Data Preprocessing on a Real-World Problem

  • BeginnerLevel

  • 454+Students Enrolled

  • 1 HrDuration

  • 4.5Average Rating

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About this Course

  • This free course on data preprocessing on a real-world problem statement offered by Analytics Vidhya.
  • The course aims to help beginners navigate data preprocessing and prepare data for modeling.
  • By the end of the course, participants will have mastered techniques like EDA and Missing Value Treatment.

Learning Outcomes

Data Cleaning & Prep

Understand techniques for handling missing & noisy data.

Feature Engineering

Enhance models with feature extraction & transformation.

Preprocessing Tools

Learn key libraries for preprocessing & data handling.

Who Should Enroll

  • Professionals aiming to enhance data preprocessing skills and improve machine learning model performance.
  • Students and data enthusiasts looking to build a foundation in data preprocessing and feature engineering.
  • Anyone wanting to master data cleaning, transformation, and preparing data for machine learning.

Course Curriculum

Explore a comprehensive curriculum covering Python, machine learning models, deep learning techniques, and AI applications.

tools

  1. 1. Introduction to Problem Statement

  2. 2. ML-workflow

  3. 3. Understanding the Combined Data

  4. 4. Treating Missing Values

  5. 5. Outlier Detection and Treatment

  6. 6. Preparing the Dataset for Supervised and Unsupervised Models

  7. 7. Preparing the Dataset for Supervised and Unsupervised Models

Meet the instructor

Our instructor and mentors carry years of experience in data industry

company logo
Kunal Jain

Founder & CEO, Analytics Vidhya

Kunal has 15+ years of experience in the field of Data Science and is the founder and CEO of Analytics Vidhya- the world's 2nd largest Data Science community.

Get this Course Now

With this course you’ll get

  • 1 Hour

    Duration

  • Kunal Jain

    Instructor

  • Beginner

    Level

Certificate of completion

Earn a professional certificate upon course completion

  • Globally recognized certificate
  • Verifiable online credential
  • Enhances professional credibility
certificate

Frequently Asked Questions

Looking for answers to other questions?

This course is designed for beginners, data analysts, and aspiring data scientists who want to learn data preprocessing techniques for machine learning.

Basic knowledge of Python and data handling with libraries like Pandas and NumPy will be helpful but is not mandatory.

Yes, you will receive a certificate of completion once you finish all the course modules and assessments.

You will have lifetime access to the course materials, including any future updates.

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