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48 search results found

Ml For Beginners ⭐ 63,698

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Modeltime ⭐ 483

Modeltime unlocks time series forecast models and machine learning in one framework

vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under choice of GPL-2 or GPL-3 license.

Snapatac ⭐ 227

Analysis Pipeline for Single Cell ATAC-seq

Openml R ⭐ 90

R package to interface with OpenML

Using Kalman Filter to Predict Corona Virus Spread

Whitehat ⭐ 66

Information about my experiences in cybersecurity 💀

Genieclust ⭐ 53

Genie: Fast and Robust Hierarchical Clustering with Noise Point Detection - in Python and R

Predictivesoilmapping ⭐ 48

Predictive Soil Mapping with R (book)

🤠 📿 The Highly Adaptive Lasso

Liquidsvm ⭐ 45

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-s

Subsemble ⭐ 39

subsemble R package for ensemble learning on subsets of data

R Data Structures And Algorithms ⭐ 34

R Data Structures and Algorithms, published by Packt

Ml Simulations ⭐ 28

Animated Visualizations of Popular Machine Learning Algorithms

Rcppmlpack2 ⭐ 25

Rcpp Interface to mlpack (version 2.1.0 and up)

Anomaly_detection ⭐ 25

anomaly detection with anomalize and Google Trends data

R Programming Books For Data Science ⭐ 23

Seating_chart ⭐ 21

Optimizing a Wedding Reception Seating Chart Using a Genetic Algorithm

Genie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)

Socialpowernba ⭐ 20

Social Power in the NBA (Comparing on the court performance with Social Influence in R and Python)

Datacamp Courses Megacollection ⭐ 18

70+ DataCamp Course Notes, Projects, Codes, Exercises on Python, R and SQL with full DS & ML Certification,

A Guide To Machine Learning In R ⭐ 17

A series of articles to get started into the field of Machine Learning with R language

Statistical Learning Using R ⭐ 16

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.

Lightweight Machine Learning Classics with R (Book Draft)

Machine Learning Templates ⭐ 13

Time_series_anomaly_detection_examples ⭐ 13

Several examples of anomaly detection algorithms for time series data.

Taller_sparkr ⭐ 12

Taller SparkR para las Jornadas de Usuarios de R

Machine Learning algorithms coded from scratch

Densratio ⭐ 10

An R Package for Density Ratio Estimation

Shortform ⭐ 10

Algorithms for creating short forms based on psychometric principles.

Spatial Sampling Ml ⭐ 9

Rmarkdown tutorial on how to generate spatial sampling and how to use resampling methods for ML

Recommendation Engine ⭐ 8

Recommendation engine and it's algorithms in python , R .

Code_machine_learning_algorithms ⭐ 7

Machine learning algorithms

Shiny_netpredictor ⭐ 7

Functions and code snippets to help save the time!

Data Science With R ⭐ 6

Data Science | Machine Learning | Data Analysis

Applied Machine Learning ⭐ 6

Applied Machine Learning

Machinealgobox ⭐ 6

Explore common ML algorithms, from scratch implementations to real-world use cases, Each algorithm is accompanied by clear explanations, code implementations, and real-world use cases, enabling you to grasp their underlying principles and apply them to different problem domains.

Weighted Shapley Values and Weighted Confidence Intervals for Multiple Machine Learning Models and Stacked Ensembles

Applying Deep Machine Learning for psycho-demographic profiling of Internet users using O.C.E.A.N. model of personality.

Reservoirr ⭐ 5

Experimental R interface for ReservoirPy

Machine Learning ⭐ 5

Basic ML concepts in Python and R

Datamingtutorial ⭐ 5

DatamingTutorial

Ccdralgorithm ⭐ 5

Structure learning for Bayesian networks using the CCDr algorithm.

Feedzai Openml R ⭐ 5

Implementations for Feedzai's OpenML APIs to allow for usage of machine learning models in the R programming language.

Jaspmachinelearning ⭐ 5

The Machine Learning Module

R package for the GenSVM classifier

Regression With Python And R ⭐ 5

Regression with Python & R.

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