Build a Clustering Model using PyCaret from Coursera

In this 1-hour long project-based course, you will create an end-to-end clustering model using PyCaret a low-code Python open-source Machine Learning library.

The goal is to build a model that can segment a wholesale customers based on their historical purchases.

You will learn how to automate the major steps for building, evaluating, comparing and interpreting Machine Learning Models for clustering.

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.

To be successful in this project, you should be familiar with Python and the basic concepts on Machine Learning.

What's inside

Syllabus

Project Overview

By the end of this project, you will create an end-to-end clustering model using PyCaret a low-code Python open-source Machine Learning library.The goal is to build a model that can segment a wholesale customers.You will learn how to automate the major steps for building, evaluating, comparing and interpreting Machine Learning Models for clustering.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Accelerates the efficiency in building POC and experiments by using a low-code library

Teaches how to automate the major steps for building, evaluating, comparing and interpreting Machine Learning Models for clustering

Segments a wholesale customers based on their historical purchases

Provides steps to frame the problem, get and prepare the data, discover and visualize the data, create the transformation pipeline, build, evaluate, interpret and deploy the model

Uses a low-code Python open-source Machine Learning library called PyCaret

Helps seasoned Data Scientists and Citizen data Scientists add machine learning models to the analytics toolkit

Career center

Learners who complete Build a Clustering Model using PyCaret will develop knowledge and skills that may be useful to these careers:

Statistician

Statisticians interpret and analyze data to help businesses and organizations make informed decisions. The Build a Clustering Model using PyCaret course provides a solid foundation in data analysis and modeling, which are essential skills for success in this role. Additionally, the course covers topics such as data preparation, model evaluation, and interpretation, which are all critical for Statisticians.

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Data Analyst

Data Analysts use their skills in data analysis and modeling to identify trends and patterns in data. The Build a Clustering Model using PyCaret course provides a comprehensive overview of the data analysis process, from data preparation to model deployment. By taking this course, Data Analysts can enhance their skills in data clustering, which is a valuable technique for segmenting data and identifying patterns.

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Machine Learning Engineer

Machine Learning Engineers design, build, and deploy machine learning models. The Build a Clustering Model using PyCaret course provides a practical introduction to machine learning and clustering techniques. By taking this course, Machine Learning Engineers can gain hands-on experience in building and evaluating clustering models, which is a key skill for this role.

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Data Scientist

Data Scientists use their skills in data analysis, modeling, and machine learning to solve business problems. The Build a Clustering Model using PyCaret course provides a comprehensive overview of the data science process, from data collection to model deployment. By taking this course, Data Scientists can enhance their skills in data clustering, which is a valuable technique for segmenting data and identifying patterns.

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Business Analyst

Business Analysts use their skills in data analysis and modeling to help businesses make informed decisions. The Build a Clustering Model using PyCaret course provides a solid foundation in data analysis and modeling, which are essential skills for success in this role. Additionally, the course covers topics such as data preparation, model evaluation, and interpretation, which are all critical for Business Analysts.

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Quantitative Analyst

Quantitative Analysts use their skills in data analysis and modeling to make investment decisions. The Build a Clustering Model using PyCaret course provides a solid foundation in data analysis and modeling, which are essential skills for success in this role. Additionally, the course covers topics such as data preparation, model evaluation, and interpretation, which are all critical for Quantitative Analysts.

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Risk Analyst

Risk Analysts use their skills in data analysis and modeling to identify and assess risks. The Build a Clustering Model using PyCaret course provides a solid foundation in data analysis and modeling, which are essential skills for success in this role. Additionally, the course covers topics such as data preparation, model evaluation, and interpretation, which are all critical for Risk Analysts.

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Market Researcher

Market Researchers use their skills in data analysis and modeling to understand customer behavior. The Build a Clustering Model using PyCaret course provides a solid foundation in data analysis and modeling, which are essential skills for success in this role. Additionally, the course covers topics such as data preparation, model evaluation, and interpretation, which are all critical for Market Researchers.

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Financial Analyst

Financial Analysts use their skills in data analysis and modeling to make investment decisions. The Build a Clustering Model using PyCaret course provides a solid foundation in data analysis and modeling, which are essential skills for success in this role. Additionally, the course covers topics such as data preparation, model evaluation, and interpretation, which are all critical for Financial Analysts.

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Operations Research Analyst

Operations Research Analysts use their skills in data analysis and modeling to improve business processes. The Build a Clustering Model using PyCaret course provides a solid foundation in data analysis and modeling, which are essential skills for success in this role. Additionally, the course covers topics such as data preparation, model evaluation, and interpretation, which are all critical for Operations Research Analysts.

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Actuary

Actuaries use their skills in data analysis and modeling to assess and manage risk. The Build a Clustering Model using PyCaret course provides a solid foundation in data analysis and modeling, which are essential skills for success in this role. Additionally, the course covers topics such as data preparation, model evaluation, and interpretation, which are all critical for Actuaries.

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Econometrician

Econometricians use their skills in data analysis and modeling to study economic data. The Build a Clustering Model using PyCaret course provides a solid foundation in data analysis and modeling, which are essential skills for success in this role. Additionally, the course covers topics such as data preparation, model evaluation, and interpretation, which are all critical for Econometricians.

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Biostatistician

Biostatisticians use their skills in data analysis and modeling to study biological data. The Build a Clustering Model using PyCaret course provides a solid foundation in data analysis and modeling, which are essential skills for success in this role. Additionally, the course covers topics such as data preparation, model evaluation, and interpretation, which are all critical for Biostatisticians.

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Epidemiologist

Epidemiologists use their skills in data analysis and modeling to study the distribution and determinants of health-related states or events (including disease), and the application of this study to the control of diseases and other health problems. The Build a Clustering Model using PyCaret course provides a solid foundation in data analysis and modeling, which are essential skills for success in this role. Additionally, the course covers topics such as data preparation, model evaluation, and interpretation, which are all critical for Epidemiologists.

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Survey Researcher

Survey Researchers use their skills in data analysis and modeling to design and conduct surveys. The Build a Clustering Model using PyCaret course provides a solid foundation in data analysis and modeling, which are essential skills for success in this role. Additionally, the course covers topics such as data preparation, model evaluation, and interpretation, which are all critical for Survey Researchers.

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