Semaine 5 de mon Experience Lab chez @analystlabafric : de la conception (Week 4) au code qui tourne, sur le projet HealthConnect.
Ma piste : ML Engineering. Objectif : implémenter le pipeline conçu la semaine dernière.
#AnalystLabAfrica
🏥 Week 4 of my Experience Lab @analystlabafric
New shared project (HealthConnect) on my ML Engineering track.
Found a data leak before writing any code: “waiting time” was filled in for patients who never showed up 👀
System architecture delivered ✅
#AnalystLabAfrica#ML#AI
Semaine 3 de mon ML internship chez @analystlabafric !
J'ai entraîné et comparé 5 modèles pour prédire le churn client (Logistic Regression, Decision Tree, Random Forest, Gradient Boosting, XGBoost).
Random Forest recommandé : ROC-AUC 0.836, Recall 74% 🏆
#AnalystLabAfrica#ML
🤖 Week 2 of my ML internship at @analystlabafric
I cleaned a dataset of 7,043 Telco customers... and discovered 11 totally invisible missing values 👀
Feature engineering + encoding + outliers + feature selection ✅
100% ML-ready dataset 🚀
#AnalystLabAfrica#ML#AI#DataScienc
Week 1 of my ML internship at @analystlabafric
26.5% churn rate at a (fictional) telecom operator. But the real insight? 11 hidden missing values in a dataset that showed "0 NaN"
Business framing + EDA + proposal → all up on my GitHub : https://t.co/YvBqI6pLcp
#ML#AnalystLab