Скачать или смотреть Unit 4 Data and Analysis | Excercise Long Question # 6 | Class 10 Computer Science | Fbise| NBF

Welcome to this Class 10 Computer Science lecture based on the FBISE NBF syllabus (Unit 4: Data and Analysis).
In this video, we will discuss Long Question #6 — What are the potential consequences of poor data quality on model performance?

You will learn:
✅ What poor data quality means
✅ How bad data affects model accuracy and predictions
✅ Real-life examples of wrong decisions due to poor data
✅ Why clean and correct data is essential for reliable results

This video will help you understand the concept easily and prepare well for your board exams.

📚 Topic Covered: Data and Analysis – Poor Data Quality
🎯 Class: 10th (FBISE)
🏫 Book: NBF (National Book Foundation)

#Class10Computer
#unit4
#Dataandanalysis
#FBISE
#NBFBook
#DataAndAnalysis
#PoorDataQuality
#ModelPerformance
#ComputerScienceClass10
#FBISEBoard
#DataScienceBasics
#MachineLearningConcepts
#longquestions
#Excercise
#DataQualityIssues
#CleanData
#DataPreparation
#ComputerNotes
#FBISEClass10Computer
#LongQuestion6
#DataAnalysisConcepts
#DataCleaning
#DataAccuracy
#ModelAccuracy
#AIConceptsForBeginners
#Class10Lessons
#ExamPreparation
#FBISE2025
#ComputerTeacher
#DataModeling
#QualityData
#DataErrors