Various Classification models used are Logistic regression, K-NN, Support Vector Machine, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification using R
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Updated
Jan 18, 2018 - R
Various Classification models used are Logistic regression, K-NN, Support Vector Machine, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification using R
The project concerns an international e-commerce company* based in the USA who want to discover key insights from their customer database. They want to use some of the most advanced machine learning techniques to study their customers.
Data Mining Project: Classification of the Car Evaluation Dataset.
Predicting Usefulness of Code Review Comments using Textual Features and Developer Experience
A set of Machine Learning classification projects using R.
Machine learning analysis & visualisation of cellular spatial point patterns
For my Data Analytics subject I studied about car consumption habits depending on different factors collected in a survey made by Smartme Analytics.
Implementing different flavors of Classification and Regression Machine Learning Algorithms on different datasets in the US region.
Credit risk analysis using the LASSO, Random Forests and the SMOTE technique for balancing
R | Classification Project
Human resource has become one of the main concerns of managers in almost all types of businesses which include private companies, educational institutions and governmental organizations. Business Organizations are really interested to settle plans for correctly selecting proper employees. After hiring employees, managements become concerned abou…
This original code is the product of Travis Zalesky's Final Project in U. of AZ MS GIST class 601B - Remote Sensing. It is being provided publicly in the interest of transparity and repeatability.
The Problem Statement of this Project was to determine the likelihood of an employee to leave an organization.
Model predicts and detects the suicidal tendency of a person by runnning R script of ML algorithm.
Machine learning binary classification RStudio
Parkinson’s disease classification using speech signal features; comparison of various multiclass classification algorithms
Visualising 2Way Random Forest Interactions
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