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Understand Machine Learning Fundamentals: Learn core
ML concepts, algorithms, and types of learning.
Work with Data: Preprocess and analyze datasets for
model training and evaluation.
Apply Supervised and Unsupervised Learning: Implement
classification, regression, clustering, and dimensionality reduction.
Develop Real-World Applications: Build projects such
as predictive analytics, recommendation systems, and automated AI solutions.
From Learning to Leading.
Master Machine Learning: Build Intelligent AI Models
Learn machine learning techniques to develop AI-driven applications.
What you'll learn
Machine Learning is one of the most sought-after skills in today's data-driven world. This course will take you from the basics to advanced concepts, equipping you with the knowledge to build and deploy machine learning models effectively.
This course is suitable for Interns, professionals, and enthusiasts eager to gain expertise in machine learning. By the end, you'll be able to confidently build and deploy ML models.
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Course Content
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Overview of Machine Learning and its applications
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Setting up the ML development environment
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Regression and classification algorithms
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Model evaluation and performance metrics
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Clustering and association rules
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Dimensionality reduction techniques
Requirements
- Basic knowledge of programming
- Familiarity with mathematics and statistics
- A computer with internet access
Description
- Learn Machine Learning from scratch
- Understand core ML algorithms
- Develop hands-on projects
- Earn a certification upon completion
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