Deepak Kumar Mohantykumarblog-1.hashnode.dev·Oct 13, 2024Understanding Covariance, Correlation, and Collinearity: A Comprehensive GuideIn the world of statistics and data analysis, understanding how different variables interact is crucial for building effective models. Three important concepts that help us analyze these relationships are covariance, correlation, and collinearity. In...Discusscollinearity
Sai Prasanna Maharanasaimaharana.hashnode.dev·Oct 5, 2024What is Outliers and Treatment of Outliers ?An outlier is a data point that differs significantly from other observations in a dataset. Impact of Outliers Outliers can have a dramatic effect on the data analysis process: Skew the data distribution and impact the mean and standard deviation. ...DiscussData PreprocessingMachine Learning
Kshitiz Ranakshitizrana.hashnode.dev·Oct 23, 2023Statistics For Data Science(Week1) 1 Statistics -> Art of learning from data -> Concerned with collection of data -> Subsequent Description and Analysis 1.1 Population: Total collection of all the items/elements that we are interested in. 1.2 Sample: Subset of the population u...Discuss·2 likes·32 readsData Science course
Bella Ekebellaeke.hashnode.dev·May 26, 2023Essential Statistical Inference Concepts for Data-Driven Decision MakingIntroduction In today's data-driven world, statistical inference plays a crucial role in extracting valuable insights from raw data. It enables us to make informed decisions, validate hypotheses, and draw conclusions about entire populations based on...Discuss·33 readsstatistical inference
