Free 100 Days of Data Science Master Classes - 💫 Machine Learning Data Science 21: Feature Construction & Feature Splitting #theiscale #datascience

🚀 Welcome to Day 21 of our Machine Learning series with @theiScale GitHub Link for Day 21 Notes: https://github.com/TheiScale/30_Days_Machine_Learning/tree/main/Day21 ✨ 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 21 of our Data Science Journey! In this session, we delve into the fascinating world of outlier detection and management techniques: Feature Construction and Feature Splitting. 📊 Join us as we explore: Feature Construction and Feature Splitting are techniques commonly used in data preprocessing and feature engineering within machine learning and data analytics. Feature Construction: Involves creating new features (variables) from existing ones to enhance the performance of machine learning models. This process transforms raw data into a format that is more suitable for modeling. Feature construction can include various methods: * Polynomial Features * Interaction Terms * Encoding Categorical Variables * Feature Scaling Feature splitting refers to the process of dividing a single feature into multiple features based on certain criteria. This technique is particularly useful for handling complex or composite features that contain multiple pieces of information within a single attribute. Feature splitting methods include: Text Parsing * Date-Time Decomposition * Feature Discretization * Spatial Decomposition 🔗 Ready to elevate your data science skills? Join us live at this link and take your understanding of outliers to the next level! Don't miss out on this insightful session packed with practical insights and techniques. Hit the link, tune in, and let's master outlier detection together! 📈💡 #DataScience #machinelearning #machinelearningfullcourse #career #viral 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 #30DaysOfML #theiscale #iscale #dataanalytics #skills 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!