Pinned Repositories
alx-solution-seekers
Solution Seekers is a collaborative study group at Explore AI Academy focused on peer-to-peer learning in data science, covering topics like machine learning and AI through regular Zoom sessions.
Movie-Recommendation-System
This project involves developing a movie recommender system that uses machine learning algorithms to analyze user preferences and viewing history. The system delivers personalized movie suggestions, helping users discover films they are likely to enjoy based on their individual tastes and past interactions.
NLP-sentiment-analysis-tool
This project involved sentiment analysis using Amazon Fine Food reviews, aiming to build a robust model for accurate sentiment prediction. Two models were developed: a Random Forest Classifier and a Passive-Aggressive Classifier. The project emphasized addressing prediction inconsistencies and enhancing performance through model calibration.
Predicting-Apartments-Prices-in-Buenos-Aires
Machine learning project predicting real estate prices in Buenos Aires, utilizing advanced techniques for outlier detection, heteroskedasticity handling, and model optimization
youssef-laouina's Repositories
youssef-laouina/Predicting-Apartments-Prices-in-Buenos-Aires
Machine learning project predicting real estate prices in Buenos Aires, utilizing advanced techniques for outlier detection, heteroskedasticity handling, and model optimization
youssef-laouina/alx-solution-seekers
Solution Seekers is a collaborative study group at Explore AI Academy focused on peer-to-peer learning in data science, covering topics like machine learning and AI through regular Zoom sessions.
youssef-laouina/NLP-sentiment-analysis-tool
This project involved sentiment analysis using Amazon Fine Food reviews, aiming to build a robust model for accurate sentiment prediction. Two models were developed: a Random Forest Classifier and a Passive-Aggressive Classifier. The project emphasized addressing prediction inconsistencies and enhancing performance through model calibration.
youssef-laouina/Movie-Recommendation-System
This project involves developing a movie recommender system that uses machine learning algorithms to analyze user preferences and viewing history. The system delivers personalized movie suggestions, helping users discover films they are likely to enjoy based on their individual tastes and past interactions.