“How to Implement a Revenue Optimization Strategy in the Hotel Industry Using Machine Learning?Leveraging Machine Learning for Enhanced Data Insights: A Comprehensive Case Study on Maximizing Hotel RevenuesDec 15, 2023Dec 15, 2023
Why Feature Selection and Engineering is important beforeMachine Learning Models?Feature selection and engineering are crucial steps in the machine learning (ML) pipeline because they significantly impact the…Oct 11, 2023Oct 11, 2023
SQL Project: Exploring Chicago Crime — “Is Your Neighborhood Safe?” 👮🏻♂️Delve deep into the realm of data as we investigate Chicago crimes between 20018 and 2022. If you’re a resident of Chicago, this analysis…Sep 7, 20232Sep 7, 20232
Cross-Validation for Regression Models: A Comprehensive GuideCross-validation is like trying on a new pair of glasses. You want to make sure they fit well and look good from every angle. Just like…Aug 19, 2023Aug 19, 2023
What Are Overfitting and Underfitting?In our previous article, we delved into the interpretation of various metrics to gauge whether your model is performing well or poorly…Aug 18, 2023Aug 18, 2023
Unlocking the Secrets of Regression Metrics: A Friendly Guide to MAE, MSE, RMSE, and R-SquaredIn the previous article, you were given a sneak peek into the metrics used for validating your regression model. In this article, we will…Aug 18, 2023Aug 18, 2023
How to plot Predicted vs Actual Graphs and Residual PlotsExploring the Iris datasetAug 17, 2023Aug 17, 2023
Knowing Your Regression Model: Good or Bad?When you create a regression model, you’re like a chef cooking up a recipe. You combine various ingredients (features) to predict something…Aug 16, 2023Aug 16, 2023
Understanding P-Values: A Simple and Easy Guide With the Example of Tomato growthWhat is a P-value?Aug 16, 2023Aug 16, 2023
Handling Missing Values: A Detailed and Comprehensive Guide“Demystifying the Gaps: Practical Techniques to Navigate and Fill the Missing Pieces in Your Data”Aug 16, 2023Aug 16, 2023
