minmaxscaler

There are 0 repository under minmaxscaler topic.

NotShrirang / Machine-Learning-from-Scratch
ML / DL Algorithms implemented from scratch. Developed with only numpy as dependency. Machine Learning Algorithms such as Support Vector Machine, Linear Regression, Artificial Neural Networks and other data transformation algorithms are implemented. Project is released as a python package and can be download from Python Package Installer.
knn-classification linear-regression machine-learning svm kmeans-clustering meanshift-clustering deep-learning neural-network minmaxscaler standardscaler
Language:Python 3
jha0076 / DetectAnamolyML
This is a project to detect anomalies in pump sensor data using One-Class Support Vector Machines (SVM). The data is preprocessed by dropping columns with missing values and scaled using MinMaxScaler. The one-class SVM classifier is trained and used to predict anomalies in the data, which are then saved in a new file "results.csv".
anomaly-detection minmaxscaler oneclasssvm pandas scikit-learn supervised-learning
Language:Python 1
OrNixz / predicting-credit-card-approvals
The sixth project from a Data Scientist with Python track by DataCamp
confusion-matrix gridsearchcv logistic-regression minmaxscaler supervised-learning
Language:Jupyter Notebook 1
Priyanshu7129 / stock-market-prediction-and-forecasting-using-stacked-LSTM
I have created this project as a part of virtual internship programme in data Science.
lstm matplotlib-pyplot minmaxscaler numpy pandas seaborn sklearn-library tensorflow warnings
Language:Jupyter Notebook 1
shimolina-polina / processing-of-data
Processing of data gaps, coding of categorical features, data scaling.
minmaxscaler one-hot-encoding simple-imputer missing-indicator
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
vaitybharati / EDA-1
Exploratory Data Analysis Part-1
python3 pandas numpy pandas-profiling sweetviz outlier-detection missing-values imputation data-analysis data-visualization seaborn sklearn minmaxscaler dummy-data-generator standard-scaler
Language:Jupyter Notebook 1
exc-jdbi / MinMaxScalerBytes
A small scaling algorithm for integer sequences.
algorithm csharp integers minmaxscaler number-sequences sequences compresstransformation compress compress-files compression compression-algorithm
Language:C# 0
Gopinathalpha7 / E-Commerce_Customer_Segmentation
[ Analyzing the existing customer data and getting valuable insights about the purchase pattern ] | K-Means clustering | silhouette score | minmaxscalar |
eda kmeans kmeans-clustering machine-learning python kmean-clusters minmaxscaler silhouette-method
Language:Jupyter Notebook 0
IvanSaravanja2306 / Credit_Card_Approval_Prediction
Credit Card Approval Prediction based on users' historic data.
decision-tree minmaxscaler pca bivariate-analysis decision-tree-classifier eda-analyses feature-selection knn-classification logistic-regression model-evaluation random-forest shap
Language:Jupyter Notebook 0
lingumd / Cryptocurrencies
Unsupervised machine learning models used to group the cryptocurrencies to help prepare for a new investment.
concatenate elbow-curves hvplot kmeans matplotlib-pyplot minmaxscaler pandas path pca-analysis plotly-express scikit-learn unsupervised-machine-learning jupyterlab get-dummies
Language:Jupyter Notebook 0
sfansaria / GaussianMixtureModel-Anomaly-Detection
Anomaly Detection Using Gaussian Mixture Model
3dplot customer-segmentation datavisualization gaussian-mixture-models matplotlib-pyplot minmaxscaler normalization preprocessing
Language:Jupyter Notebook 0
shreyas-singhal / Bike-Sharing-Case-Study
The Bike Sharing Company wants to understand the independent variables on their past data to analyze and create a machine learning model to understand the demand of the bike and accordingly plan a business strategy.
python boxplot data-cleaning data-preparation-and-analysis dummy-variables exploratory-data-analysis heatmap jupyter-notebook linear-regression-models matplotlib-python minmaxscaler numpy-library pandas-library seaborn-plots testing-data training-data
