Topic: labelencoder Goto Github
Some thing interesting about labelencoder
Some thing interesting about labelencoder
labelencoder,A spam email chacking system using the Complement-Naive-Bayes algorithm on SpamAssassin datasets
User: abhrojyoti2001
labelencoder,We have analysis their drug addiction behavior. From this research work we can identify drug addiction behavior also. We have used classification model to classified different types of drug addiction people problem.
User: abir0810
labelencoder,Dance Forms Identification: A Deep Learning Classification Problem.
User: akarsh1
labelencoder,Data cleaning tools, handling missing data, categorical data, feature scaling
User: amangelbhullar
labelencoder,Predict employee attrition using LogisticRegression and RandomForestClassifier.
User: ansu-john
labelencoder,Predicting customer churn based on customer credit card data - Mini Project for Data Mining and Analytics (18CSE355T)
User: anweasha
Home Page: https://customer-churn-predictor.herokuapp.com
labelencoder,Imbalanced Classes, Resampling techniques, filling null value, Date,Time, Alphanumeric data
User: connectkishan1
labelencoder,This machine learning project focused on predicting food delivery times. The code emphasizes essential tasks such as data cleaning, feature engineering, categorical feature encoding, data splitting, and standardization to establish a solid foundation for building a robust predictive model.
User: elmezianech
labelencoder,Using supervised machine learning to predict credit risk. Trying oversampling, under sampling, combination sampling and ensemble learning to find the model with the best fit
User: emaynard10
labelencoder,This model predicts the fare of flight on the basis of old records . In the process of completing this project - data cleaning, data processing , balancing the data and converting the categorical data into numerical data.
User: fiza-102
labelencoder,Face identification/recognition model using convolutional neural networks
User: harishanmugavelu
labelencoder,Classifying the genre of a music using deep neural networks.
User: harmanveer-2546
labelencoder,Classifying the genre of a music using deep neural networks.
User: harmanveer2546
labelencoder,Extracted users' reviews from Amazon.com and performed sentiment analysis to determine which console to purchase
User: hritiksauw199
labelencoder,Predictive Analytics
User: iamkirankumaryadav
labelencoder,Machine learning Model
User: janvikheni04
labelencoder,Project predicting geolocation from tweets as part of Yachay.ai externship
User: jodiambra
Home Page: https://jodiambra.github.io/Yachay.ai/
labelencoder,Serie A Match prediction
User: kpsijil2
labelencoder,Face Mask Detection using Convolutional Neural Network model to discern whether individuals were wearing masks in given images.
User: li-positiveandfocus
labelencoder,
User: manaliagarwal
labelencoder,With the Student Alcohol Consumption data set, we predict high or low alcohol consumption of students.
User: manaliagarwal
labelencoder,Goal is to predict the miles per gallon of the cars using different attributes
User: maoilich
Home Page: https://github.com/MaoIlich/Linear-Regression
labelencoder,In this project we built a model to predict whether a person will remain in a hypothetical trade union called the United Data Scientists Union (UDSU).
User: marileano
labelencoder,This is the Data Mining Project for predicting the student's grade before the final and Mid-2 examination. I use Python and Jupyter Notebook for this Project.
User: muhammad3245571106
labelencoder,This repository explores various techniques for handling categorical variables in data preprocessing, focusing on methods such as one-hot encoding, label encoding, and their applications in machine learning models.
User: nirmal2i43a5
labelencoder,customer segmentation of insurance comapany
User: palemravichandra
Home Page: https://palemravichandra-customer-segmentation-app2-sjbq65.streamlit.app/
labelencoder,In this project we have created a Artificial Neural Network to classify the audios along with Exploratory Data Analysis and Data Preprocessing.
User: prankur16shukla
labelencoder,Data Preprocessing for Machine Learning
User: prashantpagaree
labelencoder,Encoding: converting categorical data into a numerical data
User: pritomsh
labelencoder,Decision Tree
User: rakshasaxena
labelencoder,A machine learning model that attempts to predict whether a loan will become high risk or not
User: rb25s13
labelencoder,Data Science - Naive Bayes Work
User: saikrishnabudi
labelencoder,Data Science - Neural Networks Work
User: saikrishnabudi
labelencoder,Module 13 - I am creating a binary classification model using a deep neural network by preprocessing data for a neural network model , using the model-fit-predict pattern to compile and evaluate a binary classification model , and optimize the model.
User: shayleaschreurs
labelencoder,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
labelencoder,This repository contain all the file related to Feature Scaling,Label Encoding and corelation,Outliers Removal etc.in short it contain all files related to data preprocessing.
User: shubhamshindee
labelencoder,This MLβ project is to prove the dependencies of a motorπ in an everyday pump systemπ·ββοΈπ¨βπ
User: subhayuroy
labelencoder,Develop a supervised model which predict the price of books based on given set of features using XgboostRegressor in Python.
User: sumit2514
labelencoder,Value to Business :: Using this Regression model, the decision-makers will able to understand the properties of various products and stores which play an important and key role in optimizing the Marketing efforts and results in increased sales.
User: tejasp12
labelencoder,Mini project repository where we have implemented Credit card fraud detection using encoding, SMOTE-ing and KNN.
User: toshani
labelencoder,CyberSoft Machine Learning 03 - Descriptive Statistics
User: tynab
labelencoder,This repository is project submission for Microsoft Engage 2022 program.
User: yamini236
labelencoder,50_startups_prj3 multiple linear regression practical
User: yaminighumre
labelencoder,Mall Customer Segmentation Data
User: yujansaya
Home Page: https://www.kaggle.com/datasets/vjchoudhary7/customer-segmentation-tutorial-in-python
labelencoder,AI is developed to predict the possible surgical complications(Cataract surgery) before the surgery based on the patient's medical history
User: yuvaishu
labelencoder,This repository is totally focused on Feature Engineering Concepts in detail, I hope you'll find it helpful.
User: zuhaib1214
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