This assignment builds a personalized recommended system using survey data from "TV_Show_ratings.csv" that i manually created. The goal is to predict user preferences and recommend new TV shows; the users are likely to enjoy. To accomplish that goal, we will be implementing a User-to-User Collaborative Filtering algorithm using cosine similarity, generate top N recommendations, and evaluate model performance.

Entender a lógica da ANOVA como comparação global de médias. Conectar ANOVA ao planejamento: randomização, replicação e blocagem. Aplicar delineamentos clássicos: DIC, DBC, Quadrado Latino. Tomar decisões pós-ANOVA: fatores qualitativos → testes de médias / contrastes, fatores quantitativos → regressão (com teste de desvios).

Eupepsia Farms (trading as EYiA FarmCity) operates a network of commercial greenhouse clusters across Nigeria. This capstone applies a full predictive modelling and segmentation pipeline to the farm’s 2026 time-series harvest and revenue forecast, which was built from 450 KoboToolbox form submissions and bank-reconciled pricing data. The three primary crops are Bell Pepper, Habanero, and Tomato.