Sankalp Shrivastava5 Methods To Deal With Imbalanced Data In Machine LearningIn machine learning practices, it is very common to face imbalanced datasets while doing a classification task. An imbalanced dataset is a…Oct 7, 2022Oct 7, 2022
Sankalp ShrivastavaMachine Learning Component FrameworkMachine learning is a branch of artificial intelligence (AI) and computer science that focuses on using data and algorithms to imitate how…Jul 5, 2022Jul 5, 2022
Sankalp ShrivastavaMachine LearningMachine learning is a branch of artificial intelligence (AI) and computer science that focuses on using data and algorithms to imitate the…Jun 22, 2022Jun 22, 2022
Sankalp ShrivastavaRandom VariablesOftentimes in probability experiments, we are not interested in all the details of the experimental result, but rather are interested in…Apr 20, 2022Apr 20, 2022
Sankalp ShrivastavaProperties of Discrete Random VariablesOftentimes in probability experiments, we are not interested in all the details of the experimental result, but rather are interested in…Apr 20, 2022Apr 20, 2022
Sankalp ShrivastavaMeasure of DispersionSuppose you are working with a dataset that consists of marks of students of a class. Now you want to know about the average marks of the…Apr 8, 2022Apr 8, 2022
Sankalp ShrivastavaMeasures of Central TendencySuppose you are working with a dataset that consists of marks of students of a class. Now you want to know about the average marks of the…Apr 8, 2022Apr 8, 2022
Sankalp ShrivastavaPopulation and SampleWhat are population and sample in statistics ??Apr 6, 2022Apr 6, 2022