HomeCoursesSimplifying Machine Learning with PyCaret in Python

4.5

Beginner

2h 15min

Updated 1 month ago

Simplifying Machine Learning with PyCaret in Python

Gain insights into simplifying machine learning with PyCaret. Delve into regression, classification, clustering, and anomaly detection, and learn to deploy applications using Streamlit.

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Overview

Content

Reviews

PyCaret is an low-code, open-source, machine learning library for Python. It can be used in machine learning tasks such as data preparation and model deployment. In this course, you will learn multiple topics related to machine learning. You will start with a brief introduction to the basic concepts of machine learning, and then continue with case studies of regression, classification, clustering, and anomaly detection based on the respective modules of the PyCaret library. Finally, we will focus on using the Streamlit library to develop and deploy machine learning applications. By the end of this course, you will have the skills to deploy the robust PyCaret library for any of your machine learning projects.

PyCaret is an low-code, open-source, machine learning library for Python. It can be used in machine learning tasks such as data ...Show More

WHAT YOU'LL LEARN

Knowledge of PyCaret

Expertise in Streamlit and app deployment on Streamlit Cloud

Regression with PyCaret and familiarity with exploratory data analysis, environment setup and building machine learning models

Classification with PyCaret and creating, tuning, plotting and saving machine learning models

Clustering tasks with PyCaret

Anomaly Detection with PyCaret

Knowledge of PyCaret

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Content

48 Lessons6 Quizzes

1.

Introduction to Machine Learning

2 Lessons

Get familiar with PyCaret, machine learning types, and applications in this beginner course.

Getting Started

Machine Learning and its Types

2.

Regression

7 Lessons

Get started with regression techniques, EDA, PyCaret setup, model building, and practical coding challenges.

Regression with PyCaret

Exploratory Data Analysis

Getting Familiar with the PyCaret Environment

Building the Model

Coding Challenge: Train Random Forest Model

Solution Review: Train Random Forest Model

Quiz: Regression

3.

Classification

7 Lessons

Go hands-on with understanding and implementing classification using PyCaret in Python.

Classification with PyCaret

Exploratory Data Analysis

Getting Familiar with the PyCaret Environment

Building the Model

Coding Challenge: Make Predictions and Plot Model

Solution Review: Make Predictions and Plot Model

Quiz: Classification

4.

Clustering

7 Lessons

Build a foundation in clustering techniques using PyCaret, from setup to model evaluation.

Clustering with PyCaret

Exploratory Data Analysis

Getting Familiar with the PyCaret Environment

Building the Model

Coding Challenge: Create k-Means Model

Solution Review: Create k-means Model

Quiz: Clustering

Customer Segmentation with K-Means Clustering

Project

5.

Anomaly Detection

7 Lessons

Map out the steps for building and evaluating anomaly detection models using PyCaret.

Anomaly Detection with PyCaret

Exploratory Data Analysis

Getting Familiar with the PyCaret Environment

Building the Model

Coding Challenge: Create Local Outlier Factor Model

Solution Review: Create Local Outlier Factor Model

Quiz: Anomaly Detection

6.

Natural Language Processing

9 Lessons

See how it works to conduct NLP analysis, topic modeling, and classification with PyCaret.

Natural Language Processing with PyCaret

Exploratory Data Analysis

Initializing the NLP Environment

Creating and Assigning the Topic Model

Initializing the Classification Environment

Creating the Classification Model

Coding Challenge: Plot Topic Distribution

Solution Review: Plot Topic Distribution

Quiz: Natural Language Processing

7.

Deploying a Machine Learning Model

7 Lessons

Master the steps to deploy machine learning models using Streamlit, build web apps, and visualize data.

Insurance Charges Prediction Web App

Iris Classification Web App

Deploying an Application to Streamlit Cloud

Coding Challenge: Visualize Dataframe as Line Chart

Solution Review: Visualize Dataframe as Line Chart

Quiz: Streamlit

8.

Conclusion

1 Lessons

Sharpen your skills in machine learning basics and explore further with PyCaret and Streamlit.

Closing Thoughts

9.

Appendix

1 Lessons

Get started with installing PyCaret and its dependencies for efficient machine learning.

Installation of PyCaret

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Course Author:

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