PinnedAshish Kumar SinghOutliers — What are they? How can we find them? How to deal with them?Hawkins (1980) defines an outlier as an observation that deviates so much from other observations as to arouse suspicion that it was…Jun 17, 20213Jun 17, 20213
Ashish Kumar SinghLiquid Foundation Models (LFMs): A Simple ExplanationImagine you have a super-smart computer brain that can understand and create text, recognize images, and even process video and audio…Oct 14Oct 14
Ashish Kumar SinghGenAI Models on your PC using OllamaRun the Large Language Models directly on your Windows/Mac/Linux systemSep 28Sep 28
Ashish Kumar Singh5 Steps to Jumpstart Your Journey to Becoming a Data Scientist: A Comprehensive GuideStep 1 : Learn Python Programming LanguageApr 22, 2023Apr 22, 2023
Ashish Kumar SinghHypothesis Testing for Beginners — Simplest ExplanationHypothesis testing is an important tool for Data Scientists and Researchers that allows them to make decisions based on evidence. In this…Apr 20, 2023Apr 20, 2023
Ashish Kumar SinghP Value, Significance Level, Confidence Interval and Confidence LevelP-ValueFeb 10, 2022Feb 10, 2022
Ashish Kumar SinghMeasures of Variability — Range, IQR, Variance and Standard DeviationAgenda 1. What is Variability? 2. Range 3. Interquartile Range 4. Variance 5. Standard Deviation 6. What’s the best measure of variability?Dec 26, 2021Dec 26, 2021
Ashish Kumar SinghInterpretation of Measures of Shape: Skewness & Kurtosis:Agenda: 1. What is Skewness? 2. Types of Skewness 3. Interpretation of Skewness 4. How Do We Transform Skewed Data? 5.What is Kurtosis? 6…Dec 23, 2021Dec 23, 2021
Ashish Kumar SinghNormal Distribution — The heart of Data Scientist’s Statistical JourneyAgenda: 1. Normal Distribution 2. It’s Importance 3. Parameters — Mean & Standard Deviation 4. Properties 5. Standard Scores 6…Dec 23, 20213Dec 23, 20213
Ashish Kumar SinghStatistical Concepts for an AnalystAgenda 1. Sampling 2. Sample Size Estimation 3. Descriptive Statistics 4. Few FAQsAug 16, 20211Aug 16, 20211
