Upendra VijayMastering SQL Joins, Ranks, and Window Functions, CTESQL Joins: Joins in SQL are essential for merging data from two or more tables based on related columns. Each type of join is tailored to…Jul 29Jul 29
Upendra VijayUnleashing the Power of LLMs with Parameter-Efficient Fine-TuningIn the ever-evolving landscape of machine learning, Large Language Models (LLMs) like GPT-3 and BERT have revolutionized how we interact…May 25May 25
Upendra VijayHypothesis TestingHypothesis testing validates the assumption made on sample data and tells whether the assumption is likely to be true or not for the entire…Apr 5, 2023Apr 5, 2023
Upendra VijayPrincipal component analysis (PCA)Principal component analysis (PCA) is one of the most commonly used dimensionality reduction techniques. it approximates the original data…Mar 6, 2023Mar 6, 2023
Upendra VijayNonlinearity in Datalinear regression model assumes a linear relationship between the response and predictor variables. But in some cases, the true…Feb 14, 2023Feb 14, 2023
Upendra VijayRegularization IntroductionWhen a model performs really well on a train set but does not perform well on unseen data, we know we have a problem: overfitting. We know…Feb 10, 2023Feb 10, 2023
Upendra VijayModel Building and EvaluationBefore selecting any model you need to keep in mind that different models work well for different types of situations. Some work well with…Feb 4, 2023Feb 4, 2023
Upendra VijayModel Evaluation — Regression MetricsRoot Mean Square Error(RMSE):Feb 2, 20231Feb 2, 20231
Upendra VijayPrinciple of Model Selection:Before selecting any model you need to keep in mind that different models work well for different types of situations. Some work well with…Jan 31, 2023Jan 31, 2023
Upendra VijayR-squareR² is also known as the coefficient of determination. It is the proportion of variation in Y that is explained by the Model. So R-square…Jan 19, 2023Jan 19, 2023