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Build a Classification Model using PyCaret
  • Level Beginner
  • Duration 3 hours
  • Offered by

About

In this 1-hour long project-based course, you will create an end-to-end classification model using PyCaret a low-code Python open-source Machine Learning library. The goal is to build a model that can accurately predict whether a teacher's project proposal was accepted, based on the data they provided in their application. You will learn how to automate the major steps for building, evaluating, comparing and interpreting Machine Learning Models for classification. Here are the main steps you will go through: frame the problem, get and prepare the data, discover and visualize the data, create the transformation pipeline, build, evaluate, interpret and deploy the model. This guided project is for seasoned Data Scientists who want to build a accelerate the efficiency in building POC and experiments by using a low-code library. It is also for Citizen data Scientists (professionals working with data) by using the low-code library PyCaret to add machine learning models to the analytics toolkit In order to be successful in this project, you should be familiar with Python and the basic concepts on Machine Learning Note: This course works best for learners who are based in the North America region. We're currently working on providing the same experience in other regions.

Auto Summary

Unlock the potential of machine learning with our focused, project-based course, "Build a Classification Model using PyCaret." Designed for IT and Computer Science enthusiasts, this 1-hour intensive course empowers you to create an end-to-end classification model using PyCaret, a user-friendly, low-code Python open-source machine learning library. Guided by expert instructors from Coursera, you'll embark on a journey to predict the acceptance of teachers' project proposals based on application data. This course meticulously covers essential steps, including problem framing, data preparation, visualization, transformation pipeline creation, model building, evaluation, interpretation, and deployment. Whether you're a seasoned Data Scientist aiming to enhance your efficiency in building proofs of concept and experiments or a Citizen Data Scientist looking to enrich your analytics toolkit with machine learning models, this course is tailored for you. Prior knowledge of Python and basic machine learning concepts will help you get the most out of this experience. Dedicated to learners in the North America region, this foundational level course offers flexible subscription options, starting with the Starter plan. Dive into this engaging learning experience and elevate your data science skills with PyCaret today!