SachinchauhanCase Study: Predicting Health Insurance Premiums with Machine LearningContents3d ago3d ago
SachinchauhaninCodeXConfusion Matrix — Precision, Recall and F1 Score for Classifications in MLThe Confusion Matrix is a table that summarises the performance of a classification model by displaying the actual vs. predicted…Oct 9Oct 9
SachinchauhanAdvance SQL Questions— Part 2Following questions are based on SQL concepts (like window functions, self join, join, group by and aggregation etc), to understand these…Sep 28Sep 28
SachinchauhanAdvance SQL Questions — Part 1Following questions are based on SQL concepts (like window functions, self join, join, group by and aggregation etc), to understand these…Sep 241Sep 241
SachinchauhanGradient Descent Algorithm in Machine LearningGradient Descent is an optimization algorithm used to find the parameters of the model at which the cost function is minimum. It is widely…Sep 20Sep 20
SachinchauhanOOPs — Object Oriented ProgrammingObject Oriented Programming is a programming paradigm in python that based on concept of objects. An object in OOP is an instance of a…Sep 21Sep 21
SachinchauhanSQL — Target Case StudyTarget is a globally renowned brand and a prominent retailer in the United States. The records in the dataset focuses on the operations of…May 312May 312
