Machine Learning Book Classification

Machine Learning Book Classification, available at Free, has an average rating of 3.85, with 9 lectures, based on 26 reviews, and has 4754 subscribers.

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You will learn about How to use Python Pandas for loading dataset Creating the model in Supervised machine learning Use pickle to dump the model and vectorizer in the disk Deploy machine learning model on Django This course is ideal for individuals who are Python Developers interested with machine learning It is particularly useful for Python Developers interested with machine learning.

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Summary

Title: Machine Learning Book Classification

Price: Free

Average Rating: 3.85

Number of Lectures: 9

Number of Published Lectures: 9

Number of Curriculum Items: 9

Number of Published Curriculum Objects: 9

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

How to use Python Pandas for loading dataset

Creating the model in Supervised machine learning

Use pickle to dump the model and vectorizer in the disk

Deploy machine learning model on Django

Who Should Attend

Python Developers interested with machine learning

Target Audiences

Python Developers interested with machine learning

Become Artificial Intelligence Engineer.

This is a step-by-step course on how to create book classification using machine learning. It covers Numpy, Pandas, Matplotlib, Scikit learns, and Django, and at the end predictive model is deployed on Django. Most of the things machine learning beginners do not know is how they can deploy a created model. How to put created model into the application? The training model and get 80%, 85%, or 90% accuracy does not matter. As Artificial Intelligence Engineer you should be able to put created model into the application.

Actually, learning how to deploy a Machine Learning model created by machine learning is a big win for you and is a motivating effect towards improving, embracing, and learning machine learning. The piece me off when I hear people saying Artificial Intelligence is not really. It is just a theoretical study. Let’s learn together how to deploy models, solve people’s problems and change people’s minds about Artificial Intelligence.

At the end of this course, you will become Artificial Intelligence by your ability to put created models into the application and solve people’s problems. Not only that you will be exposed to a few concepts of Django which are Python web framework and current trending web framework. By understanding Django, you will be able to deploy the previously created model you could not in the previous time.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Project Demonstration And Description

Chapter 2: Loading Datase And Exploration

Lecture 1: Loading Dataset

Lecture 2: Data Exploration

Chapter 3: Feature Extraction And Fit The Model

Lecture 1: Feature Extraction And Split Dataset

Lecture 2: Fit The Model And Checking Accuracy

Chapter 4: Making Predictions

Lecture 1: Making Prediction Books Phrase

Lecture 2: Dump And Load The Model

Lecture 3: Making Prediction of Books

Chapter 5: Model Deployment

Lecture 1: Deploying Model On Django Framework

Instructors

Noel Moses Mwadende
Machine Learning, Cybesecurity and Web Development

Rating Distribution

1 stars: 1 votes

2 stars: 2 votes

3 stars: 7 votes

4 stars: 6 votes

5 stars: 10 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!