Language:Jupyter Notebook 0
sreedivyakudupudi / customer_churn
Customer churn prediction using deep learning
deep-learning keras minmaxscaler tensorflow
Language:Jupyter Notebook 0
deva-246 / K-Means-Clustering-using-Python-on-Employees-Income-and-Age
age elbow-method employeeincomebased kmeans-clustering matplotlib minmaxscaler pandas scatterplot sklearn-library unsupervised-machine-learning
Language:Jupyter Notebook
elifftosunn / RFM-Customers-Analysis
RFM analysis focuses on identifying and segmenting customers based on their purchasing behavior. Analyzed to understand and interact with customers. It can be used together for more effective marketing and customer management strategies.
rfm-analysis apriori-algorithm association-rules datetime fpgrowth kmeans-clustering matplotlib-pyplot minmaxscaler numpy pandas python3 rfm seaborn silhouette-score sklearn tableau cohort-analysis
Language:Jupyter Notebook
iamkirankumaryadav / Churn
Customer Churn Prediction
python numpy pandas churn-prediction matplotlib seaborn sweetviz scikit-learn preprocessing exploratory-data-analysis model-selection minmaxscaler ridgeclassifier ensemble-learning random-forest-classifier grid-search-cross-validation accuracy-score
Language:Jupyter Notebook
Logahn / book-recommendation-system
A Book Recommendation System that utilizes Python libraries such as numpy, pandas, seaborn, and matplotlib to recommend books based on user input.
minmaxscaler
Language:Python
MylieMudaliyar / Feature-Engineering-Techiques-on-House-Values
The feature engineering techniques discussed are - dimensionality reduction(pca), scaling(standard scaler, normalizer, minmaxscaler), categorical encoding(one hot/dummy), binning, clustering, feature selection. These are techniques performed on a dataset consisting of Californian House Prices.
binning categorical-encoding dimensionality-reduction feature-engineering kmeans-clustering linear-regression mean-absolute-error minmaxscaler normalizer one-hot-encoding pca python random-forest-regressor standardscaler
Language:Jupyter Notebook
nani757 / Pipelines
pipelines chains together multiple steps so that the output of each step is used as input to the next step
chi2 columntransformer cross-validation-score decisiontreeclassifier gridsearchcv minmaxscaler onehotencoder pickle pipelines selectkbest simpleimputer make-pipeline
Language:Jupyter Notebook
suyinwb / Cryptocurrencies
The data Martha will be working with is not ideal, so it will need to be processed to fit the machine learning models. Since there is no known output for what Martha is looking for, she has decided to use unsupervised learning. To group the cryptocurrencies, Martha decided on a clustering algorithm. She’ll use data visualizations to share her findings with the board.
python hvplot sklearn plotly-express standardscaler minmaxscaler pca kmeans kmeans-clustering
Language:Jupyter Notebook
Vineeta12345 / KMeans
Performing kmeans clustering and also providing elbow plot
python python3 kmeans-clustering elbow-plot scaler minmaxscaler
Language:Python

minmaxscaler

NotShrirang / Machine-Learning-from-Scratch

jha0076 / DetectAnamolyML

OrNixz / predicting-credit-card-approvals

Priyanshu7129 / stock-market-prediction-and-forecasting-using-stacked-LSTM

shimolina-polina / processing-of-data

shreeratn / Predicting-Credit-Card-Approval

vaitybharati / EDA-1

exc-jdbi / MinMaxScalerBytes

Gopinathalpha7 / E-Commerce_Customer_Segmentation

IvanSaravanja2306 / Credit_Card_Approval_Prediction

lingumd / Cryptocurrencies

sfansaria / GaussianMixtureModel-Anomaly-Detection

shreyas-singhal / Bike-Sharing-Case-Study

sreedivyakudupudi / customer_churn

deva-246 / K-Means-Clustering-using-Python-on-Employees-Income-and-Age

elifftosunn / RFM-Customers-Analysis

iamkirankumaryadav / Churn

Logahn / book-recommendation-system

MylieMudaliyar / Feature-Engineering-Techiques-on-House-Values

nani757 / Pipelines

suyinwb / Cryptocurrencies

Vineeta12345 / KMeans