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abalone-age-prediction

australia-weather-prediction

The model should predict whether is it going to rain the next day coming or it isn't. The models that have been deployed were TensorFlow Sequential, Random Forest Classifier and GradientBoostingClassifier. The best model on both training and test set was achieved with Gradient Boosting Classifier with 95.2% and 85.5% accuracy on the train and test.

diabetes-prediction

The objective of this Project is to data visualization and training machine learning models to predict whether a person has diabetes or not.

guess_the_num

A simple PyQt5 app, in which User can guess the number until the program tells if the number was correct.

kerman-house-price

machine-learning-from-scratch

This repository will contain implementations of popular machine learning algorithms coded from scratch, without the use of common machine learning packages.

machine-learning-projects

This repository consists of all my Machine Learning Projects.

online-shoppers-purchasing-intention

palmer-penguin-dataset

seuol_bike_sharing_demand

The Seoul Bike Sharing Demand dataset contains rental data for the Seoul Bike sharing system and can inform policies to increase bike rental demand. Factors such as temperature, weather, hour of the day, and season were found to influence rental patterns. Predictive models were developed to forecast rental demand

student-grading-prediction

The dataset contains students last three year exam results combined with other data such as their sex, family size, father and mother job and some of their personal and social life properties. The goal is to train ML models to predict student performance in their last year exams.

weather-app

An app that collects Data from "Openweathermap" API, then stores and show them to the user in a PyQt5 App.