PinnedPatwariraghottamZ-Scores vs. Box Plots: The Quirky Quest to Unearth Outliers in Statistical WonderlandUnderstanding Outliers and Their Critical Role in Data AnalysisJun 20Jun 20
PatwariraghottaminDevOps.devEssential Hypothesis Testing in Machine Learning: Key Tests for Normality, Independence, and…Hypothesis testing is crucial in machine learning for validating assumptions, feature selection, and model evaluation. It helps determine…1d ago1d ago
PatwariraghottaminDevOps.devVisualizing the Bias-Variance Tradeoff: A Python Guide with Code Examples4d ago4d ago
PatwariraghottaminDevOps.devMastering Feature Selection: Techniques to Boost Your Machine Learning ModelsAug 251Aug 251
PatwariraghottamMastering Naive Bayes: A Comprehensive Python Guide to Probabilistic ClassificationThe Naive Bayes algorithm is a simple and powerful probabilistic classifier based on applying Bayes’ theorem with the assumption that…Aug 22Aug 22
PatwariraghottamCracking the Confusion Matrix: Unlocking Accuracy, Precision, Recall, and F1 ScoreA confusion matrix is a table that is used to evaluate the performance of a classification model. It provides a summary of the prediction…Aug 19Aug 19
PatwariraghottamExploring k-Nearest Neighbors: Mathematical and Geometric InsightsThe K-Nearest Neighbors (KNN) algorithm classifies a data point or predicts its value by analyzing the ‘K’ closest data points in the…Aug 14Aug 14
PatwariraghottamStreamlit for Hardware Logic: A Full Adder Circuit Implementation and DeploymentA full adder is a combinational logic circuit that performs the addition of three binary numbers: two significant bits and an incoming…Aug 3Aug 3
PatwariraghottamSQL Window Functions: A Deep Dive into Advanced AnalyticsWindow functions in SQL perform calculations across a set of table rows related to the current row. Unlike aggregate functions, window…Jul 16Jul 16
PatwariraghottamMastering Chi-Square Goodness of Fit Tests with Python: Implementation and Visualization”Jul 9Jul 9