Houssem Lahmer's repositories
STM32_data_logger
This project enables data logging from an STM32 microcontroller to a computer using Python. It involves STM32-side code for acquiring analog sensor data and Python PC-side code for logging the data to a CSV file.
python-microcontroller-gui-adc-multichannel
Python GUI for Microcontroller Interface: ADC Multi-Channel Reading
CPU-Performance-Prediction
Predicting CPU performance using a Multiple Linear Regression model with Python and Scikit-Learn.
diabetes-classification-ml
A machine learning project for classifying diabetes status using various classification algorithms on health data.
ElectionSentimentAnalysis
Predicting the US Presidential Election outcome using sentiment analysis on tweets from Donald Trump and Joe Biden.
Error_handling
Error_handling module to integrate in your embedded software projects
House_price_predictions
House Price Prediction using Random Forest This project involves predicting house prices using a RandomForestRegressor model. It includes data preprocessing with handling missing values and feature scaling, and trains a model on selected features from a housing dataset to predict sale prices accurately.
HoussemLahmar
My personal repository
Memory_allocator
This project is a simple memory allocator implemented in C, providing dynamic memory allocation and deallocation functionalities such as `malloc()`, `free()`, `calloc()`, and `realloc()`. It utilizes a linked list data structure and the `sbrk()` system call for memory management, ensuring thread safety through basic locking mechanisms.
Programming-in-C
Welcome to my C Programming Repository! Explore code samples, projects, and resources to learn C programming. Beginners and experts alike will find valuable content to enhance their skills. Join me in the world of C programming. Happy coding!
Simple-Shell
This project implements a basic shell in C, supporting command execution, built-in commands like `cd`, `help`, and `exit`, with simple error handling.
Solar-Power-Measurement
STM32-based project for solar panel monitoring. Measures voltage, current, temperature, and light intensity. Easily adaptable to other STM32 boards. Detailed documentation included.
Machine-Learning-Notes
My Machine Learning Course Notes
neo-hazardous-prediction
Machine learning project for predicting hazardous Near-Earth Objects (NEOs) using NASA data. Implements a Random Forest classifier to assess the threat level of NEOs based on various features such as diameter, velocity, and miss distance.
State_Machine_projects
Mini-SM projects
STM32_CubeIDE_Workspace
STM32 Workspace: STM32 Boards learning journey, illustrating the progression of my skills with the different built-in peripherals and interfaces.