This project implements linear regression using a dataset to predict a dependent variable based on an independent variable. It involves data preprocessing, making predictions, and visualizing results using matplotlib. The final output is a scatter plot with a fitted regression line, showcasing the model’s accuracy.

Audit a purposefully vulnerable website and write simplistic reports of the vulnerabilities found - introduction to cybersecurity in the field of the Web.

This project implements logistic regression from scratch to classify students into Hogwarts houses based on their academic data. It includes data preprocessing, training the model, making predictions, and evaluating accuracy. Data visualization is used to explore the dataset and detect patterns. The final output demonstrates the model’s accuracy.

Re-coding the ping command will let you get acquainted with TCP/IP communication between two machines on a network

ping network diagnostic tool replica.

Introduction to cybersecurity in 42Berlin

42 ls project

Nine projects that explore the fundamentals of Django, with emphasis on object-oriented programming with python