From my learning experience in the MS BA  course, I learnt the use of stats tools from Excel and SPSS for descriptive statistics. The...

The majority effort of a typical Data Analyst or a Data Scientist revolves around Model Evaluation and refinement. During my...

Across many industries, machine learning has transformed problem-solving techniques by providing strong instruments for identifying...

Both underfitting and overfitting represent the extremes of model performance issues. The goal in machine learning model development is...

ANOVA refers to the analysis of variance. This statistical tool is highly essential in understanding if the impact of a predictor or...

We always hear a lot about p-value <0.5 when we build an Excel model or SPSS model. The multiple questions that run in the minds of...