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GitHub topics: outlier-analysis

hsynadguzel/AAPL_Stock_Regression_Analysis

This repo includes regression analysis on AAPL stock. Basic statistics, visualization, outlier detection and regression modeling steps are included.

Language: Jupyter Notebook - Size: 359 KB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 1 - Forks: 0

mayer79/outForest

Outlier detection based on random forest models

Language: R - Size: 2.63 MB - Last synced at: about 12 hours ago - Pushed at: about 1 month ago - Stars: 13 - Forks: 2

Edanur-Y/Abalone-Age-Prediction-with-Regression-Models

Comparing the performances of simple linear, multiple linear, multi-layer perceptron and k-nearest neighbors regressions on abalone data to predict the age.

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Edanur-Y/Agricultural-Yield-Prediction-with-Multiple-Linear-Regression

Performing multiple linear regression analysis on agricultural data to predict the yield.

Size: 27.3 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

mrunmaim16/CSE-5334-Programming-Assignments

Programming assignments completed for course CSE - 5334 Data Mining under Professor Dr. Marnim Galib.

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BetulKarakaya/Salary-Predictor-Employees-Dataset

This project predicts employee salaries based on factors like gender, department, experience, and location, providing insights and accurate salary predictions through statistical and machine learning methods.

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melodiw82/Rayan_AI

Vault of variety of topics taught for Rayan Contest

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tanvir-ishraq/business-predictions-project-and-analysis

Business analysis and Business prediction with Pandas on tabular data using statistics and sklearn

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JWarson/Masterthesis

Contains R code used to analyse SNP data of the alcon blue butterfly and the marsh gentian

Language: R - Size: 66.4 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Prashant812/Data-Cleaning

Handling Missing Values and Outliers

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alifrmf/Customer-Segmentation-Using-Clustering-Algorithms

Customer Segmentation Using Unsupervised Machine Learning Algorithms

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egawati/micoes

Micro-clusters-based Outlier Explanations for Data Streams

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shreyas-singhal/Lead-Scoring-Case-Study

X Education Organization wants to identify if a customer registered on their website for enquiry is a potential customer or not. Using past data to build a machine learning algorithm

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minsoo9506/catchMinor-research

research about imbalanced learning & anomaly detection (tabular, time series)

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katarinastuart/Sv1_StarlingGBS

Scripts and notes related to the manuscript: Stuart KC & Cardilini APA 2021 Signatures of selection in a recent invasion reveal adaptive divergence in a highly vagile invasive species. Molecular Ecology 30(6):1419-1434, doi.org/10.1111/mec.15601 † joint first author ‡ joint last author.

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katarinastuart/Sv4_HistoricalStarlings

Scripts and notes related to the manuscript: Stuart KC et al. 2022. Historical museum samples enable the examination of divergent and parallel evolution during invasion. Molecular Ecology, 31(1): 1836-1852, doi.org/10.1111/mec.16353

Size: 556 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

chinmayeeguru/Loan-Default-Risk-Analysis

To identify customers who are more likely to default loan repayment

Language: Jupyter Notebook - Size: 1.46 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

Related Keywords
outlier-analysis 17 exploratory-data-analysis 4 machine-learning 4 python 4 data-science 3 regression 3 regression-models 2 statistics 2 invasive-species 2 random-forest 2 genomics 2 data-analysis 2 clustering 2 univariate-analysis 2 r 2 bivariate-analysis 2 decision-trees 2 machine-learning-algorithms 2 data-cleaning 2 pandas 2 data-visualization 2 sklearn 1 kmeans-clustering 1 hyperparameter-selection 1 hirarchical-clustering 1 standard-deviation 1 support-vectors 1 gaussian-mixture-clustering 1 feature-importance 1 dbscan-clustering 1 data 1 customer-segmentation 1 bayescan 1 cleaning-data 1 genetics 1 agglomerative-clustering 1 pandas-library 1 hierfstat 1 lea 1 pcadapt 1 rda 1 matplotlib-pyplot 1 snps 1 risk-analysis 1 eda 1 data-exploration 1 correlation 1 vcf 1 museum-samples 1 evolution 1 dart-seq 1 bioinformatics 1 rapid-adaptation 1 population-structure 1 population-genetics 1 imbalanced-learning 1 deep-learning 1 anomaly-detection 1 outlier-treatment 1 model-building 1 logistic-regression-algorithm 1 dummy-variables 1 cleaning-data-in-python 1 outlier-explanation 1 outlier-description 1 anomaly-explanation 1 anomaly-description 1 unsupervised-learning 1 minibatchkmeans-clustering 1 hierarchical-clustering 1 evaluating-models 1 data-science-tools 1 data-science-applications 1 data-preprocessing 1 big-data 1 bayesian-classifiers 1 association-rule-mining 1 multiple-linear-regression 1 missing-data-imputation 1 recursive-feature-elimination 1 missing-values-analysis 1 hyperparameter-tuning 1 rstats 1 outlier-detection 1 outlier 1 regression-analysis 1 regression-algorithms 1 predictive-analytics 1 numpy 1 normal-distribution 1 linear-regression 1 fundamental-analysis 1 data-visualization-project 1 data-visualisation 1 cvs 1 apple 1 matplotlib 1 svm 1 smote-oversampler 1 pytorch-cnn 1