minmaxscaling

There are 0 repository under minmaxscaling topic.

erenonal / XGBoost_churn_analysis
Telecommunication Company Churn Project
telecommunications churn xgboost python machine-learning minmaxscaling numpy pandas seaborn confusion-matrix dummies classification
Language:Jupyter Notebook 7
kshitij-raj / Bike-Share-Prediction
Predictive model that tells important factors(or features) affecting the demand for shared bikes
linear-regression rfe vif dummy-variables minmaxscaling python3
Language:Jupyter Notebook 2
shubhammandhare10 / Analyzing-Forecasting-Stock-Prices
Forecasting time series data using ARIMA models. Used covariance matrix to find dependencies between stocks.
arima-forecasting correlation-matrices covariance-matrix data-analysis forecasting-models mape minmaxscaling normalization-data rmse rstudio stock-price-prediction time-series-analysis
Language:R 2
yan-vei / cybersecurity
Final Cybersecurity ML project of Marc Mestre and Yana Veitsman for Data Mining and Machine Learning course at University of Valencia, Spring 2021
cybersecurity machine-learning svc knn decision-tree minmaxscaling
Language:Python 2
bhargavflash / Customer_Churn_Modelling
Artificial Neural Network using Keras in python to identify customers who are likely to churn.
artificial-neural-networks colab-notebook churn-prediction gridsearchcv minmaxscaling visualization data-science
Language:Jupyter Notebook 1
EmamulHossen / FeatureTransformation-Assignment-
Feature transformation is a technique in machine learning that changes the way features are represented in order to improve the performance of machine learning algorithms. This can be done by transforming the features to a different scale, removing outliers, or creating new features from existing
minmaxscaling normalization robust-statistics standard-deviation standardization z-score
Language:Jupyter Notebook 1
MoinDalvs / Learn_Feature_Engineering
Data Set: House Prices: Advanced Regression Techniques Feature Engineering with 80+ Features
data-science missing-values handling-missing-value label-encoding data-transformation log-transformation minmaxscaling
Language:Jupyter Notebook 1
shreeratn / Predicting-Credit-Card-Approval
Build a machine learning model to predict if a credit card application will get approved.
python3 python sklearn sklearn-library logistic-regression logistic-regression-algorithm gridsearchcv gridsearch minmax-algorithm minmaxscaling minmaxscaler confusion-matrix labelencoder
Language:Jupyter Notebook 1
Siddharth1989 / WranglingRealEstateData
Wrangled real estate data from multiple sources and file formats, brought it into a single consistent form and analysed the results.
camelot correlation data-wrangling geopandas geopandas-dataframes linear-regression minmaxscaling model-fitting ordinary-least-squares python selenium-python selenium-webdriver web-scrapping-in-python web-scrapping-using-selenium
Language:Jupyter Notebook 1
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
clustering-algorithm hierarchical-clustering kmeans-clustering matplotlib-pyplot pandas-dataframe seaborn-plots unsupervised-machine-learning kernelpca minmaxscaling outlier-detection pca robust-scaling standard-scaler truncated-svd dendrogram outliers-detection davies-bouldin elbow-plot silhouette-score
Language:Jupyter Notebook 1
Aysenuryilmazz / DamagePropagationModellingCMAPSS
Aircraft Engine Run-to-Failure Simulation
random-forest permutationimportance mae mse minmaxscaling lstm feature-engineering featureimportances correlation-matrices heatmap earlystopping
Language:Jupyter Notebook 0
Aysenuryilmazz / HR_Analytics_EDA
Exploratory Data Analysis for HR dataset
barplot pie-chart feature-importance minmaxscaling missing-values correlation-matrices heatmap scatter-matrix outlier-detection plotly matplotlib seaborn-plots
Language:Jupyter Notebook 0
bushra-ansari / Naive-Bayes-Classifier
