PinnedSoorya Narayan SatheeshMachine Learning Feature Selection made simpleFeature selection is a crucial step in machine learning to choose the most relevant and significant features for building a model.Dec 5, 2023Dec 5, 2023
Soorya Narayan SatheeshBuilding an ETL PipelineIn today’s data-driven world, organizations often need to integrate data from diverse sources such as SQL databases, CSV files, and API…Jun 13Jun 13
Soorya Narayan SatheeshTesting in Python simplified with PyTest libraryTesting is an indispensable part of software development, ensuring the reliability, functionality, and quality of code. Python developers…May 12May 12
Soorya Narayan SatheeshAutomating Map generation from Multi-polygon shapefiles using Python with GeoPandas and MatplotlibIntroduction:May 11May 11
Soorya Narayan SatheeshAutomating Testing in Python using Unittest frameworkIn today’s fast-paced software development landscape, ensuring the reliability and stability of our codebase is paramount. One of the most…Apr 26Apr 26
Soorya Narayan SatheeshEnd-to-End Machine Learning Deployment: From Model Training to Web Service Integration using Flask…In today’s data-driven world, deploying machine learning models as web services has become essential for real-world applications. This…Mar 31Mar 31
Soorya Narayan SatheeshExploring SQL: Window functions demystifiedWindow functions in SQL are powerful tools for performing calculations across a set of rows related to the current row within a query…Mar 21Mar 21
Soorya Narayan SatheeshSetting up Python Virtual Environments on Visual Studio Code in Windows 10Creating a virtual environment for running Python Flask applications on Visual Studio Code (VSCode) is crucial and all software engineers…Feb 22Feb 22
Soorya Narayan SatheeshExploring SQL: INNER JOIN and UNION DemystifiedIn the vast landscape of relational databases, mastering SQL (Structured Query Language) opens up powerful avenues for querying and…Jan 23Jan 23
Soorya Narayan SatheeshMastering Tensors in PyTorch: A Comprehensive GuideThis comprehensive guide, is meticulously crafted to demystify the intricacies of PyTorch Tensors.Jan 51Jan 51
