Course Content

Course Content


A Machine Learning library, also known as a Machine Learning framework, is a collection of procedures and functions developed in a certain programming language.

Keras is an open-source library that works well on both CPU and GPU. It is employed in deep learning, specifically neural networks.

TensorFlow, PyTorch, and scikit-learn are arguably the most popular ML frameworks.

To understand how to do various actions, training datasets must be given into the machine learning algorithm first, followed by validation datasets (or testing datasets) to check that the model is correctly understanding this data.

  • State the issue as soon as possible.
  • Put in place data collection mechanisms.
  • Examine the accuracy of your data.
  • Format data to ensure consistency.
  • Trim the data.
  • Finish data cleansing.
  • Make new features from current ones.

Recommended Courses

Share With Friend

Have a friend to whom you would want to share this course?

Download LearnVern App

App Preview Image
App QR Code Image
Code Scan or Download the app
Google Play Store
Apple App Store
598K+ Downloads
App Download Section Circle 1
4.57 Avg. Ratings
App Download Section Circle 2
15K+ Reviews
App Download Section Circle 3
  • Learn anywhere on the go
  • Get regular updates about your enrolled or new courses
  • Share content with your friends
  • Evaluate your progress through practice tests
  • No internet connection needed
  • Enroll for the webinar and join at the time of the webinar from anywhere