A step-by-step guide on how to build a lead scoring model using PyCaret and increase the ROI on marketing campaigns.

Introduction

Leads are the driving force of many businesses today. With the advancement of subscription-based business models particularly in the start-up space, the ability to convert leads into paying customers is key to survival. In simple terms, a “lead” represents a potential customer interested in buying your product/service.

Normally when you…

A step-by-step guide on how to predict customer churn the right way using PyCaret that actually optimizes the business objective and improves ROI

Introduction

Customer retention is one of the primary KPI for companies with a subscription-based business model. Competition is tough particularly in the SaaS market where customers are free to choose from plenty of providers. One bad experience and customer may just move to the competitor resulting in customer churn.

What is Customer Churn?

Customer churn…

A step-by-step tutorial on how to convert ML models trained using PyCaret to ONNX for high-performance scoring (CPU or GPU)

Introduction

In this tutorial, I will show you how you can train machine learning models using PyCaret — an open-source, low-code machine learning library in Python—and convert them in ONNX format for deployment on an edge device or any other non-Python environment. For example, you can train machine learning models using…

A step-by-step tutorial on training and deploying machine learning models in Alteryx Designer using PyCaret

Introduction

In this tutorial, I will show you how you can train and deploy machine learning pipelines in a very popular ETL tool Alteryx using PyCaret — an open-source, low-code machine learning library in Python. The Learning Goals of this tutorial are:

👉 What is PyCaret and how to get started?

How to get started with PyCaret for all your machine learning projects

PyCaret

PyCaret is an open-source, low-code machine learning library and end-to-end model management tool built-in Python for automating machine learning workflows. …

MACHINE LEARNING | PYCARET | KNIME ANALYTICS PLATFORM

A step-by-step guide on training and scoring machine learning models in KNIME using PyCaret

PyCaret

PyCaret is an open-source, low-code machine learning library and end-to-end model management tool built-in Python for automating machine learning workflows. Its ease of use, simplicity, and ability to quickly and efficiently build and deploy end-to-end machine learning pipelines will amaze you.

PyCaret is an alternate low-code library that can replace…

A beginner-friendly, step-by-step tutorial on integrating MLOps in your Machine Learning experiments using PyCaret

PyCaret

PyCaret is an open-source, low-code machine learning library and end-to-end model management tool built-in Python for automating machine learning workflows. It is known for its ease of use, simplicity, and ability to quickly and efficiently build and deploy end-to-end ML prototypes.

PyCaret is an alternate low-code library that can replace…

A step-by-step, beginner-friendly tutorial on how to write and train custom machine learning models in PyCaret

PyCaret

PyCaret is an open-source, low-code machine learning library and end-to-end model management tool built-in Python for automating machine learning workflows. It is incredibly popular for its ease of use, simplicity, and ability to quickly and efficiently build and deploy end-to-end ML prototypes.

PyCaret is an alternate low-code library that can…

A step-by-step, beginner-friendly tutorial on how to build an end-to-end Machine Learning Pipeline with PyCaret and deploy it as an API.

👉 Introduction

This is a step-by-step, beginner-friendly tutorial on how to build an end-to-end Machine Learning Pipeline with PyCaret and deploy it in production as a web API using FastAPI.

Learning Goals of this Tutorial

  • Build an end-to-end machine learning pipeline using PyCaret
  • What is a deployment and why do we deploy machine learning models
  • Develop an…

Hands-on Tutorials

A step-by-step tutorial on unsupervised anomaly detection for time series data using PyCaret

👉 Introduction

This is a step-by-step, beginner-friendly tutorial on detecting anomalies in time series data using PyCaret’s Unsupervised Anomaly Detection Module.

Learning Goals of this Tutorial

  • What is Anomaly Detection? Types of Anomaly Detection.
  • Anomaly Detection use-case in business.
  • Training and evaluating anomaly detection model using PyCaret.
  • Label anomalies and analyze the results.

👉 PyCaret

PyCaret is an open-source…

Moez Ali

Data Scientist, Founder & Author of PyCaret

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