rares9301/anomaly-detection

simple but efficient kernel regression and anomaly detection algorithms

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MIT-SPARK/CertifiablyRobustPerception

Certifiable Outlier-Robust Geometric Perception

Language: MATLAB - Size: 12.4 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 114 - Forks: 16

thierrygosselin/radiator

RADseq Data Exploration, Manipulation and Visualization using R

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jbytecode/LinRegOutliers

Direct and robust methods for outlier detection in linear regression

Language: Julia - Size: 1.47 MB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 44 - Forks: 6

sondosaabed/PalTaqdeer

🇵🇸 PalTaqdeer is an AI-Driven Student Success Forecaster. Was developed for Hackathon Google Launchpad, data analysis techniques, Linear regression model, and Flask for the web 🇵🇸

Language: Jupyter Notebook - Size: 1.31 MB - Last synced at: 17 days ago - Pushed at: over 1 year ago - Stars: 25 - Forks: 0

AlexLietard/otpsy

Toolkit to assist life science researchers in detecting outliers

Language: Python - Size: 530 KB - Last synced at: 18 days ago - Pushed at: 5 months ago - Stars: 6 - Forks: 0

thanhtbt/tensor_tracking_survey

[IEEE TKDE 2023] A list of up-to-date papers on streaming tensor decomposition, tensor tracking, dynamic tensor analysis

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madhurima-nath/regression_and_predictions 📦

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rupeshsure/Obstructive-Sleep-Apnea-Project

Obstructive Sleep Apnea classification with help of numerical data set which having the physical body characteristics with the help of machine learing

Language: Jupyter Notebook - Size: 48 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

alinasahoo/python-data-science-essentials-1

This repository contains my learning path of python for data-science essential training(part-1). Here, I have included chapter-wise topics and my practice problems. Also, feel free to checkout for better understanding.

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jeppbautista/pydatalook

A tool for simple data analysis. A rip-off of R's dlookr package (https://github.com/choonghyunryu/dlookr)

Language: Python - Size: 21.5 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 0

antononcube/Python-Regressionizer

Python package with a class that allows pipeline-like specification and execution of regression workflows.

Language: Python - Size: 4.89 MB - Last synced at: 7 days ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

ChristianGoueguel/ConfidenceEllipse

The ConfidenceEllipse package provides functions for computing the coordinate points of confidence ellipses and ellipsoids for a given bivariate and trivariate dataset, at user-defined confidence level.

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manabil/Applied_Machine_Learning

👨‍💻 Learn how to implement a model of machine learning to solve a real problem

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MuhammadUsmanTipu/Classification-IBM-Project

The dataset is about past loans. The loan_train.csv data set includes details of 346 customers whose loans are already paid off or defaulted.

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k-papadakis/datadriven-labs

Exercises on Timeseries Decompositions, Monte Carlo Simulations, and Outlier Detection

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y656/Weather-data-clustering

This repository contains clustering techniques applied to minute weather data. It contains K-Means, Heirarchical Agglomerative clustering. I have applied various feature scaling techniques and explored the best one for our dataset

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MoinDalvs/Assignment_Multi_linear_regression_2

Consider only the below columns and prepare a prediction model for predicting Price. Corolla<-Corolla[c("Price","Age_08_04","KM","HP","cc","Doors","Gears","Quarterly_Tax","Weight")]

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MoinDalvs/Learn_Multi_Linear_Regression

Prediction of Miles per gallon (MPG) Using Cars Dataset

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ChristianGoueguel/Cellwise-Outliers-Detection-in-Optical-Emission-Spectroscopy

Rowwise outliers detection is the most common action most spectroscopists/chemometricians take to deal with discordant reading. However, an alternative method such as MacroPCA enables to account for cellwise outliers in spectroscopic analysis.

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abhijha3011/Feature-Engineering-Techniques

Techniques to Explore the Data

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razamehar/Statistical-Analysis-on-the-Boston-Housing-data

R-based statistical analysis of Boston Housing Data. Explored feature scales, computed descriptive stats, visualized data, and identified outliers (e.g., higher crime rates in specific areas). Examined variable relationships, calculated correlation coefficients, and presented findings via cross-classifications.

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ZlatanSU87/DataCleaningProject

Демонстрация применения различных методов очистки данных

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paogam1997/Kalman-NL-Filters

Files created to the Identificazione dei Sistemi Incerti project. Implemented Kalman Filter, EKF, UKF and a smoother. The Matlab files contain also the white-noise charaterzation of the signal and the outliers identification.

Language: MATLAB - Size: 39.1 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

kaiquefreire05/dimensionality-reduction-outlier-detection

- Repository that stores studies on dimensionality reduction and identification of outliers.

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ZofiaQlt/sales_analysis

🎯 Database optimization and sales performance analysis for a fine wine company seeking to improve their data management practices and data maturity level - use of Python and JupyterLab (Business insights, Data collection, Cleaning, EDA, and Data Visualization)

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ShreyaPatil1199/Laptop-Price-Predictor

Predict laptop prices using machine learning. This project leverages multiple linear regression to achieve an 82% prediction precision. Explore the influence of features like brand, specs, and more on laptop prices.

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scrab017/RarPG

A scalable unsupervised learning of scRNAseq data detects rare cells through integration of structure-preserving embedding, clustering and outlier detection

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KimberlyCrawford/Kickstarter-Analysis

A Descriptive Data Analysis using Microsoft Excel's advanced data analysis tools.

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thanhtbt/ROTDL

[APSIPA ASC 2022] "Robust Online Tucker Dictionary Learning from Multidimensional Data Streams". In Proc. 14th APSIPA Annual Summit and Conference, 2022.

Language: MATLAB - Size: 682 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

ashishyadav24092000/Exploratory_data_analysis3

In this repository I have performed Exploratory Data Analysis on the dataset student_performance.csv. In which i have tried to detect outliers,missing values,relationship among features and across features,Categorical data and continuous/numerical data.

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ashishyadav24092000/EDA_on_HousePrice

In this repository I have performed Exploratory data analysis on the dataset famously known as House Price Prediction.

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AkashSDas/classify-customer-churn

Classification model to classify whether a customer is going to churn or not. Using the dataset EDA is done.

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aefdz/localFDA

Localization processes for functional data analysis. Software companion for the paper “Localization processes for functional data analysis” by Elías, A., Jiménez, R., and Yukich, J. (2020)

Language: R - Size: 2.25 MB - Last synced at: 14 days ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1

rpetrasch/ArduinoRunningMedian

Simple heap and running median (min/max heaps) implementation for small dev. boards like Arduino.

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