Projects

These projects were coded in Python using various machine-learning libraries and algorithms and depicted through matplotlib visualization techniques.

S&P Index Prediction

Description: S&P Index prediction via presidential or prominent public statements.

Technologies: Python3, Time-series forecasting, sentiment analysis (NLP), long short-term memory neural network (LSTM).

Description: Recommendation system using collaborative filtering methods and various correlation technologies.

Technologies: Python3, LightFM, Pearson-Cosine correlation techniques...

Description: This charge looks suspicious

Technologies: Python3, Synthetic Minority Over-sampling Technique (SMOTE), metrics: precision, recall, accuracy, f1 score, confusion matrix...