All About Statistics For Data Science
Lets explore the potential misuse of statistics, the causes of such misuse, and the consequences of it. Introduction Statistics is a field of study that deals with the collection, analysis, interpretation, presentation, and organization of data. It is a vital tool for making informed decisions in various fields, including science, business, and policy-making. However, statistics …
Statistics can be misused or misunderstood, leading to incorrect conclusions or decisions.Lets explore explore the limitations of statistics and the importance of understanding these limitations. Introduction Statistics is a branch of mathematics that deals with the collection, analysis, interpretation, presentation, and organization of data. It is often used in research to understand patterns, trends, and …
Let’s explore some basics of Hypothesis Testing for the beginners, with some real life business case. Introduction to Hypothesis Testing Well, Hypothesis testing is a statistical method used to evaluate the credibility of a hypothesis by examining the evidence that supports or refutes it. It is a critical tool used by companies and researchers around …
Yes let’s touch on the most important topic in hypothesis testing, with some real-life examples and how to implement it in Python Introduction In statistics, the term statistical significance refers to the likelihood that a result or relationship observed in a sample data is real or true, and not due to chance. Statistical significance is …
All You Need To Know About Statistical Significance Read More »
Let’s learn about math, interpretaion and implimentaion in python for Kolmogorov-Smirnov(KS) statistic Introduction to classification Classification is a machine learning technique that involves predicting the class or category to which an input belongs. For example, a classification model might take as input an image of a person’s face and output the predicted identity of the …
Ultimate Guide For KS Statistic a CLASSIFICATION Metrics Read More »