AI Free Basic Course Lecture 11 - Data Preprocessing Live Session

Course Feature
  • Cost
    Free
  • Provider
    Youtube
  • Certificate
    No Information
  • Language
    English
  • Start Date
    No Information
  • Learners
    No Information
  • Duration
    No Information
  • Instructor
    Irfan Malik
Next Course
2.5
10,150 Ratings
This AI Free Basic Course Lecture 11 - Data Preprocessing Live Session by Muhammad Irfan Malik is the perfect opportunity for new learners to get an introduction to data preprocessing for machine learning. The lecture covers topics such as data cleaning, feature engineering, and data transformation. Learners can also find additional resources on Muhammad Irfan Malik's social media accounts, including Facebook, Instagram, LinkedIn, Twitter, TikTok, and WhatsApp Community. Don't miss out on this great opportunity to learn more about data preprocessing for machine learning.
Show All
Course Overview

❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 27th, 2023]

Muhammad Irfan Malik's AI Free Basic Course Lecture 11 - Data Preprocessing Live Session offers new learners an introduction to data preprocessing for machine learning. The lecture covers topics such as data cleaning, feature engineering, and data transformation. Learners can also find additional resources on Muhammad Irfan Malik's social media accounts, including Facebook, Instagram, LinkedIn, Twitter, TikTok, and WhatsApp Community.

Show All
Recommended Courses
intro-to-trifacta-clean-your-data-quickly-and-easily-4964
Intro to Trifacta: Clean Your Data Quickly and Easily
4.3
Udemy 766 learners
Learn More
This course provides a comprehensive introduction to Trifacta, a data preparation tool that can help users quickly and easily clean their data. It covers the basics of Trifacta, including how to use its transforms and functions, as well as common pitfalls to avoid. Learners will also gain an understanding of why data preparation is so important and how Trifacta Wrangler can help save time and give them a competitive edge. With this course, users can quickly and easily clean their data and gain a competitive edge.
excel-data-cleaning-fundamentals-4965
Excel Data Cleaning Fundamentals
3.9
Udemy 105 learners
Learn More
This Excel Data Cleaning Fundamentals course is perfect for new learners who want to learn how to detect and fix errors in datasets imported into Excel for analysis. It provides step-by-step instructions, follow-along exercises, case study exercises, and quizzes to teach learners how to use basic to advanced Excel functions, concepts, and techniques in a fast and efficient way. No need for macros or any Excel add-on tools - the techniques taught in this course are simple yet effective. Click now to start learning and become an Excel data cleaning expert!
spss-cleaning-and-preparing-your-data-for-accurate-analyses-4966
SPSS: Cleaning and Preparing Your Data For Accurate Analyses
3.9
Udemy 144 learners
Learn More
This course on SPSS: Cleaning and Preparing Your Data For Accurate Analyses is designed to help new learners understand the importance of data cleaning and preparing data for accurate analyses. It provides step-by-step examples, PowerPoint slides, and other helpful supporting materials to help learners gain the technical skills needed to conduct rigorous research studies. It is suitable for doctoral students, undergraduate students, early career researchers, and those who wish to learn about the process of data cleaning. Learn how to anticipate cleaning before or during collection, understand why not all missing data are the same, the importance of recording the cleaning process and decisions, and what part of cleaning to report in a manuscript. Click now to get started!
data-cleaning-preprocessing-in-python-for-machine-learning-4967
Data Cleaning & Preprocessing in Python for Machine Learning
4.4
Udemy 57 learners
Learn More
This course provides learners with the skills and knowledge necessary to clean and preprocess data in Python for Machine Learning. It covers a range of data cleaning techniques, such as imputing missing values, feature scaling, fixing data types issues, and more. Through lectures, quizzes, and Jupyter notebooks, learners will gain the skills to deal with real world raw data and be able to detect and remove outliers, clean and preprocess textual data for NLP, and use the Apply Lambda method for advanced cleaning functions. Click this course to gain the skills and knowledge to clean and preprocess data in Python for Machine Learning.
Favorites (0)
Favorites
0 favorite option

You have no favorites

Name delet