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Dr Venugopala Rao Manneni
Dr Venugopala Rao Manneni

Dr Venugopala Rao Manneni

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Category: Bio statistics

Cohen’s Kappa coefficient

January 11, 2022April 11, 2022
Venugopal Manneni
Bio statistics

Need:  In any classification analysis, if you want to   measure the overall agreement between predicted and observed levels this measure will be very useful. Unlike  Precision and Recall, and F1 score , Kappa co efficient considers  perfect agreement between  both 

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Meta-Analysis

January 10, 2022April 11, 2022
Venugopal Manneni
Bio statistics

Need:    Whenever  you want to combine & analyze several trials and also  you want to estimate the summary treatment effect based on various trails or  you want to obtain a finding that is beyond (single) effects found in different studies,

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Bonferroni Correction

January 3, 2022April 11, 2022
Venugopal Manneni
Bio statistics

Need: When conducting multiple analyses on the same dependent variable, the chance of committing a Type I error increases, thus increasing the likelihood of coming about a significant result by pure chance. To correct for this, or protect from Type

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Dimensionality Reduction Techniques

January 2, 2022April 11, 2022
Venugopal Manneni
Bio statistics

Need The number of input variables or features for a dataset is referred to as its dimensionality. Dimensionality reduction refers to techniques that reduce the number of input variables in a dataset. More input features often make a predictive modeling

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Clustering algorithms for segmentation

January 2, 2022April 11, 2022
Venugopal Manneni
Bio statistics, Learning data science

Need Cluster analysis is widely adopted by various applications like image processing, neuroscience, economics, network communication, medicine, recommendation systems, customer segmentation, to name a few. Additionally, clustering can be considered the initial step when dealing with a new dataset to

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Feature Engineering

October 28, 2021April 11, 2022
Venugopal Manneni
Bio statistics

Need: Feature engineering is one of the most important skills needed in data science and machine learning. It has a major influence on the performance of machine learning models and even the quality of insights derived during exploratory data analysis (EDA). What

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Feature Selection

October 25, 2021April 11, 2022
Venugopal Manneni
Bio statistics

Need: Feature selection, the process of finding and selecting the most useful features in a dataset, is a crucial step of the machine learning pipeline. Unnecessary features decrease training speed, decrease model interpretability, and, most importantly, decrease generalization performance on

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How to handle the outliers

October 22, 2021April 11, 2022
Venugopal Manneni
Bio statistics

Need  : As outliers impact the statistical analysis , once they detected using univariate or multivariate outlier detection methods , we need to treat them properly  before using them in the  Analysis. Approach:   The following are the some of the

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Outlier Detection

October 22, 2021April 11, 2022
Venugopal Manneni
Bio statistics

Need: An outlier is a data point in a data set that is distant from all other observations. A data point that lies outside the overall distribution of the dataset. Outliers can drastically change the results of the data analysis

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The Science of finding the sample Size

October 21, 2021April 19, 2023
Venugopal Manneni
Bio statistics

Need:   Before conducting any experiment, we need to select the appropriate and optimum sample size to make sure sample should be representative of the population and the finding are generalized to the population. Also, optimum sample size required To Allow

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About Me

 

A doctor in statistics from Osmania University, Venugopala Rao Manneni is an experienced data analyst who has over 15 years of work experience in a diverse areas of verticals such as manufacturing, service, media, telecom, retail, pharma and education. Prior to Juxt-Smart Mandate, he has worked with reputed organizations like TNS India (Kantar, WPP) and NFO MBL and served clients across UK, France and Asia Pacific region… read more

Recent Post

  • The Evolution of Analytics: From Hard-Coded Scripts to Conversational AI
  • Transforming Healthcare with Gen AI: Enhancing Efficiency and Patient Care
  • Harnessing Multi-Agent Systems for Innovations in Pharma and Healthcare
  • Unlocking the Future: How Multiagent Systems Mirror Human Intelligence Using Advanced AI Concepts
  • Generative AI Glossary

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