PinnedThiruthuvaraj RajasekharDo you want to predict items and their revenue using machine learning? Here is the Solution!!!The main goal of the following example and solution is to get data scientists and business analysts to think like business people.4 min read·Mar 2, 2023----
PinnedThiruthuvaraj RajasekharinILLUMINATIONMAPE vs sMAPE — When to choose what?When dealing with regression or forecasting problems, general metrics that we use are RMSE, MAE etc. RMSE, MAE are good if we are dealing…2 min read·Feb 3, 2021--2--2
PinnedThiruthuvaraj RajasekharinDataDrivenInvestorWhat Extreme things does XGBoost (eXtreme Gradient Boost) do?The introduction of Boosting methods actually made the statement very clear that Non-Neural Net models can also give on-par results to…3 min read·Sep 13, 2022----
Thiruthuvaraj RajasekharLearnt a new thing today!!!! Fuzzy c-means ClusteringWhenever the topic of Clustering arises, K-means is the first algorithm that text books teach us. To give a new brief intro to K-means, it…2 min read·Mar 23, 2022----
Thiruthuvaraj RajasekharEvery Data Scientist should know this !!!In scenarios of Marketing, Churn prediction problem etc., every data scientist would have faced the class imbalance problem, where the…2 min read·Mar 16, 2022----
Thiruthuvaraj RajasekharBias-Variance TradeoffEvery model in machine learning is some mathematical model and it assumes data to follow some distributions, and assumptions like the data…2 min read·Mar 14, 2022----
Thiruthuvaraj RajasekharKS-Test and its significanceWe would have seen, Z-Test, t-test etc, that presumes that the distribution should be a Normal Distribution. Have we ever wondered, is…2 min read·Mar 12, 2022----
Thiruthuvaraj RajasekharQ-Q Plots — A view from statistics perspectiveIf we encountered any Regression problem, we would have heard about Q-Q plots at least once. In this article, I want to answer few…2 min read·Mar 9, 2022----
Thiruthuvaraj RajasekharWhat is F1-Score? Why Harmonic mean?As a Data Scientist, if we are solving classification problems, we would have definitely come across f1-score metric.2 min read·Mar 8, 2022----
Thiruthuvaraj RajasekharWhat are Precision, Recall, Specificity, Sensitivity?In classification problems, usual terms that come to ears of data scientists are accuracy, precision, recall etc. and usually we get…2 min read·Mar 7, 2022----