This project is based on a classification algorithm i.e. Naive Bayes which is run on a mobile dataset consisting of 2000 rows and 15 columns. It is a multi-class problem where mobile phones are classified in accordance with their price range. There are four classes of price ranging from 0 to 3, 0 indicating cheaper mobiles phones and 3 representing expensive mobile phones. Univariate analysis is conducted to understand individual predictors and bivariate analysis is conducted to infer relationship between predictors with other predictors and target variable. Important features are identified by Random Forest.
bivariate-analysis correlation dummies important-feature-selection minmaxscaling naive-bayes-classification random-forest-classifier randomizedsearchcv standardization univariate-analysis
Language:Jupyter Notebook 0
DataScienceVishal / Bank_Customer_Behaviour
Bank Customer Behaviour Prediction
cross-validation dummy-variables-encoding logistic-regression minmaxscaling randomizedsearchcv rfe rfecv
Language:Jupyter Notebook 0
Harunatsuko / cloud_generator
Cloud image generation with Python and OpneCV
python opencv imagegeneration generator graphics-primitives minmaxscaling colormap
Language:Jupyter Notebook 0
williamadams1 / bankmarketingdata
python binaryclassification roccurve confusionmatrix minmaxscaling
Language:Jupyter Notebook 0
badhonparvej481 / Feature-Scaling_ML
feature-scaling machine-learning minmaxscaling normalization python standardisation
Language:Jupyter Notebook
DataScienceVishal / House-Price-Prediction
Linear Regression+Decision Tree+Random Forest
decision-trees dummy-variables-encoding eda linear-regression minmaxscaling random-forest vif
Language:Jupyter Notebook
Lorsmo / Exoplanet-Exploration
Created machine learning models capable of classifying candidate exoplanets from a raw dataset.
sklearn kneighborsclassifier classification-report minmaxscaling svc gridsearchcv machine machine-learning deep-learning
Language:Jupyter Notebook
ManishShee24 / Stock-Price-Prediction
Stock price prediction is the process of forecasting future stock prices based on historical data and market indicators.
classification deep-learning keras-neural-networks machine-learning matplotlib-pyplot minmaxscaling numpy pandas-dataframe seaborn-plots yfinance-api streamlit-webapp
Language:Jupyter Notebook
ovinueza / Machine-Learning-Challenge
machine-learning support-vector-machine minmaxscaling gridsearch sklearn
Language:Jupyter Notebook
prankur16shukla / Power_Consumption_Prediction
In this project we will apply Recurrent Neural Network (LSTM) which is best suited for time-series and sequential problem, we will be creating a LSTM model, train it on data and make predictions to check its performance.
python pandas matplotlib seaborn keras tensorflow sklearn minmaxscaling feature-engineering exploratory-data-analysis
Language:Jupyter Notebook
RafeyIqbalRahman / Data-Scaling-Techniques
This repository demonstrates the scaling of the data using Scikit-learn's StandardScaler, MinMaxScaler, and RobustScaler.
datascale scikit-learn scikitlearn-machine-learning scikit-learn-python sklearn sklearn-library standardscaler minmaxscaling robust-scaling
Language:Python
yyyukeqi / Predict-Sales-Revenue-
Time Series Model
keras lstm lstm-neural-networks machine-learning minmaxscaling neural-network python tensorflow time-series
Language:Jupyter Notebook

minmaxscaling

erenonal / XGBoost_churn_analysis

kshitij-raj / Bike-Share-Prediction

shubhammandhare10 / Analyzing-Forecasting-Stock-Prices

yan-vei / cybersecurity

bhargavflash / Customer_Churn_Modelling

EmamulHossen / FeatureTransformation-Assignment-

MoinDalvs / Learn_Feature_Engineering

shreeratn / Predicting-Credit-Card-Approval

Siddharth1989 / WranglingRealEstateData

y656 / Weather-data-clustering

Aysenuryilmazz / DamagePropagationModellingCMAPSS

Aysenuryilmazz / HR_Analytics_EDA

bushra-ansari / Naive-Bayes-Classifier

DataScienceVishal / Bank_Customer_Behaviour

Harunatsuko / cloud_generator

williamadams1 / bankmarketingdata

badhonparvej481 / Feature-Scaling_ML

DataScienceVishal / House-Price-Prediction

Lorsmo / Exoplanet-Exploration

ManishShee24 / Stock-Price-Prediction

ovinueza / Machine-Learning-Challenge

prankur16shukla / Power_Consumption_Prediction

RafeyIqbalRahman / Data-Scaling-Techniques

yyyukeqi / Predict-Sales-Revenue-