A Lite & Memory Efficient PHP Library for Scientific Computing

Little python 3 script, take an export file of Revolut and draw some meaningfull plots using plot.ly API, print some informations about the spendings and write a report in Markdown format.

Complete 1 Week to understand Role of Statistics to play with data.

Final Degree Project: Analyzing MANETs Routing Protocols emulated with Mininet WiFi

This is done as a project work in my data science course

Dashboard for home devices

Utilizing R created and analyzed datasets to review and validate their statistical similarities

This project analyzes marketing campaign data to understand how customer demographics, lifestyle, and past purchases affect their likelihood to respond to marketing campaigns.The goal is to discover basic actionable insights to optimize sales funnels and marketing efforts.

Course Materials I taught/TA-ed/led at NYU. Courses are primarily about various topics of Statistics.

Machine learning for credit card default. Precision-recalls are calculated due to imbalanced data. Confusion matrices and test statistics are compared with each other based on Logit over and under-sampling methods, decision tree, SVM, ensemble learning using Random Forest, Ada Boost and Gradient Boosting. Easy Ensemble AdaBoost classifier appear…

Data science lecture for ENSMM engineering school 2022

This Python notebook demonstrates how to compute the five-number summary (minimum, Q1, median, Q3, maximum), calculate the interquartile range (IQR), detect outliers, and visualize data distributions using box plots with Seaborn and Matplotlib. It’s ideal for statistical analysis and data visualization tasks.

Collection of exercises related to data analysis