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💫 Machine Learning for Data Science- 19: IQR (Interquartile Range) Technique in Outliers @theiScale
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Free 100 Days of Data Science Master Classes - 💫 Machine Learning for Data Science- 19: IQR (Interquartile Range) Technique in Outliers @theiScale

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What you'll learn

This course includes

  • 91.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

Summary

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🚀 Welcome to Day 19 of our Machine Learning series with @theiScale GitHub Link for Day 19 Notes: https://github.com/TheiScale/30_Days_Machine_Learning/tree/main/Day19 ✨ Kickstart your career as a Data Analyst. Apply today! - https://www.theiscale.com/DataAnalytic?analytics=13 ❇️ Explore our Job Oriented Courses: https://www.theiscale.com/explore-course ➖➖➖➖➖➖ 📱 For Any Further Queries or Doubts? Contact- 7880-113-112 (Student Helpline Number) For any query connect in WhatsApp with us: https://wa.me/917880113112 ➖➖➖➖➖➖ ✳️ Join Telegram Channel- https://t.me/TheiScale ✳️ Join WhatsApp Channel- https://whatsapp.com/channel/0029VaB5ekEKQuJQV572vi2c ➖➖➖➖➖➖➖ 🔗 Download App Google Play: https://play.google.com/store/apps/details?id=com.logixhunt.ihhpet&pli=1 Welcome to Day 19 of our 30 Days of Machine Learning journey for data science enthusiasts! In today's session, we delve into the fascinating world of outliers and explore the powerful technique of Interquartile Range (IQR) for outlier detection and treatment. Outliers, those data points that deviate significantly from the rest of the dataset, can skew our analysis and lead to misleading conclusions. Understanding and effectively dealing with outliers is crucial for robust and reliable machine learning models. In this video, we'll cover: • An overview of outliers and their impact on data analysis. • Introduction to the Interquartile Range (IQR) and its significance in outlier detection. • Step-by-step explanation of how to calculate the IQR and identify outliers using this method. • Practical examples demonstrating the application of the IQR technique in real-world datasets. • Strategies for handling outliers, including removal, transformation, or treating them as a separate category. By the end of this session, you'll have a solid understanding of the IQR technique and its role in identifying and managing outliers, empowering you to build more robust and accurate machine-learning models for your data science projects. Don't forget to subscribe to our channel and turn on notifications to stay updated on our daily machine learning tutorials. Let's continue our journey towards mastering machine learning together! #machinelearning #datascience #Outliers #IQR #30DaysOfML #theiscale #iscale #dataanalytics #skills #career Don't miss out on any of our daily videos in this series! Subscribe now and hit the notification bell to stay updated. Let's master data analysis together!

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