Prathamesh AmrutkarPart 1 :: Understanding Imbalanced Classification Data with Machine LearningImbalanced classification occurs when the classes in a dataset are not represented equally. This imbalance can lead to biased models that…Aug 1Aug 1
Prathamesh AmrutkarPart-2 :: Understanding and Handling Imbalanced Numerical Data in Machine LearningNumerical data can present its own set of challenges, including scaling, normalization, and handling missing values. Proper preprocessing…Aug 1Aug 1
Prathamesh AmrutkarHandling Imbalanced Data Using Machine Learning: A Comprehensive GuideLearn how to handle imbalanced data in classification And Numerical tasks using various techniques.Aug 1Aug 1
Prathamesh AmrutkarExtracting Text from PDFs in Python: PyPDF2, pdfminer.six, pdfplumber, and PyMuPDFAccuracy, strengths and weaknesses for PyPdf2, PdfMiner.six, pdfplumber, and PyMuPdfJul 5Jul 5
Prathamesh AmrutkarThe Complete Guide to Object Detection Evaluation Metrics: From IoU to mAP and MoreWhat is a “Good” Object Detector?May 9May 9
Prathamesh AmrutkarPredicting PCOS Using Machine Learning Algorithms: A Binary Classification ApproachIntroductionApr 27Apr 27
Prathamesh AmrutkarTraining a YOLO Object Detector with Darknet: A Comprehensive GuideIntroductionDec 17, 2023Dec 17, 2023