labelencoder

There are 0 repository under labelencoder topic.

Manaliagarwal / Student-Alcohol-Consumption-Detection-
With the Student Alcohol Consumption data set, we predict high or low alcohol consumption of students.
labelencoder standardscaler sklearn numpy pandas chi2-distance selectkbest mlp-classifier accuracy-score classification-report math
Language:Jupyter Notebook 4
encoding-techniques
pritomsh / encoding-techniques
Encoding: converting categorical data into a numerical data
datalabeling dataprocessing machine-learning python labelencoder onehot-encoding ordinal-encoding
Language:Jupyter Notebook 3
Manaliagarwal / Predicting-Salaries-of-Hiring-Employees
labelencoder standardscaler
Language:Jupyter Notebook 2
tejasp12 / Retail--Big-Mart_Sales_Analysis
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.
data-analysis feature-engineering feature-selection onehot-encoding onehot-encoder labelencoder linear-regression linear-models multiple-linear-regression mean-square-error numpy pandas sklearn matplotlib
Language:Jupyter Notebook 2
Abhrojyoti2001 / Email-Spam-Classifier
A spam email chacking system using the Complement-Naive-Bayes algorithm on SpamAssassin datasets
complement-naive-bayes count-vectorizer labelencoder naive-bayes-classifier pickle streamlit
Language:Jupyter Notebook 1
Akarsh1 / Dance-Forms-Classification-
Dance Forms Identification: A Deep Learning Classification Problem.
hackathon machine-learning convolutional-neural-networks accuracy-metrics xception-model transfer-learning data-augmentation hyperparameter-tuning labelencoder deep-learning
Language:Jupyter Notebook 1
connectkishan1 / feature-engineering
Imbalanced Classes, Resampling techniques, filling null value, Date,Time, Alphanumeric data
feature-extraction imbalanced-data labelencoder onehotencoder outlier-detection outlier-removal python smote svm-classifier
Language:Jupyter Notebook 1
Harmanveer2546 / Music-Genre-Classification
Classifying the genre of a music using deep neural networks.
cnn deep-learning ipython keras knn labelencoder librosa music numpy pandas pickle python scipy sequential svc tensorflow
Language:Jupyter Notebook 1
hritiksauw199 / Xbox-Series-X-vs-PS5-A-Sentiment-Analysis-Study
Extracted users' reviews from Amazon.com and performed sentiment analysis to determine which console to purchase
re bs4 data-science labelencoder nlp pandas porterstemmer ps5 sentiment-analysis smote supervised-machine-learning tidf wordcloud xbox
Language:Jupyter Notebook 1
iamkirankumaryadav / Predictive-Analytics
Predictive Analytics
predictive-analytics pandas numpy matplotlib seaborn scikit-learn linear-regression polynomial-regression support-vector-regression decision-tree-regression random-forest-regression hyperparameter-optimization labelencoder onehotencoder minmaxscalar normalization standardscaler standardization python
Language:Jupyter Notebook 1
jodiambra / Yachay.ai
Project predicting geolocation from tweets as part of Yachay.ai externship
adam deep-learning haversine huggingface-pipeline huggingface-transformers keras machine-learning neural-network nlp plotly-express streamlit tensorflow tweet-analysis menet kmeans-clustering labelencoder
Language:HTML 1
marileano / Determining-Trade-Union-Status
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).
python machine-learning pca-analysis sklearn logistic-regression decision-tree-classifier random-forest-classifier standardscaler labelencoder cross-validation rfe svc seaborn numpy pandas matplotlib-pyplot
Language:Jupyter Notebook 1
prashantpagaree / Project-Salary-Prediction-Machine-Learning
Data Preprocessing for Machine Learning
datapreprocessing labelencoder linear-regression matplotlib-pyplot onehot-encoder outlier-analysis pandas python seaborn
Language:Jupyter Notebook 1
shayleaschreurs / Deep_Neural_Networks
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.
activation dense google-colab google-colaboratory keras keras-layers keras-models labelencoder numpy pandas python sequential sklearn tensorflow train-test-split to-categorical
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
Descriptive-Statistics
Tynab / Descriptive-Statistics
CyberSoft Machine Learning 03 - Descriptive Statistics
anaconda anaconda-navigator cybersoft-academy descriptive-statistics jupyter-notebook labelencoder machine-learning mathplotlib numpy onehotencoding pandas python scikit-learn scipy seaborn sklearn cybersoft-academy-machine-learning cybersoft-academy-ml cybersoft-machine-learning cybersoft-ml
Language:Jupyter Notebook 1
zuhaib1214 / Feature-Engineering
This repository is totally focused on Feature Engineering Concepts in detail, I hope you'll find it helpful.
binarization feature-engineering labelencoder normalisation onehot-encoding ordinal-encoding percentile-method principal-component-analysis simpleimputer standardization winsorization z-score discritisation mean-median-imputation iterative-imputer knn-imputer frequent-value-imputation
Language:Jupyter Notebook 1
elmezianech / Food-Delivery-Time-Prediction
