PinnedDo 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.Mar 2, 2023Mar 2, 2023
PinnedPublished inILLUMINATIONMAPE 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…Feb 3, 20212Feb 3, 20212
PinnedPublished inDataDrivenInvestorWhat 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…Sep 13, 2022Sep 13, 2022
Language Modelling: Probabilistic ApproachIn general, we all speak differently and also, often it becomes difficult to exactly repeat the same words that we would have spoken few…Dec 6Dec 6
Learnt 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…Mar 23, 2022Mar 23, 2022
Every 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…Mar 16, 2022Mar 16, 2022
Bias-Variance TradeoffEvery model in machine learning is some mathematical model and it assumes data to follow some distributions, and assumptions like the data…Mar 14, 2022Mar 14, 2022
KS-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…Mar 12, 2022Mar 12, 2022
Q-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…Mar 9, 2022Mar 9, 2022
What 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.Mar 8, 2022Mar 8, 2022
