Machine Learning Modeling for Text Data in Python

This course explores various aspects of text data and classifies them according to their content using various machine learning algorithms.

  • icon-videos 1 Video
  • icon-data 1 Coding Case
  • icon-reading 1 Reading
  • icon-quiz 1 Quiz
ML Models for Text Data in Python
  • 3 bar graph
    Difficulty: Advanced

    Prior education or professional experience required

  • Asset 1
    Duration: Approximately 6 hours

Course Overview

  • Text data in the form of Emails, customer feedback, clothing/food/product reviews, tweets etc are captured in huge numbers every day. With the availability of the internet to large masses, fake news & spam texts are causing a great threat to individuals on reliability and trust.
  • It is important to analyze text data and make decisions accordingly. Text classification is the process of grouping texts into various categories based on their content.
  • This course analyzes text data and categorizes it into classes like spam/not-spam , real/fake etc. using different machine learning algorithms in Python.
  • Gain practical experience by applying the knowledge and coding skills on real-world based business scenarios.

What’s included

icon-lifetime-access

Lifetime Access

Access this project for life once completed

icon-course-format

Flexible Scheduling

Start learning online immediately, at your own pace

icon-desktop

Desktop Only

We recommend completing this project on a desktop

Skills you will learn

Text Pre-Processing

Text Data Vectorization

Applying Classification Models

Ensemble Methods

Hyperparameter Tuning

Model Validation

Text Analytics

Model Building

Model Evaluation

Vectorization

Ensemble Methods

Associated Learning Tracks

Syllabus

This module introduced the learners to ML modeling for text data and delivers content around ML algorithms and their implementation.

How it Works

Learn new skills that will boost your career by enrolling in courses across data analytics, data science, ML and AI. These courses will utilize readings, videos, quizzes, data cases, and even coding exercises to teach you skills and concepts in a way that will solidify your new knowledge for hands-on application.

With our hands-on projects, you will take your newly learned skills along with our 750+ low-code/no-code functions and embedded coding console to complete milestone-based projects. Once completed, you will have effectively applied new skills and concepts to real-world data cases that can be translated directly into your career.

Complete assessments and track your progress in real-time to benchmark your proficiency in relation to key functional areas. As you progress through your courses, our patented platform will utilize ML and AI to record and analyze your inputs and output to provide active feedback and recommendations that will help you learn more effectively than the standard Letter Grade system used today.

Complete courses to earn sharable certificates and badges. These awarded items will be look great in your portfolio as you showcase your skills and project experience to employers and colleagues.

“Rolai provides contextual upskilling opportunities … on one single platform.”

Sundar Ramamoorthy
Managing Director of Solutions.AI, Global Products & Delivery Lead at Accenture

“An excellent tool for anyone who wants to quickly learn the ropes.”

Sanket Kawde
Head Data and Analytics at CitiBank India

“Rolai is the best program available for someone looking to enhance their skills”

Connor McEachron
Planning & Analytics @ Brooks Brothers

“Great way to learn data analytics and data science”

Balaji Reddy
Manager – Applications Development

“The courses were excellent and covered topics that I didn’t expect”

Aadarsha G
Student At Ohio Wesleyan University
All the Most Frequently Asked Questions

What People Are Asking About Data Education

Rolai’s patented process provides a personalized learning process for each user. Rolai goes deeper than simply learning concepts and testing your skills. At Rolai, learners can apply their skills to actual industry use cases and projects.

Our courses include readings, videos, quizzes, and hands-on data cases that are completed using our virtual lab; give learners an applied learning experience.

No additional tools are needed to begin learning with Rolai. Our virtual lab contains the necessary data workspace and an embedded coding console.

  • We have internal SMEs across industries and domains that we work with to develop relevant content and assure quality datasets and problem statements.
  • We also work with enterprises and universities to develop new content directed towards their industry and expertise.