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.
artificial-intelligence cross-validation data-cleaning data-extraction decision-tree-regression feature-engineering labelencoder linear-regression machine-learning mae ml model-building mse r2-score random-forest-regression regression standardisation xgboost-regression rmse
Language:Jupyter Notebook 0
emaynard10 / Credit_Risk_Analysis
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
clustering-algorithm confusion-matrix decision-trees ensemble-learning gradientboostedtrees labelencoder logistic-regression machine-learning oversampling pandas precision-recall python randomforestclassifier smoteen standardscaler supervised-machine-learning
Language:Jupyter Notebook 0
Fiza-102 / AIRLINE-FLIGHT-FARE-PREDICTION
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.
categorical-data exploratory-data-analysis feature-engineering labelencoder machine-learning one-hot-encoding visualization
Language:Jupyter Notebook 0
Gabriel1Vitor / label
labelencoder sklearn onehot-encoder python
Language:Jupyter Notebook 0
harmanveer-2546 / Music-Genre-Classification
Classifying the genre of a music using deep neural networks.
cnn deep-neural-networks keras labelencoder librosa matplotlib music numpy pandas pickle python scipy seaborn sequential-models tensorflow
Language:Jupyter Notebook 0
janvikheni04 / Data_Analysis_of_Titanic_Dataset
Machine learning Model
knn-algorithm labelencoder machine-learning naive-bayes-algorithm numpy pandas python sklearn-library svm-model
Language:Jupyter Notebook 0
MohamedAziz15 / Lungs-Cancer-Classification-
classification kneighborsclassifier labelencoder logisr logistic-regression neural-networks randomforestclassifier standardscaler svm-classifier
Language:Jupyter Notebook 0
muhammad3245571106 / Student-Grade-Prediction
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.
accuracy-score confusion-matrix decisiontreeclassifier f1-score gridsearchcv jupyter-notebook kneighborsclassifier labelencoder matplotlib numpy pandas precision-score pyplot python recall-score sklearn standardscaler train-test-split
Language:Jupyter Notebook 0
Palemravichandra / customer-segmentation
customer segmentation of insurance comapany
bivariate-analysis decision-trees exploratory-data-analysis feature-engineering knn-classification labelencoder logistic-regression matplotlib missing-values onehot-encoding outlier-detection random-forest seaborn sklearn smote-sampling univariate-analysis xgboost
Language:Jupyter Notebook 0
RakshaSaxena / Decision-Tree
Decision Tree
decision-tree decision-tree-classifier jupiter-notebook labelencoder matplotlib-pyplot python sklearn-library train-test-error
Language:Jupyter Notebook 0
YaminiGhumre / 50_startups_prj3
50_startups_prj3 multiple linear regression practical
array dataset iloc labelencoder matlplotlib multiple-linear-regression numpy onehot-encoder pandas sklearn
Language:Python 0
kaggle_customer_segmentation
yujansaya / kaggle_customer_segmentation
Mall Customer Segmentation Data
agglomerative-clustering data-visualization dendogram hierarchical-clustering kmeans-clustering labelencoder onehot-encoding pca-analysis
Language:Jupyter Notebook 0
Yuvaishu / SURGICAL-COMPLICATION-PREDICTION
AI is developed to predict the possible surgical complications(Cataract surgery) before the surgery based on the patient's medical history
dataset deep-learning flask-application flask-sqlalchemy html-css-javascript labelencoder machine-learning numpy python residual-networks
Language:Jupyter Notebook 0
Abir0810 / apple_trees_plant_dieases_prediction_using_Sequential_model_and_cnn
ann cnn cnn-keras decision-tree-classifier labelencoder lime opencv sequential-models shape sns-topic svc train-test-split xboost
Language:Python
Abir0810 / Drug_Addiction_prediction_using_machine_learning
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.
adaboostclassifier ann classification-algorithm data-visualization datacleaning datapreprocessing decision-trees labelencoder logistic-regression naive-bayes-classifier pandas-dataframe sns train-test-split
Language:Python
nirmal2i43a5 / Categorical-Variables-and-Encoding
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.
categorical-variables labelencoder one-hot-encoding sklearn
Language:Jupyter Notebook
saikrishnabudi / Naive-Bayes
Data Science - Naive Bayes Work
categorical-naive-bayes classification gaussian-naive-bayes labelencoder machine-learning multinomial-naive-bayes naive-bayes sklearn-metrics categrocial
Language:Jupyter Notebook
saikrishnabudi / Neural-Networks
Data Science - Neural Networks Work
deeplearning featureselection hyperparametertuning keras labelencoder machine-learning neural-network optimizer outlier-detection roc-auc-curve sklearn-metrics standardscaler tensorflow logtransform
Language:Jupyter Notebook
yamini236 / Microsoftengage-Used-Cars-Data-Analysis
This repository is project submission for Microsoft Engage 2022 program.
html-css jupyter-notebook labelencoder machinelearning machinelearning-python powerbi python regression-models
Language:Jupyter Notebook

