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Machine Learning Capstone

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Create a final presentation to evaluate peer projects, train neural networks for regression and classification, and develop Python-based recommender systems. Additionally, employ KNN, PCA, and collaborative filtering.

Key AI Functions:Artificial Neural Network,Data Analysis,Python Programming,Supervised Learning,unsupervised machine learning
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Description for Machine Learning Capstone

  • By developing Python-based recommender systems, it is possible to compare and contrast various machine learning algorithms.
  • Train a neural network and develop regression and classification models to forecast course ratings.
  • Develop recommendation systems by utilizing your understanding of KNN, PCA, and non-negative matrix collaborative filtering.
  • Create a final presentation and assess the projects of your colleagues.

    • Level: Advanced

    Certification Degree: Yes

    Languages the Course is Available: 22

    Offered by: On Coursera provided by IBM

    Duration: 20 hours (approximately)

    Schedule: Hands-on learning

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