10.22 IQR, Percentile, Box Plot Explained | Statistics & Probability

In this video, we learn about the Interquartile Range (IQR), Percentiles, and Box Plots — powerful tools for understanding data distribution and detecting outliers. You’ll understand how to calculate Q1, Q2 (Median), Q3, and interpret IQR, min, max, and outliers visually through the box plot. This Statistics & Probability playlist is also helpful for GATE DA/CS and other streams.

📌 Topics Covered in this Video:
1. Introduction to Interquartile Range (IQR) & Box Plot Explained
2. First Quartile (Q1), Median (Q2), Third Quartile (Q3) in Box Plot
3. Interquartile Range (IQR) and Outlier Detection using Box Plot
4. Minimum (min) and Maximum (max) in Box Plot
5. Calculating Q1, Q2, Q3, IQR, min and max for a sample dataset

Helpful For:
1. Cracking AI / ML / Data Science interview rounds at top tech companies
2. Building a deeper understanding of core AI, ML concepts
3. Preparing for GATE (DA / CS / Other streams) and other related competitive exams

Our Playlist:
- Probability & Statistics for ML - Hindi: https://youtube.com/playlist?list=PLVyM62CSsh3WmT4vnxhtiPLp1ZNxfgqNQ&si=PMc5nI1LIg-R2BaU

#IQR #BoxPlot #Percentiles #StatisticsInHindi #DataVisualization #Outliers #MachineLearning #StatisticsForML #DataScienceInHindi #StatisticsTutorial #StatisticsForBeginners #InterquartileRange #exploratorydataanalysis #DecodeAiML

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Видео 10.22 IQR, Percentile, Box Plot Explained | Statistics & Probability канала Decode AiML