Machine Learning Vtu Important Questions| BCM601
Lecture 30: Hypothesis testing | BCM601|BDS602|BCS602|VTU
Lecture 18: Problems |COVARIANCE | CORRELATION|PEARSON CORRELATION COEFFICIENT|BDS602|BCS602|BCM601
Lecture 42: What is Computation learning theory(CoLT)| BDS602|BCM601|BCS602|BAI602|PAC|VC dimension
Lecture 9: DATA STORAGE AND REPRESENTATION|BCM601|BDS602|BCS602
Lecture 16: SPECIAL UNIVARIATE PLOTS|STEM,LEAF PLOT|BCM601|BDS602|BCS602|VTU|MACHINELEARNING
Lecture 10: Types of Big Data Analytics |BCM601|BDS602|BCS602|VTU
Lecture 53: Math behind Linear regression model |Module 3|VTU|bcm601|bds602|bcs602|bai602
Lecture 55: Problem on Linear regression|machinelearning|VTU|bds602|bcs602|bcm601|bai601
Lecture 42: Classical vs adaptive ML systems|Learning types|bcm601|bds602|bai602|bcs602
Lecture 19: Find IQR | IQR|BCM601|BCS502|BDS602|module1
Lecture 68: NAÏVE BAYES THEOREM | Zero probability error| Laplacian correction| BCM601|BDS602|BCS602
💥 isurve.ge 👉 ხის საბურღი ბიტების 6 ცალიანი ნაკრები UYUSTOOLS BCM601
Lecture 6: Machine Learning Applications | BCM601 | BDS602 | BCS602 | VTU|BAI602
Lecture 44: Concept Learning|BCM601|BDS602|BCD602|BAI602|MachineLearning|VTU
Lecture 31: Z-testing | BCM601|BDS602|BCS602
Lecture 1: Module 1 Need for Machine Learning , Knowledge Pyramid | BCS602 | BDS602| BCM601|
Lecture 14: UNIVARIATE DATA ANALYSIS & VISUALIZATION| bar |pie chart|histogram|bcm601|bds602|bcs602