Learn how to Predict Students Mark or Grades in Python Using ML Simple Linear Regression Method

This Predictive Analytics kit provides analytical view of students’ performance in mathematics and predicts grades to be scored in final test.The key features of this solution are: Analysis of grades of students, Visualisation of patterns and Prediction of grade in final test. How can you build a similar model?

The answer is in this course using the kandi 1-click solution kit. You will have a working model at the end of the session!

Learning Objectives

After completing this course you will:

  • Have a good working knowledge of the Fundamentals of Machine learning and Predictive Analysis.
  • Learn various concepts involved in solving a regression problem in machine learning, and you will know the key evaluation metrics that are used in such problems.
  • Have a fully functional prototype that you can customize, showcase, share, using the existing source code.

Complete this course in 3 easy steps to earn your certificate!

STEP 1 : Watch the below self-guided tutorial.
STEP 2 : Practice as you watch the video by installing and working with the kandi 1-click solution kit.
STEP 3 : Complete the assessment to receive your certificate.


STEP 1 : TUTORIAL

Watch this self-guided tutorial on how you can use Libraries to analyze data and build model for prediction; Dataset for training and validation of model; unseen dataset for testing to build your own Student Grades Predictor.


STEP 2 : PRACTICAL EXERCISE

Click the below button to access the predictive analytics kandi kit. This kit has all the required dependencies and resources you need to build your application.

kandi 1click kits include Python, Jupyter notebook and helps you learn to apply the basics of machine learning to predict the output variable based on dependent input variables, solve a regression problem in machine learning, and you will know the key evaluation metrics that are used in such problems, compare and find the models based on evaluation metrics.

Click on the 1-Click Installer button on the kandi kit page to install the predictive analytics kit. On installing and running this kit, you will have a working model that you can customize and use in your project.

kandi 1-Click Kit - Dark

After completing this step, proceed to STEP 3.


STEP 3 : ASSESSMENT

Complete a short assessment and earn your certificate now. Congrats
Take Assessment

Your assessment will be reviewed and you will receive a verified certificate via email within a week.


SUPPORT

Reach out to us by replying below for any help you may need with this course.

We hope you enjoyed using kandi! Continue your learning journey with kandi Congrats

MicrosoftTeams-image (55) Bias Detector Breast Cancer Predictor

1 Like