factor selection, exploratory data analysis, statistical learning on both qualitative and quantitative data in R
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Updated
Dec 22, 2018 - R
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
factor selection, exploratory data analysis, statistical learning on both qualitative and quantitative data in R
a repo for documenting implemented machine learning algorithms from scratch
Machine Learning: Supervised SVM Algorithms for Disease Classification using Gene Expression Profiles | SSC Case Study
Build a predictive model for the sale prices of homes in a city and explore potential equity issues with the real-estate assessment process
Code of the first week of the challenge
Case Cientista de Dados - Geofusion
My project for a competition in the Statistical Learning course - academic year 2022/2023
analytica vidhya 2018 competition -principal component analysis
This repository is created to keep the code which has been used to do a mini-tutorial. The objective of this activity is promote the disclosure about Bioinformatics and Computational Biology.
The goal is to build a music recommendation system that can provide custom playlists for individual users based on collaborative and metadata filtering.
machine learning with Spark -R implementation. SVM is used to identify the handwritten numbers. Liner regression is used to find out/predict house price. Supervised learning.Linear regression for regression problems. Random forest for classification and regression problems. Support vector machines for classification problems.
Visualising 2Way Random Forest Interactions
The intention of compiling this project is to study and to visualize the effect of various factors on each other. These factors are related to the app downloads on the Google play store. We also try to build a linear model which would be able to predict the effect of one variable on the outcome of another. Through this predictive model we also t…
algorithm practice in R
R script for "E5S_metabolomics_workflow" computation