Topic: minmaxscaler Goto Github
Some thing interesting about minmaxscaler
Some thing interesting about minmaxscaler
minmaxscaler,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.
User: elifftosunn
minmaxscaler,A small scaling algorithm for integer sequences.
User: exc-jdbi
minmaxscaler,[ Analyzing the existing customer data and getting valuable insights about the purchase pattern ] | K-Means clustering | silhouette score | minmaxscalar |
User: gopinathalpha7
Home Page: https://github.com/Gopinathalpha7/E-Commerce_Customer_Segmentation.git
minmaxscaler,Customer Churn Prediction
User: iamkirankumaryadav
minmaxscaler,Credit Card Approval Prediction based on users' historic data.
User: ivansaravanja2306
minmaxscaler,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".
User: jha0076
minmaxscaler,Unsupervised machine learning models used to group the cryptocurrencies to help prepare for a new investment.
User: lingumd
minmaxscaler,A Book Recommendation System that utilizes Python libraries such as numpy, pandas, seaborn, and matplotlib to recommend books based on user input.
User: logahn
minmaxscaler,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.
User: myliemudaliyar
minmaxscaler,pipelines chains together multiple steps so that the output of each step is used as input to the next step
User: nani757
minmaxscaler,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.
User: notshrirang
Home Page: https://pypi.org/project/AgainML/
minmaxscaler,The sixth project from a Data Scientist with Python track by DataCamp
User: ornixz
minmaxscaler,I have created this project as a part of virtual internship programme in data Science.
User: priyanshu7129
minmaxscaler,Anomaly Detection Using Gaussian Mixture Model
User: sfansaria
minmaxscaler,Processing of data gaps, coding of categorical features, data scaling.
User: shimolina-polina
minmaxscaler,Build a machine learning model to predict if a credit card application will get approved.
User: shreeratn
Home Page: https://github.com/shreeratn/Predicting-Credit-Card-Approval
minmaxscaler,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.
User: shreyas-singhal
minmaxscaler,Customer churn prediction using deep learning
User: sreedivyakudupudi
minmaxscaler,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. Sheβll use data visualizations to share her findings with the board.
User: suyinwb
minmaxscaler,Exploratory Data Analysis Part-1
User: vaitybharati
minmaxscaler,Performing kmeans clustering and also providing elbow plot
User: vineeta12345
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