kshitijshresth.hashnode.devMathematical TransformersWhen dealing with data, transforming columns using mathematical functions can significantly improve the performance of machine learning models. By applying various transformations, we can adjust the probability density function of our data to approxi...Sep 29, 2024·6 min read
kshitijshresth.hashnode.devPipelining in Machine Learning: Streamlining Your WorkflowIn machine learning, effective data handling and model training are crucial for building robust and scalable models. One powerful way to streamline this process is through pipelining. Pipelining automates the workflow, ensuring that data pre-processi...Sep 1, 2024·5 min read
kshitijshresth.hashnode.devFeature Engineering: A Key Step in Building Effective Machine Learning ModelsBefore feeding raw data into a machine learning model, we need to process and transform it to create features that the model can understand and learn from. This process is known as feature engineering. It involves several steps, each aimed at enhanci...Aug 24, 2024·8 min read
kshitijshresth.hashnode.devExploring Data: Univariate, Bivariate, and Multivariate AnalysisUnivariate Analysis If we have data with multiple columns we know that each column represents a different variable. Independent analysis of each column is called univariate analysis. This type of analysis helps us understand the distribution, central...Jul 3, 2024·4 min read
kshitijshresth.hashnode.devDecoding Docker: Navigating the ContainerA single server would typically host only one application, leading to increased hardware demands that were environmentally unfriendly and consumed significant space in server rooms. VMware addressed this issue by introducing virtual machines (VMs), w...Jun 19, 2024·3 min read
