Loan Application Prediction through machine learning moldes : Logistic Regression, Random Forest, DecisionTree,
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Updated
May 19, 2022 - HTML
Loan Application Prediction through machine learning moldes : Logistic Regression, Random Forest, DecisionTree,
Implementation of Decision Tree algorithm to classify the personalities of the people. Data used was the combination of data from Big Five personality test and 16 personality test.
Adaptive E-Learning Platform for students.
Design Laboratory: Cybersecurity, Reliability and Risk – malware discovery with machine learning
Rule covering for interpretation and boosting
Applying unsupervised learning algoriths on online shoppers intention data and model building
IIT Kharagpur ML Assignments by Prof. Pabitra Mitra
Here I developed a machine learning model for predicting personality traits. It analyzes personal behavior data and uses algorithms like KNN, Logistic Regression, Decision Tree to classify individuals based on traits. It automates the personality assessment process, providing insights for social media, advertising, and recruitment.
CIND820 Capstone Project: Classification of Water Quality samples using ML
Building a decision tree. Determining the factors that have the biggest impact on the project's success on the platform. Results visualization (dashboard). / Построение дерева решений. Определение факторов, наибольшим образом влияющих на успех проекта на платформе. Визуализация результатов с помощью дэшборда.
Opis teorii, algorytmów oraz przykładów zastosowania drzew decyzyjnych.
Tiny jQuery plugin for declarative flowchart / decision-tree apps. Plays nice with Animate.css
Implementation of basic ML algorithms in Python a.w.a in R (don't go by the name of the repository)
Machine Learning - Random Forest & Decision Tree
Mushroom Data Set
Udacity - Predictive Analysis for Business Projects
This work aims to develop student's academic performance prediction model, for the Bachelor's degree students in Computer Science using the classification method; Decision Tree Algorithm. Parameters like semester marks, attendance marks, score obtained from the 10th and 12th examinations, study time, and other aspects were selected to conduct th…
Emplox (Employee Performance Prediction) is a web application that predicts the performance of the employee based on various parameters. It uses a classification machine learning model Random Forest with the accuracy of about 90% and minimal error.
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