Practical Machine Learning for Data Scientists

Practical Machine Learning for Data Scientists

What you’ll learn

  • Build solid knowledge necessary for data scientists about AI, Machine Learning and Deep Learning
  • Understand the basics and underlying dynamics of supervised learining models: LinearRegression, LogisiticRegression, SVM, DNN, DecisionTrees and RandomForests.
  • Get introduced to unsupervised learning approaches for dimensionality reduction and clustering.
  • Build practical Machine Learning models and pipelines using python, scikit-learn, pandas, keras and tensorflow
  • Solve practical problems like image classification, text classification, price prediction.

How to Enroll Practical Machine Learning for Data Scientists course?

  • To Access "Practical Machine Learning for Data Scientists" Click on Enroll Now button at end of the post. It will redirect you to Udemy Course Page and then you can start the enrollment process.
  • If you're New to Udemy? Sign up with your email and create a password. for Existing users, log in with your credentials to access course.
  • How many members can access this course with a coupon?

    Practical Machine Learning for Data Scientists Course coupon is limited to the first 1,000 enrollments. Click 'Enroll Now' to secure your spot and dive into this course on Udemy before it reaches its enrollment limits!

    External links may contain affiliate links, meaning we get a commission if you decide to make a purchase
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