R/cvma: Cross-validation-based maximal associations
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Updated
Nov 9, 2017 - R
R/cvma: Cross-validation-based maximal associations
this project aims to be an easy and reusable way to use supervised machine learning techniques
This script compares the accuracy of both KNN and Decision Tree and visualizes the same.
Predict whether an individual is a person of interest based on their enron email.
Implementing random forest models in R with bagging and boosting.
Getting started with Machine Learning
Data sampling library
Predict survival on the Titanic data using R.
Data Science - Case Study with Classification Application in Python Using scikit-learn
Predict domestic gross revenue of movies before release using web scraping and linear regression models with regularization
Is Math Related to Science?
Predictive modeling projects for online competitions(Kaggle & DrivenData) and assignments from the Master in Business Analytics & Big Data at IE HST.
Predictive analysis, with feature engineering, and machine learning (ML) algorithms, such as linear regression, applied to predict the final sale price of homes in Ames, IA from 2006-2010.
A Machine Learning classification project aiming to predict the presence/ absence of heart disease.
Re-sampled dimensional reduction (RSDR)
Predictive Analytics Coursework
Kaggle Kernel for Rain In Australia dataset. It predicts whether there will be Rain tomorrow in Australia or not with 85% Accuracy.
Life expectancy, an estimate of the number of remaining years of life a person has, is an important consideration for making clinical decisions in primary care. Predicting Life Expectancy helps analyze the average lifespan of the countrymen which helps in making crucial health decisions.
This repository contains pre-requisite notebooks of Machine Learning Course from Kaggle for my internship as a Machine Learning Application Developer at Technocolabs.
Predicting apartment rent price annually in the Riyadh region. by using a linear regression model.
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