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Machine Learning For Beginners

Track :

Programming

Lessons no : 20

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What will you learn in this course?
  • Develop foundational understanding of machine learning algorithms, models, and techniques for practical data analysis and prediction
  • Apply supervised and unsupervised learning methods to real-world datasets for actionable insights and decision-making
  • Implement machine learning workflows using popular tools like Python, scikit-learn, and Jupyter notebooks for data science projects
  • Evaluate model performance using metrics such as accuracy, precision, recall, and F1 score for reliable predictions
  • Identify suitable machine learning techniques for different problem types including classification, regression, and clustering
  • Preprocess and clean data effectively to improve machine learning model accuracy and robustness
  • Utilize feature engineering and selection methods to enhance model performance and interpretability
  • Understand ethical considerations and best practices in deploying machine learning solutions responsibly

How to Get The Certificate

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  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
  • you can follow your course progress From Your Profile
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  • The Certificate is free !
Lessons | 20

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Rakshita karyagol

4 2025-08-14

raju

I am so excited because this is my first course that I finished ... 2025-08-08

Rahul Pandey

nice 2024-11-27

JITHENDAR NEERAJ SANKA

nice 2023-09-06

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Machine Learning is a system of computer algorithms that can learn from example through self-improvement without being explicitly coded by a programmer. Machine learning is a part of artificial Intelligence which combines data with statistical tools to predict an output which can be used to make actionable insights .