Course description
This structured course covers everything from Data Science fundamentals to advanced AI and ML concepts. Learn how to build predictive models, analyze data, work with supervised and unsupervised learning algorithms, and explore real-world applications of AI.
The course includes practical demonstrations with Python and real datasets, helping learners master data preprocessing, feature selection, classification, regression, clustering, and reinforcement learning.
Ideal for beginners and professionals looking to advance their careers in Data Science, AI, and Machine Learning.
What will i learn?
- Understand core concepts of Data Science & AI
- Work with Supervised & Unsupervised ML models
- Perform Data Preprocessing & Feature Engineering
- Implement ML Algorithms in Python
- Learn Time Series Forecasting & Reinforcement Learning
- Gain insights into AI & Future Trends
Requirements
- Basic Python Programming Knowledge
- Understanding of Mathematics & Statistics
- Enthusiasm to learn Data Science & ML
Frequently asked question
Basic Python programming and knowledge of statistics will be helpful, but the course covers all essential concepts from scratch.
The course primarily uses Python for all hands-on implementations.
Yes! The course covers AI concepts, reinforcement learning, and an introduction to Cognitive AI.
No, the course is designed for both beginners and experienced professionals.
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