Category: Tech Notes
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ML Concepts – Understanding the Dataset
What is Dataset? Usually dataset refers to the data that you have, it is combined of both dependent as well as independent variables. In ML
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ML Concepts – Understanding the Dataset
What is Dataset? Usually dataset refers to the data that you have, it is combined of both dependent as well as independent variables. In ML
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ML Concepts – Classification vs Regression
Classification Regression – Classification is the task of predicting a discrete class label.– In a classification problem data is labelled into one of two or
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ML Concepts – Classification vs Regression
Classification Regression – Classification is the task of predicting a discrete class label.– In a classification problem data is labelled into one of two or
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ML Concepts – Encoding Categorical Data
There are two types of encoding the Categorical Data: One Hot Encoding Label Encoding or Target Encoding Example: One Hot Encoding – 100, 101, 010
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ML Concepts – ROC vs AUC
ROC (Receiver Operating Characteristic) AUC (Area Under Curve) – ROC Curve represents relationship between Recall and Specificity. – It is a performance measurement for the
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ML Concepts – ROC vs AUC
ROC (Receiver Operating Characteristic) AUC (Area Under Curve) – ROC Curve represents relationship between Recall and Specificity. – It is a performance measurement for the
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ML Concepts – What is Feature Scaling?
Feature Scaling Feature scaling is technique that will get mean and standard deviation of your feature in order to scale your feature. If we apply
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ML Concepts – Feature Selection – Filter Method vs Wrapper Method
Feature selection is a critical step that affects the ML model performance directly. Reducing the number of features has two main benefits in developing machine
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ML Concepts – Some common questions need to be answered when you start Data Processing
When you are doing any research for any purpose or performing any task related to Data Processing, you need to understand few questions before start
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About the Author
Dr Pranay Jha
Dr. Pranay Jha is a Cloud and AI Consultant with 18+ years of experience in hybrid cloud, virtualization, and enterprise infrastructure transformation. He specializes in VMware technologies, multi-cloud strategy, and Generative AI solutions. He holds a PhD in Computer Applications with research focused on Cloud and AI, has published multiple research papers, and has been a VMware vExpert since 2016 and a VMUG Community Leader.
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