Become Data Science (Machine Learning) professional by learning from Data Science professional
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
1. The content (80% hands on and 20% theory) will prepare you to work independently on Data Science (AI and Machine learning) project
2. Foundation of Machine learning
3. Supervised Machine learning - Regression
4. Supervised Machine learning - Classifications
5. Unsupervised Machine learning (Clustering, KNN, PCA)
This comprehensive Data Science for AI and Machine Learning Using Python curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Data Science for AI and Machine Learning Using Python course:
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Everything you need to know about this online course, from duration to certification
Course Instructor
Shiv Onkar Deepak Kumar
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
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