A series of articles to get started into the field of Machine Learning with R language
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Updated
Mar 4, 2019 - R
A series of articles to get started into the field of Machine Learning with R language
Gender recognition by voice and speech analysis
This project aims to predict the type 2 diabetes, based on the dataset. It uses machine learning model,which is trained to predict the diabetes mellitus before it hits.
This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.
This Repository Contains R-Codes executed on various Datasets in RStudio. I Hope This Repository is very helpful for those who are Willing to build their Career in Data Science, Big Data.
A set of projects I worked on as part of my PG Diploma in Data Science Program
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
🎓 Tidy tools for academics
A Human Resource Analytics project that addresses the question "Why do employees leave?". Also helps us better understand factors for employee satisfaction
Using R and machine learning to build a classifier that can detect credit card fraudulent transactions.
R/Rcpp implementation of the 'Follow-the-Regularized-Leader' algorithm
Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction
Various Classification models used are Logistic regression, K-NN, Support Vector Machine, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification using R
R codes for common Machine Learning Algorithms
Data mining project to detect if a person is diabetic 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.
That's a project of machine learning, made in order to determine possible numbers to win a lottery (not finished yet).
Network-Based Regularization for Generalized Linear Models
Loan Default Prediction, Individual Level Loan Data, Machine Learning, Logistic regression, Ridge, LASSO, Gradient Boosting, SVM, Random Forest
An R package to calculate Elo ratings
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