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    Quick Facts

    Medium Of InstructionsMode Of LearningMode Of Delivery
    EnglishSelf Study, Virtual ClassroomVideo and Text Based

    Courses and Certificate Fees

    Certificate AvailabilityCertificate Providing Authority
    yesHaas School of Business, Berkeley

    The fees for the course is : 

    Fees componentsAmount
    Original fees$7,975
    Discounted fees$7,177

    The Syllabus

    • Introduction to Machine Learning
    • Fundamentals of Machine Learning
    • Introduction to Data Analysis
    • Fundamentals of Data Analysis
    • Practical Applications I

    • Clustering and Principal Component Analysis
    • Linear and Multiple Regression
    • Feature Engineering and Overfitting
    • Model Selection and Regularization
    • Time Series Analysis and Forecasting
    • Practical Applications II
    • Classification and k-Nearest Neighbors
    • Logistic Regression
    • Decision Trees
    • Gradient Descent and Optimization
    • Support Vector Machines
    • Practical Applications III

    • Natural Language Processing
    • Recommendation Systems
    • Capstone I
    • Ensemble Techniques (GBM, XGB, and Random Forest)
    • Deep Neural Networks I
    • Deep Neural Networks II
    • Capstone II

    • Introduction to Generative AI
    • Capstone Project

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