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Python machine learning for beginners

Track :

Programming

Course Presenter :

Great Learning

Lessons no : 8

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What will you learn in this course?
  • Master data preprocessing, feature engineering, and data visualization for machine learning projects using Python and Pandas
  • Implement supervised learning algorithms like linear regression and decision trees for predictive modeling in Python
  • Apply unsupervised learning techniques such as clustering and dimensionality reduction to analyze complex datasets
  • Evaluate and optimize machine learning models using metrics like accuracy, precision, recall, and cross-validation in Python
  • Build neural networks and deep learning models with TensorFlow for advanced machine learning applications
  • Develop real-world machine learning solutions in healthcare, finance, and business using Python libraries and practical projects

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Lessons | 8


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Niranjan R

Good
2026-05-06

Ananth Aditya Akumalla

VERY HELPFUL COURSE
2026-04-21

Rakshit Upadhyay

good
2026-04-20

Gaurav Nidhaniya

good
2026-04-19

ASTHA PATHAK

nice
2026-04-17

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nice experience
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2026-04-16

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Awesome
2026-04-16

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course was fantastic
2026-04-16

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Python machine learning , in this course we will learn about Python Machine Learning, covering fundamental concepts, algorithms, and techniques to build predictive models. You will explore data preprocessing, feature engineering, supervised and unsupervised learning, model evaluation, and optimization. Learn to implement key algorithms like linear regression, decision trees, and neural networks using libraries such as Scikit-Learn, TensorFlow, and Pandas. Understand real-world applications in healthcare, finance, and business while gaining hands-on experience with practical projects. Whether you're a beginner or looking to enhance your skills, this course provides a structured approach to mastering machine learning with Python. Great Learning