IA Python Project

Kohanen SOM using ANN to identify clustering of amplitude roughness parameters

A simple neural network written in C++ for processing written numbers.

A Machine-Learning Model to Predict the Patient diagnosis based on the given features from a dataset.

I used lending data to create machine learning models that classify the risk level of given loans. Specifically, I compared the performance of the Logistic Regression model and the Random Forest Classifier.

A Text Generation AI made with Tensorflow

tasks from Data Workshop

Config files for my GitHub profile.

Predicted mental health and discovered its association with population density, income, water, and land features using machine learning models.

This is my internship project as a MACHINE LEARNING Intern at Bharat intern company Task-1 Iris Flowers Classification

ML modeling for house price prediction in Belarus

This repo was made to work on the creation of my master thesis

Using SparkSQL, determined key metrics about home sales data. Then, I used Spark to create temporary views, partition the data, cache and uncache a temporary table, and verify that the table has been uncached.

Telegram-бот, который помогает администратору салона взаимодействовать с клиентами

Code Notes & Test-Learn // Micro Pet-Projects: Python / Asynchrony / FastAPI / Django-Tastypie / Parsing / SQL / Docker / DS / ML / etc.

this azure app uses mashine learning to find a website you are looking for with just a prompt

Airline-Customer-Model — Machine Learning Project on: Scikit-learn / Pandas / Matplotlib / Seaborn

Band Gap Prediction for low-dimensional antimony(III) and bismuth(III) halides with 1D-anions.

Performance Predictions of Spark Jobs with Machine Learning Tasks Using Various Artificial Intelligence Models