Function Transformer is part of feature engineering it converts probability density function to normal distribution

Data Mining coursework. Required the submission of two seperate py files. Short description. The aim of this coursework assignment is to demonstrate understanding of classification and cluster analysis.

This is a simple python program to train a classification model using decision tree, random forest and Naive Bayes algorithms

Datamining concepts

A classification task to predict the likelihood of a stroke using various machine learning models based

This is a small and simple Machine Learning project. The front-end is Java (PersonalityTest) and the back-end is Python (PersonalityServer). The user uses the JavaFX Application (client) to connect to the back-end using Python Flask where a Machine Learning model is trained and it is used to predict the user's personality (out of 16 different pe…

Contribution to Titanic Project

Create a model to predict if a customer will leave the bank.

This is my own code. The data set is taken from Kaggle competitions. Here is the link: https://www.kaggle.com/competitions/titanic

Diabetes Prediction

Titanic ML Competition.

Using Supervised Machine Learning to predict the success of a Falcon 9 landing.- DataScience

In this project I intend to predict customer churn on bank data.

Bu uygulamada; C4.5, C5.0 ve CART algoritmalarını kullanarak sınıflandırma gerçekleştirdim.

Beta Bank is losing customers monthly. Employees want to focus on client retention. As a Data Scientist, I created a model to predict the chance of a customer leaving, based on past behavior and contract terminations.

Implementing a Generic Decision Tree Classifier in Swift and comparing it with a python version.

Different classification algorithms to determine whether or not an individual from the Pima group will have type 2 diabetes

Welcome to my Lets Grow More internship project repository! Explore a collection of data science and business analytics projects showcasing my skills in predictive modeling, classification, and forecasting. Each project features a detailed Jupyter Notebook with code and visualizations. Join me on this data-driven journey!

pipelines chains together multiple steps so that the output of each step is used as input to the next step