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Machine Learning
Master practical machine learning with hands-on Python implementation of prediction, classification, and clustering algorithms.
Course Cost
₹ 5,199
Intermediate
Skill Level
78 Hours
Self-paced lessons
This comprehensive specialization from the University of Washington provides practical experience in major areas of machine learning. Students learn to analyze large datasets, create adaptive systems, and build intelligent applications through hands-on case studies and Python programming, covering core concepts from regression and classification to clustering and information retrieval.
2,12,844 Enrolled
English
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2,12,844 Enrolled
English
What you'll learn
Build end-to-end machine learning applications
Implement regression models for prediction tasks
Develop classification systems for sentiment analysis
Master clustering and document retrieval techniques
Apply deep learning and recommender systems
Evaluate model performance and tune parameters
Handle large-scale datasets effectively
Implement machine learning algorithms in Python
Skills you'll gain
This course includes:
78 Hours PreRecorded video
Case studies and programming assignments
Access on Mobile, Desktop, Tablet
FullTime access
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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 courses in this program
Machine Learning Foundations: A Case Study Approach
Course 1 · 15 Hours to complete · 7 modules
Machine Learning: Regression
Course 2 · 19 Hours to complete · 8 modules
Machine Learning: Classification
Course 3 · 17 Hours to complete · 10 modules
Machine Learning: Clustering & Retrieval
Course 4 · 14 Hours to complete · 6 modules
Fee Structure
Payment options
Financial Aid
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