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Machine Learning Projects

Machine Learning Projects

$9.99

$109.99

"Machine Learning Projects" offers hands-on experience with real-world data science challenges. In this course, you'll work on diverse machine learning projects, gaining practical skills in data preprocessing, model selection, and evaluation. Through projects involving classification, regression, and clustering, you'll learn to apply machine learning techniques effectively and understand the basics of model deployment and maintenance. This course bridges the gap between theory and practice, providing you with valuable insights and experience in solving complex problems using machine learning.

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Has discount
Expiry period Lifetime
Made in English
Last updated at Mon Jul 2024
Level
Beginner
Total lectures 45
Total quizzes 0
Total duration 43:05:24 Hours
Total enrolment 62
Number of reviews 12
Avg rating
Short description "Machine Learning Projects" offers hands-on experience with real-world data science challenges. In this course, you'll work on diverse machine learning projects, gaining practical skills in data preprocessing, model selection, and evaluation. Through projects involving classification, regression, and clustering, you'll learn to apply machine learning techniques effectively and understand the basics of model deployment and maintenance. This course bridges the gap between theory and practice, providing you with valuable insights and experience in solving complex problems using machine learning.
Outcomes
  • Project Experience: Hands-on experience in applying machine learning techniques to real-world problems through various projects.
  • Data Processing Skills: Competence in preprocessing and preparing data for analysis and modeling.
  • Model Evaluation: Ability to select and evaluate machine learning models using appropriate metrics.
  • Practical Application: Experience in implementing machine learning solutions for classification, regression, and clustering tasks.
  • Deployment Knowledge: Basic understanding of model deployment and maintenance in production environments.
Requirements