PinnedSawsan YusufEarthquake Damage in Nepal (3): Predicting Damage with Decision TreesPhoto by Sergey Pesterev on Unsplash4h ago4h ago
PinnedSawsan YusufEarthquake Damage in Nepal (2): Predicting Damage with Logistic RegressionHello everyone and welcome to part 2 of Project 3. In part 1, we successfully retrieved Nepal building data from our database. This session…4d ago4d ago
PinnedSawsan YusufEarthquake Damage in Nepal (1): Wrangling Data with SQLHello and welcome to part one of our new project, Project Three.Sep 8Sep 8
Sawsan YusufAir Quality in Dar-es-salaam (4): Time-Series Data with ARMA ModelGreetings everyone! We are now at part four, the final part of this project.Sep 3Sep 3
Sawsan YusufTime-Series Project | Air Quality in Dar es Salaam (Part 3)Photo by Daria Rom on UnsplashAug 31Aug 31
Sawsan YusufTime-Series with Python Case Study | Air Quality in Dar-es-salaam (2): Linear Regression ModelPhoto by Vitor Monthay on UnsplashAug 22Aug 22
Sawsan YusufHow Can We Avoid Overfitting in Predictive Models?When creating a predictive model, it is important to consider the prediction error of the model. Prediction error refers to how accurately…Feb 9Feb 9
Sawsan YusufAir Quality in Dar es Salaam (1): Data Wrangling with MongoDBPhoto by Med J on UnsplashDec 17, 2023Dec 17, 2023
Sawsan YusufRegression Project | Housing in Buenos Aires (Part 5)Photo by Shalev Cohen on UnsplashNov 12, 2023Nov 12, 2023
Sawsan YusufRegression Project | Housing in Buenos Aires (Part 4)Photo by Fermin Rodriguez Penelas on UnsplashNov 10, 2023Nov 10, 2023