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ML Data Science

Track :

Programming

Lessons no : 8

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What will you learn in this course?
  • Develop and implement machine learning algorithms for data analysis and predictive modeling using Python and popular libraries
  • Apply data preprocessing, feature engineering, and model evaluation techniques to improve machine learning performance
  • Utilize supervised and unsupervised learning methods to extract insights from complex datasets in real-world scenarios
  • Design scalable machine learning solutions for big data applications and optimize model accuracy and efficiency
  • Interpret model results and communicate findings effectively to stakeholders using data visualization tools
  • Integrate machine learning models into production environments ensuring robustness, scalability, and ethical AI practices

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Lessons | 8


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Palak Kumain

Quite good
2023-12-22

Diko Francis Peter Micheal

Great
2023-11-03

Pooja

Wow
2023-09-19

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Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.