PinnedPublished inDataDrivenInvestorWhat is Bias-Variance Trade-off in Machine Learning?In the process of building a Predictive Machine Learning model, we always come across some types of error, either with training data or…Jan 4, 2021Jan 4, 2021
AWS QuickSight IssuesIn the process of recreating dashboards, you always come across some type of issues with tool’s functionality. Here, let’s understand some…Jun 9, 2022Jun 9, 2022
Published inAnalytics VidhyaKinesis Data Stream Working and Architecture — Part2In part1 you learned about AWS kinesis, its benefits, capabilities and use case. In this blog, you will learn high-level architecture of…May 28, 20221May 28, 20221
Published inAnalytics VidhyaWhat is AWS Kinesis? — Part1As a novice in AWS sometimes it's difficult to understand new terms and concepts for the first time. In this blog, you will learn what AWS…May 26, 20221May 26, 20221
Published inAnalytics VidhyaDifferent types of keys in DBMSWe are confused about the DBMS keys concepts as there are many different types of DBMS keys, and almost all are related to each other with…Jan 20, 2021Jan 20, 2021
Published inDataDrivenInvestorVanishing and Exploding Gradients in Neural NetworksIn this blog, you will understand why the Vanishing and Exploding Gradient problem happens. What are Vanishing and Exploding Gradient…Jan 17, 20212Jan 17, 20212
Published inAnalytics VidhyaWhat is a Confusion Matrix in Machine Learning?A Confusion matrix is an N x N matrix used for evaluating the performance of a classification model, where N is the number of target…Jan 4, 2021Jan 4, 2021
Classification Algorithm Part 1: Logistic Regression Using R LanguageWhat is Logistic Regression?Aug 28, 2020Aug 28, 2020
Regression Algorithm Part 6: Random Forest Regression Using R LanguageWhat is Random Forest Regression?Jul 31, 20201Jul 31, 20201
Regression Algorithm Part 5: Decision Tree Regression Using R LanguageWhat is Decision Tree Regression?Jul 30, 2020Jul 30, 2020
