Product Recommendation Systems -2steps in more detail, focusing on how to integrate actual customer interaction data, perform hyperparameter tuning, and possibly use a…Feb 28Feb 28
Product Recommendation Systems -1To develop a recommendation system that predicts the products customers will likely purchase next, we can use various techniques. One…Feb 26Feb 26
A Journey Toward the LightAarav was just 16 when he realized the weight of the world was slowly starting to crush his spirit. Living in a small town, where…Feb 20Feb 20
The Silent WitnessThe small town of Greystone was a place where nothing much ever happened. Its cobblestone streets were lined with quaint shops, and the air…Feb 16Feb 16
Shadows of the UnseenThe city of Ellington was a place where everyone knew everyone else, or so it seemed. The quiet streets, the tree-lined avenues, the…Feb 14Feb 14
Credit Risk AnalysisTo assess the creditworthiness of loan applicants using a dataset with features like income, employment history, loan amounts, credit…Feb 11Feb 11
Use case for Principal Component AnalysisA retail company looking to segment customers based on their purchasing behavior using Principal Component Analysis (PCA) and Clustering…Feb 9Feb 9
PCA can provide significant benefits and achieve good accuracyPrincipal Component Analysis (PCA) can be used effectively in various business scenarios, especially when dealing with high-dimensional…Feb 8Feb 8
Principal Component Analysis (PCA) Implementation with PythonPrincipal Component Analysis (PCA) is a statistical technique used for dimensionality reduction while preserving as much variability…Feb 7Feb 7
Story of Kolkata boyOnce upon a time, in the vibrant city of Kolkata, lived a young artist named Arjun. He was known for his mesmerizing paintings, capturing…Feb 3Feb 3
