jordanmendler/project-cheatsheet

Compilation of cheatsheets related to AI, Machine Learning, Software Development, etc

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spsanderson/steveondata

Repository for mainly R tips and tricks for my blog. I also include some VBA, SQL, C and Linux Usage.

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trungngv/datascience

Template for data science projects (R-based) which includes a few useful utilities.

Language: R - Size: 43 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 0

NiranjanStack/Customer-Behavior-Analysis-in-R-Shiny

Analyzing transactions of a retailer to predict promotional items.

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yuka-with-data/freedom_gap_index

[Ongoing] My goal for this portfolio project is to demonstrate my skill and knowledge in Machine Learning in R language.

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AkashSaxenaOfficial/Employee_Absenteeism

The task is to build a machine learning regression model will predict the number of absent hours. As Employee absenteeism is a major problem faced by every employer which eventually lead to the backlogs, piling of the work, delay in deploying the project and can have a major effect on company finances. The aim of this project is to find an issue which eventually leads toward the absence of an employee and provide a proper solution to reduce the absenteeism

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7Aishwarya/Machine-Learning

Machine Learning A-Z™ Hands-On Python & R In Data Science

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fabianofilho/MLS

Machine Learning in Healthcare Course with R

Language: R - Size: 22 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 2

rusergroupstgallen/rusergroupstgallen.github.io

This is the repo hosting resources of the R User Group at the University of St. Gallen.

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manvimadandotai/workout-training-using-ml

This repository contains the implementation of the research paper tVelloso, E., Bulling, A., Gellersen, H., Ugulino, W. and Fuks, H., 2013, March. Qualitative activity recognition of weight lifting exercises. In Proceedings of the 4th Augmented Human International Conference (pp. 116-123).

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sharikalog7/Corrosion-Rate-Prediction-Using-Machine-Learning

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thedvlprguy/CleanEnergyPrediction

Read The Blog From Here:

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mcmvp9/propensityscore_analysis

This repository is associated with propensity score analysis utilizing machine learning algorithms to examine the impact of health insurance on duration of hospital stay in the NYC SPARCS 2015 In-patient discharges dataset.

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beatrizeg/MovieRecommendation

The goal of this project is to use different Machine Learning algorithms to try to predict the rating that an user will give to a movie. To achieve this, we will use the Machine Learning models and statistics that we have learnt during the Data Science course and we will finally choose the one that gets the minimum RMSE number. The dataset is allocated in http://files.grouplens.org/datasets/movielens/ml-10m.zip and has been pre-processed to achieve the movielens dataset

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NisrineBennor/Langage_R_Data_Visualisation_Machine_Learning

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helioribeiro/helioribeiro.github.io

REPOSITORY FOR MY SOFTWARE DEVELOPMENT AND DATA SCIENCE PORTFOLIO.

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SayanAndrews2002/Machine-Learning-Heart-Patient-Data-Project

Used R to visualize and analyze a dataset of heart patients with many predictor variables. Evaluated several machine learning models, such as logistic, linear discriminant analysis, quadratic analysis model, and K-nearest neighbors model, to find best fit for the data. Used random forests for tuning and cross validation.

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Rukkha1024/Improving-Readers-App-Recommendations-with-ML-Analysis

This project was conducted as part of the 'Data Prediction Model' class during the 2023-1

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justinhamilton125/Justin_Hamilton_Portfolio

This is my portfolio containing files I have used for my various projects

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rathina98/car_insurance_claim_pred

Along with the visualization of the data, classification model was built to predict whether a car gets the insurance claim or not.

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KAR-NG/Credit-Card-Market-Segmentation

VEV model from Mclust among 5 clustering algorithms has optimal performance and detected 8 distinct groups of users. Data was cleaned, standardized and feature-selected, PCA’s biplot, Ggplot, Radar plots, and parallel coordinate plots were applied for EDA.

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KAR-NG/Food-Poison-Survey-Analysis-using-Multiple-Correspondence-Analysis

This project applies multiple correspondence analysis (MCA) with the techniques in scree plot, variable plots, individual plots, biplot, cosine square (CO2) and contribution statistcs (contrib) to detect trends in the multivariate food poisoning survey dataset and identified the most probable food that caused the food poison. MCA is one of the principal component methods, and principal componet methods belong to the "unsupervised" machine learning branch.

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ethan-gruis/wine_reviewer

Using Machine Learning to predict wine review scores based on binarized tasting notes

Language: R - Size: 208 MB - Last synced at: 7 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

FraMaBu/Alternative-Fuels-Random-Forest

In this project I am interested in classifying if existing vessels have the option of using alternative fuels based on vessel specific features.

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an-anurag/learn-machine-learning-R

Master the skills of machine learning with R. Full course code snippets

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suneelpatel/Machine-Learning-with-R

This repository serves as an excellent introduction to implementing machine learning algorithms with R in depth such as linear and logistic regression, decision tree, random forest, SVM, Naive Bayes, KNN, K-Mean Cluster, PCA, Time Series Analysis and so on.

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devdatta95/Polynomial-Regression-For-Salary-Prediction

A simple R program that implements a very basic Polynomial Regression on a small data set. Because these data set don't have liner relationship between independent variable and dependent variable. so if we use the liner model then well get very High error. so in these example w'll compare both the model and select which one is best.

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alisonjing/CSX415-Data-Science-and-Principles

Berkeley Data Science and Principles Course

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