Prediction of customer will purchase iPhone or not using KNN classifier model and multiple supervised ML model.
-
Updated
Nov 30, 2023 - Jupyter Notebook
Prediction of customer will purchase iPhone or not using KNN classifier model and multiple supervised ML model.
This repository contains all resources for Homework 1 of TDT4173 fall 2021.
In this notebook, I'm using this dataset called 'flight-price-prediction', which contains the traveller information.In this notebook, I'm trying to run a dummy variable regression model at first, and after that, I'm trying to build a supervised ML Model with higher accuracy of predation.
This study demonstrates how numerous factors have an impact on bike rentals. Due to our understanding that many Koreans hire bikes throughout the week, we assumed that most of their use is for commuting to work or school. The number of rentals varies depending on a number of factors, including the day of the week, the hour of the day.
This project presents and discusses data-driven predictive models for predicting the defaulters among the credit card users.About Data Cleaning,Exploratory Data Analysis ,Handling Class Imbalance, Transforming Data , Fitting Different Model ,Cross Validation & Hyperparameter Tunning, Comparison of Model ,Combined ROC Curve, Feature Impotance.
Code for my Medium article: "How you can quickly deploy your ML models with FastAPI"
In this regression project, We will make use of different features like age, BMI, region, sex, smoker, etc to predict the medical insurance cost for an individual.
Unity package for generating 'treescheme' files based on dotnet assemblies.
ID3 implementation and improved ID3 implementation
Iris classfication using Descsion Tree or KNN ,etc
In this data science project, we will predict borrowers chance of defaulting on loans by building a default prediction model.
Disease Prediction Machine learning model
Complete project of people that have diabetes and show what features that explain that person be sick.
🎓💻University of Tehran Machine Learning Course Projects - Fall 2023
Bike rental prediction, blending predictive analytics and machine learning, optimizes inventory, pricing, and operations. It harnesses historical data, weather patterns, and time dynamics to enhance efficiency and elevate customer experiences.
Machine learning course at IDC. Implemented several amount of ML algorithms in Python using Jupyter notebooks
the second algorithm I've ever "written."
Add a description, image, and links to the descision-tree topic page so that developers can more easily learn about it.
To associate your repository with the descision-tree topic, visit your repo's landing page and select "manage topics."