Improved Sqrt-Cosine Similarity From ScratchBack then one year ago, I came across an interesting similarity scoring function when I was researching for some entity matching tasks —…Apr 15, 20231Apr 15, 20231
Published inCodeXSpotting The Right Targets for Your Marketing StrategiesUplift Model — A predictive model to identify targets who are most likely to buy because they are targeted, unlike spray and pray…Jun 2, 20221Jun 2, 20221
Association Rule — Your Business BoosterAvailability of connectivity coverage, advancement of tools and devices push the effort in digitalization of most of our activities…Jan 10, 2022Jan 10, 2022
Insightful Analysis Begins With A Right QuestionSimplified flow of data analysis. Understand the requirement. Defining the needs. Analyze the information. Interpret the result. Presenting…Sep 5, 2021Sep 5, 2021
Published inGeek CultureSales Prediction: Multi-Steps Forecast from Classical Time Series Models to Machine Learning ModelsTime series analysis is applicable is numerous industry, such as business, economic, financial and even healthcare. Scientists were doing…Apr 20, 2021Apr 20, 2021
Demonstrating Customers Segmentation with DBSCAN Clustering Using PythonDensity-Based Spatial Clustering Application with Noise (DBSCAN), an award-winning clustering algorithm that catches our eyes…Mar 4, 2021Mar 4, 2021
Published inThe StartupAbalone Sex Classification via Physical Measurements — RApplication of Multivariate Analysis and Classification on R. Forecasting profitability and enhancing sustainability through the weights…Feb 27, 2021Feb 27, 2021
Published inArtificial Intelligence in Plain EnglishHow To Define ‘Churned’ in Unsupervised Dataset?How do we define ‘churned customer’? How to initialize a churn model building process when you have unlabeled or unsupervised data…Jan 16, 20211Jan 16, 20211
Introductory Machine Learning AlgorithmTraditionally, we used hard code a series of steps or procedures, input data, and program will output results. As machine learning evolves…Dec 13, 2020Dec 13, 2020
Published inThe StartupTelecommunication Churn Prediction With Decision Tree Using Python.Building a churn predicting model to identify underlying churning factors and customers inclining to leave.Dec 6, 2020Dec 6, 2020
Published inThe StartupANOVA- Why Do We Testing Population Means By Applying Variance?Have you ever thought of how and where to apply ANOVA? We have to make dozens of decisions everyday, how do we judge which is a better one…Nov 19, 2020Nov 19, 2020
Relational Database for Photos Sharing WebsiteRapid advancement of technologies has led to information explosion. We are leaving our ‘footprint’ for all interactions done online…Nov 18, 2020Nov 18, 2020
Published inThe StartupExploring Customers Segmentation With RFM Analysis and K-Means Clustering.Business digitalization is an important milestone throughout journey of a business. It is happening globally regardless of the sectors or…Nov 1, 20202Nov 1, 20202
Published inThe StartupUnderstanding Bias-Variance Trade Off From Learning CurveHow do we diagnose bias and variance? And, what should we do to deal with it?Oct 25, 2020Oct 25, 2020
What is Supervised, Semi-Supervised and Unsupervised Learning?Kick start machine learning with ideas of supervised, semi-supervised and unsupervised learning. Question first comes into your mind when…Oct 23, 2020Oct 23, 2020
Game Theory — Pure Strategy in Oil IndustryDiscussing and illustrating simplified game. A strategic situation with pure strategy.Oct 22, 2020Oct 22, 2020
Published inThe StartupLinear Regression With Gradient Descent From ScratchLinear regression is modeling linear relationship between real-valued predictors and target variable. We find the function that best…Oct 21, 2020Oct 21, 2020