labelencoder

Manaliagarwal / Student-Alcohol-Consumption-Detection-

pritomsh / encoding-techniques

Manaliagarwal / Predicting-Salaries-of-Hiring-Employees

tejasp12 / Retail--Big-Mart_Sales_Analysis

Abhrojyoti2001 / Email-Spam-Classifier

Akarsh1 / Dance-Forms-Classification-

connectkishan1 / feature-engineering

Harmanveer2546 / Music-Genre-Classification

hritiksauw199 / Xbox-Series-X-vs-PS5-A-Sentiment-Analysis-Study

iamkirankumaryadav / Predictive-Analytics

jodiambra / Yachay.ai

marileano / Determining-Trade-Union-Status

prashantpagaree / Project-Salary-Prediction-Machine-Learning

shayleaschreurs / Deep_Neural_Networks

shreeratn / Predicting-Credit-Card-Approval

Tynab / Descriptive-Statistics

zuhaib1214 / Feature-Engineering

elmezianech / Food-Delivery-Time-Prediction

emaynard10 / Credit_Risk_Analysis

Fiza-102 / AIRLINE-FLIGHT-FARE-PREDICTION

Gabriel1Vitor / label

harmanveer-2546 / Music-Genre-Classification

janvikheni04 / Data_Analysis_of_Titanic_Dataset

MohamedAziz15 / Lungs-Cancer-Classification-

muhammad3245571106 / Student-Grade-Prediction

Palemravichandra / customer-segmentation

RakshaSaxena / Decision-Tree

YaminiGhumre / 50_startups_prj3

yujansaya / kaggle_customer_segmentation

Yuvaishu / SURGICAL-COMPLICATION-PREDICTION

Abir0810 / apple_trees_plant_dieases_prediction_using_Sequential_model_and_cnn

Abir0810 / Drug_Addiction_prediction_using_machine_learning

nirmal2i43a5 / Categorical-Variables-and-Encoding

saikrishnabudi / Naive-Bayes

saikrishnabudi / Neural-Networks

yamini236 / Microsoftengage-Used-Cars-Data-Analysis