Machine Learning for Data Science Part 4 | 8 hours Full Course in Hindi | The iScale #datascience

Github Link for Notes: https://github.com/TheiScale/30_Days_... Connect in WhatsApp with us: https://wa.me/917880113112 Download Our Android App 📲- https://play.google.com/store/apps/de... Python Lecture | How to Install Jupyter Notebook-    • Python Lecture | How to Install Jupyter No...   ➖➖➖➖➖➖ ✨ Kickstart your career in a Data Analyst. Apply today! - https://www.theiscale.com/DataAnalyti... Timestamps: 00:00 - Introduction of Machine Learning Full Course - Part 3 07:25 - Outliers | How to Treat & Detect | Advantage & Disadvantages 01:26:34 - Z Score Technique in outliers | Apply SND Method & Z Score Calculation 02:39:16 - IQR (Interquartile Range) Technique in Outliers 03:50:26 - Percentile method technique & Winsorization in Outliers 05:05:58 - Feature Construction & Feature Splitting 06:12:32 - Feature Selection | Feature Extraction | Curse of Dimensionality Topic Content: Day: 17 Outliers | How to Treat & Detect | Advantage & Disadvantages • What are the outliers in machine learning? • When is Outlier Unsafe? • What role play anomaly detection algorithms in outliers? • Effect of Outliers on ML Algorithms • How to treat Outliers? • How to detect Outliers? • Techniques to detect & remove Outliers Day: 18 Z Score Technique in outliers | Apply SND Method & Z Score Calculation • Outliers removal using Z score treatment • Z Score is applicable for normal distribution • What is Standard deviation? • Standard Normal Distribution (SND) • Why are Z-Scores Important? • How to Calculate “Z-Score”? • What is 68 - 95- 99 Rule? • Practice Problems for Z-Scores Calculation Day: 19 IQR (Interquartile Range) Technique in Outliers • What is Boxplot Distribution? • What are the first quartile and third quartile in the box plot? • What is the five-number summary in the box plot? • What is Interquartile Range IQR? • IQR Technique used for skewed distribution? • IQR Percentile Rule. Day: 20 Percentile method technique & Winsorization in Outliers • What is a percentile method? • Outliers example with percentile • Trimming with percentile outlier’s method • What is the Winsorization in outliers? • Capping with percentile outlier’s method • What is the difference between trimming and winsorizing outliers? Day: 21 Feature Construction & Feature Splitting • What is feature construction in machine learning? • What is feature splitting in machine learning? • What is a purpose of feature construction and splitting? • Technique used for feature construction & feature splitting? • Uses and advantages for construction and splitting? • What result shown in the output? Day: 22 Feature Selection | Feature Extraction | Curse of Dimensionality • What is “Feature Selection” in machine learning? • Why “Feature Selection” is Important? • Type of Feature Selection Models. • What is “Feature Extraction” in machine learning? • Discuss about “Curse of Dimensionality” concept. ➖➖➖➖➖➖ ❇️ Explore our Job Oriented Courses: https://www.theiscale.com/explore-course ➖➖➖➖➖➖ ❇️ For Jobs Updates on Data Analyst Profile, Join our WhatsApp Group- https://whatsapp.com/channel/0029VaB5... ➖➖➖➖➖➖ 💢 For Any Further Queries or Doubts? Contact- 7880-113-112 (Student Helpline Number) ❇️ WhatsApp Now: https://wa.me/917880113112 ➖➖➖➖➖➖ ✳️ Join Telegram Channel- https://t.me/TheiScale #dataanalytics #datascience #machinelearning #freecourse #python #pythonprogramming #freeclasses #artificialintelligence #hindi #courseinhindi #job #part1 #9hoursstream #iscale #industrieshelpinghands #machinelearning #artificialintelligence #generativeai #GenerativeAIAWS #aws #amazon #amazonwebservices #techtrends2024 #innovation #aiinnovations #futuretech #ai #machinelearning #theiscale