Modeltime unlocks time series forecast models and machine learning in one framework
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Updated
Oct 22, 2024 - 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.
Modeltime unlocks time series forecast models and machine learning in one framework
Analysis Pipeline for Single Cell ATAC-seq
🤠 📿 The Highly Adaptive Lasso
R Data Structures and Algorithms, published by Packt
Movie Recommendation System: Project using R and Machine learning
subsemble R package for ensemble learning on subsets of data
anomaly detection with anomalize and Google Trends data
Optimizing a Wedding Reception Seating Chart Using a Genetic Algorithm
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.
A series of articles to get started into the field of Machine Learning with R language
Machine Learning algorithms coded from scratch
Using R and machine learning to build a classifier that can detect credit card fraudulent transactions.
R Package for Density Ratio Estimation
Intention Mining in Social Networking. It Mines Emotions and polarity for the given keyword . For the keyword it searchers the twitter for the comments and analyzes the results for various events such as Election results, Sports prediction Movie ratings, Breaking news events such as demonetisation and many more. Bayes , Maximum Entropy and Hidde…
Applying Deep Machine Learning for psycho-demographic profiling of Internet users using O.C.E.A.N. model of personality.
Weighted Shapley Values and Weighted Confidence Intervals for Multiple Machine Learning Models and Stacked Ensembles
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.
INTEND (IntegratioN of Transcriptomic and EpigeNomic Data), a novel algorithm for integrating gene expression and DNA methylation datasets covering disjoint sets of samples
Knowledgebase— a collection of information for quantitative finance, insurance, mathematics and AI—This serves as a sprawling notebook of books, papers, code links and Jupyter notebooks across quantitative finance, insurance, AI/ML, coding/IT, maths, probability and applied statistics, organised in subject-tree folders rather than a software repo.
Predicting user's disease by using various Machine Learning models