min-max-scaler

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jeremy191 / clustering-based-anomaly-detection

This clustering based anomaly detection project implements unsupervised clustering algorithms on the NSL-KDD and IDS 2017 datasets

anaconda clustering dataset kmeans-clustering lof anomaly-detection f1-score ids2017 normalized-mutual-info nsl-kdd isolation-forest missing-values onehot-encoder dbscan-algorithm clustering-algorithms min-max-scaler simple-imputer score-metrics

Updated Dec 5, 2019
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shanuhalli / Assignment-Clustering

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Perform Clustering (Hierarchical, K Means Clustering and DBSCAN) for the airlines and crime data to obtain optimum number of clusters. Draw the inferences from the clusters obtained.

clustering exploratory-data-analysis dimensionality-reduction data-preprocessing dbscan-clustering dendogram k-means-clustering elbow-method min-max-scaler silhouette-score hirarchical-clustering standard-scaler assignment-07

Updated Dec 28, 2022
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vaitybharati / P23.-EDA-1

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EDA (Exploratory Data Analysis) -1: Loading the Datasets, Data type conversions,Removing duplicate entries, Dropping the column, Renaming the column, Outlier Detection, Missing Values and Imputation (Numerical and Categorical), Scatter plot and Correlation analysis, Transformations, Automatic EDA Methods (Pandas Profiling and Sweetviz).

python data exploratory-data-analysis transformations eda scatter-plot outlier-detection pandas-profiling categorical-data correlation-analysis numerical-data min-max-scaler missing-value-imputation sweetviz standard-scaler auto-eda data-type-conversion

Updated May 28, 2021
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sushantdhumak / Finding-Donors-for-Charity-using-Machine-Learning

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Machine Learning Nano-degree Project : To help a charity organization identify people most likely to donate to their cause

feature-selection supervised-learning accuracy confusion-matrix data-preprocessing data-normalization tuning-parameters gradient-boosting f1-score feature-importance gridsearchcv finding-donors naive-predictor skewed-data min-max-scaler fbeta-score

Updated Oct 19, 2019
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shanuhalli / Assignment-Logistic-Regression

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Predicting Customer Response to Telemarketing Campaigns for Term Deposit. Output variable Whether the client has subscribed a term deposit or not.

machine-learning exploratory-data-analysis regression logistic-regression data-preprocessing evaluation-metrics log-transformation auc-roc-curve min-max-scaler sklearn-metrics assignment-06

Updated Dec 25, 2022
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ahmetzeki / sorting_reviews_in_Amazon

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Evaluating the reviews and sorting them correcly in Amazon

min-max-scaler wilson-lower-bound

Updated Jul 23, 2023
Python

RachitaGurudev / Election-Exit-Poll-Prediction

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News channel CNBE wants to analyze recent elections. This survey was conducted on 1525 voters with 9 variables. Model is built to predict which party a voter will vote for on the basis of the given information, to create an exit poll that will help in predicting overall win and seats covered by a particular party.

exploratory-data-analysis naive-bayes-classifier logistic-regression min linear-discriminant-analysis gradient-boosting ada-boost-classifier knn-classifier min-max-scaler

Updated Jul 18, 2024

saikrishnabudi / PCA-Principal-Component-Analysis

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Data Science - PCA (Principal Component Analysis)

sklearn exploratory-data-analysis pca-analysis pca t-sne data-preprocessing dendogram min-max-scaler silhouette-score standard-scaler hierarchial-clustering

Updated Jan 7, 2024
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shanuhalli / Assignment-PCA

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Perform Principal component analysis and perform clustering using first 3 principal component scores both Heirarchial and K Means Clustering and obtain optimum number of clusters and check whether we have obtained same number of clusters with the original data.