Encode Categorical Variables for Deep LearningA categorical variable (sometimes called a nominal variable) is one that has two or more categories, but there is no intrinsic ordering to…Aug 10, 20201Aug 10, 20201
Handling Imbalance Classes in Machine LearningMany real world classification problems may have a severe imbalance in the class distribution as followingsAug 3, 2020Aug 3, 2020
Published inAnalytics Vidhyap-value and it’s significanceThe p value is used all over statistics. In scientific articles we often read about p values. Everyone knows that you use p values to…Jul 24, 2020Jul 24, 2020
Anomaly Detection by Isolation Forest AlgorithmIntroduction to Anomaly DetectionJul 20, 20201Jul 20, 20201
Machine Learning: A Brief IntroductionMachine learning is a field of study that gives computer ability to learn without explicitly programmed(Arthur Samuel,1959). In our daily…Jul 13, 2020Jul 13, 2020
Published inAnalytics VidhyaHow to interpret result from Linear RegressionWhether you are new to data science or even an experienced veteran, interpreting the results of a machine learning algorithm can be a…Jul 5, 2020Jul 5, 2020
Published inAnalytics VidhyaWine Quality Prediction AppWhat makes a wine better quality than other. It is very difficult for us to assess the quality of wine just by reading the label. Quality…Jun 29, 2020Jun 29, 2020
Published inAnalytics VidhyaZ score : Definition & InterpretationSometimes researcher asks a question as a specific observation is common or exceptional. It can be answered as no of standard deviations…Jun 22, 2020Jun 22, 2020
Published inAnalytics VidhyaDeconfusing the Confusion MatrixConfusion matrix is a way to view different classification metrics as accuracy, precision, recall, etc. I will try to explain confusion…Jun 15, 2020Jun 15, 2020
A Brief Introduction of Reinforcement LearningReinforcement Learning(RL) is a machine learning technique that allows an agent to learn what to do in an interactive environment by trial…Jun 7, 2020Jun 7, 2020
