min-max-scaler

There are 13 repositories under min-max-scaler topic.

  • jeremy191/clustering-based-anomaly-detection

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

    Language:Jupyter Notebook530012

  • shanuhalli/Assignment-Clustering

    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.

    Language:Jupyter Notebook3101

  • vaitybharati/P23.-EDA-1

    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).

    Language:Jupyter Notebook3101

  • coreydevinanderson/ESDA.js

    Simple statistical functions that are useful for exploratory spatial data analysis (ESDA) on-the-fly in JavaScript

    Language:JavaScript1000

  • shanuhalli/Assignment-Logistic-Regression

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

    Language:Jupyter Notebook110

  • shanuhalli/Assignment-PCA

    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.

    Language:Jupyter Notebook110
  • Finding-Donors-for-Charity-using-Machine-Learning

    sushantdhumak/Finding-Donors-for-Charity-using-Machine-Learning

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

    Language:Jupyter Notebook1102

  • ahmetzeki/sorting_reviews_in_Amazon

    Evaluating the reviews and sorting them correcly in Amazon

    Language:Python0100

  • chinmayeeguru/Lead-Scoring-Logistic-Regression-Model

    To predict which customer is most likely to convert

    Language:Jupyter Notebook0100

  • RachitaGurudev/Election-Exit-Poll-Prediction

    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.

    0100

  • saikrishnabudi/Clustering

    Data Science - Clustering Work

    Language:Jupyter Notebook0100

  • LorenzoRottigni/ML-wines

    Machine Learning course of Piero Savastano 6: scaling, MinMaxScaler, KNeighborsClassifier, accuracy_score

    Language:Python10

  • saikrishnabudi/PCA-Principal-Component-Analysis

    Data Science - PCA (Principal Component Analysis)

    Language:Jupyter Notebook10