learning Course, specifically designed for Kenyan professionals looking for practical, top-notch training. You'll learn how to properly select features, prepare your data, and fine-tune your models. Get hands-on experience with popular tools like PyTorch, Scikit-learn, and TensorFlow. Plus, you'll learn how to document and present your projects clearly, so everyone understands your data insights. This course will give you the power to make your models even better and make confident, data-driven decisions.
Elevify advantages
Develop skills
- Learn feature selection properly: Make your data better by reducing dimensions and understanding correlations.
- Improve data preparation: Deal with missing information and properly encode different types of data.
- Use ML frameworks well: Build models confidently with PyTorch, Scikit-learn, and TensorFlow.
- Fine-tune models effectively: Get better performance by experimenting and adjusting settings.
- Document projects clearly: Create full reports and explain how you evaluated your models.
Suggested summary
Before starting, you can change the chapters and 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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