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Machine Learning Bookcamp presents realistic, practical machine learning scenarios, along with crystal-clear coverage of key concepts. In this course, you’ll complete engaging projects, such as creating a car price predictor using linear regression and deploying a churn prediction service.

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FREE
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Unlimited Duration

Last Updated

October 29, 2021

Students Enrolled

1

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Certification

Machine learning is what you need for analyzing customer behavior, predicting price trends, evaluating risk, and much more. To master ML, you need great examples, clear explanations, and lots of practice.

You’ll go beyond the algorithms and explore important techniques like deploying ML applications on serverless systems and serving models with Kubernetes and Kubeflow. In this course, you’ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects.

In Machine Learning Bookcamp you will:

  • Collect and clean data for training models.
  • Use popular Python tools, including NumPy, Scikit-Learn, and TensorFlow.
  • Apply ML to complex datasets with images.
  • Deploy ML models to a production-ready environment.

Course Curriculum

    • Machine learning Unlimited
    • Machine learning process Unlimited
    • Modeling and model validation Unlimited
    • Summary Unlimited
    • Module 1: Introduction to machine learning Deck Unlimited
    • Car-price prediction project Unlimited
    • Exploratory data analysis Unlimited
    • Machine learning for regression Unlimited
    • Predicting the price Unlimited
    • Summary Unlimited
    • Assignment Unlimited
    • Module 2: Machine learning for regression Deck Unlimited
    • Module 2: Machine learning for regression Quiz 00:05:00
    • Churn prediction project Unlimited
    • Feature engineering Unlimited
    • Machine learning for classification Unlimited
    • Summary Unlimited
    • Assignment Unlimited
    • Module 3: Machine learning for classification Deck Unlimited
    • Module 3: Machine learning for classification Quiz 00:05:00
    • Evaluation metrics Unlimited
    • Confusing table Unlimited
    • ROC curve and AUC score Unlimited
    • Parameter tuning Unlimited
    • Summary Unlimited
    • Assignment Unlimited
    • Module 4: Evaluation metrics for classification Deck Unlimited
    • Module 4: Evaluation metrics for classification Quiz 00:05:00
    • Churn prediction model Unlimited
    • Model serving Unlimited
    • Managing dependencies Unlimited
    • Deployment Unlimited
    • Summary Unlimited
    • Assignment Unlimited
    • Module 5: Deploying machine learning models Deck Unlimited
    • Credit risk scoring project Unlimited
    • Decision trees Unlimited
    • Random forest Unlimited
    • Gradient boosting Unlimited
    • Summary Unlimited
    • Assignment Unlimited
    • Module 6: Decision trees and ensemble learning Deck Unlimited
    • Module 6: Decision trees and ensemble learning Quiz 00:05:00
    • Fashion classification Unlimited
    • Convolutional neural networks Unlimited
    • Internals of the model Unlimited
    • Training the model Unlimited
    • Using the model Unlimited
    • Summary Unlimited
    • Assignment Unlimited
    • Module 7: Neural networks and deep learning Deck Unlimited
    • Module 7: Neural networks and deep learning Quiz 00:05:00
    • Serverless: AWS Lambda Unlimited
    • Summary Unlimited
    • Assignment Unlimited
    • Module 8: Serverless deep learning Deck Unlimited
    • Kubernetes and Kubeflow Unlimited
    • Serving models with TensorFlow-Serving Unlimited
    • Model deployment with Kubernetes Unlimited
    • Model deployment with Kubeflow Unlimited
    • Summary Unlimited
    • Assignment Unlimited
    • Module 9: Serving models with Kubernetes and Kubeflow Deck Unlimited

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