labelencoding

There are 0 repository under labelencoding topic.

ft-abhx / Prediction-of-Students-Performance-Using-Linear-Regression
ML Project - Linear Regression
labelencoding linear-regression regression-analysis
Language:Jupyter Notebook 2
mdnuruzzamanKALLOL / Label_Encoding
Feature Engineering
labelencoding linear-regression matplotlib numpy pandas seaborn
Language:Jupyter Notebook 2
Vishnu-Kota / H-M-recommendation-system
A recommendation system created for H&M created with the help of EDA(Exploratory Data Analysis) and ALS (Alternative Least Squares) which optimizes a users recommendations taking into considerations an account`s view history and uses matrix optimization to give the best possible recommendations.
als artificial-intelligence artificial-neural-networks boxplot eda labelencoding machine-learning matplotlib neural-networks onehot-encoding pandas python sckiit-learn sckit-learn seaborn tensorflow
Language:Jupyter Notebook 2
Anitha-K-0711 / Customer_Conversion_Prediction_Project
Hi all! My project aims to predict customer conversion for an insurance company. The main objective of the project is to develop an accurate and efficient model that can aid the insurance company in improving its sales conversion rate and reducing marketing costs.
auroc datacleaning eda imbalanced-learning labelencoding matplotlib numpy pandas scikitlearn-machine-learning seaborn streamlit
Language:Jupyter Notebook 1
ankitapiu / Mercedes-Benz-Greener-Manufacturing
Xboost algorithm Model
data-science xgboost-model data-visualization labelencoding dimensionality-reduction
Language:Jupyter Notebook 1
Bramitha-gowda-M / DiabetesPrediction_SVMModel
Crafted a machine learning model employing Support Vector Machine (SVM) algorithm to anticipate diabetes patterns using the diabetic prediction dataset. Dive into predictive analytics with this insightful project! 📊🔍
accuracy-score labelencoding numpy-library pandas-python prediction-model python scikitlearn-machine-learning svm-classifier
Language:Jupyter Notebook 1
devil-cyber / Handling-Categorical-Variable
This is a python package for the Categorical Variable Handling
onehot-encoding labelencoding binary binaryencoding machine-learning python3 pypi-package pip feature-engineering
Language:Python 1
meenujha / Second-Hand-Car-Price-Predictions
The goal of this problem is to predict the Price of an Old car based on the variables provided in the data set.
linerregression randomforestregressor eda labelencoding onehotencoding
Language:Jupyter Notebook 1
rrambhia22 / Crimes_Incarceration_Analysis
Crime and Incarceration in the United States contain data on crimes that are committed, and the prisoner counts in every 50 states, for which the data is analyzed using various analytical methods.
correlation-matrix dataanalysis datacleaning datacollection datapreparation datavisualization decision-tree-regression exploratory-data-analysis feature-importance jupyter-notebook labelencoding linear-regression machinelearningalgorithms model-building pre-modeling-steps python random-forest-regression statistical-analysis tableau
Language:Jupyter Notebook 1
rrambhia22 / Fraud_Detection_Analysis
Online Payments Fraud Detection. The objective is to predict/detect the fraud transaction that happens through online payment transactions.
dataanalysis datacleaning datavisualisation jupyter-notebook machinelearning-python streamlit correlation-analysis feature-engineering labelencoding logistic-regression random-forest-classifier xgboost-classifier decision-tree-classifier kaggle-dataset python
Language:Jupyter Notebook 1
Medical-Insurance
Careless-Caramel / Medical-Insurance
Linear Regression on Medical Insurance Dataset
encoding label labelencoding linear-regression matplotlib-pyplot mean-absolute-percentage-error mean-squared-error regression-analysis seaborn sklearn
Language:Jupyter Notebook 0
carrytheeast / DayCrew4_Hospital_open_close_classification_prediction_competition_by_DACON_
DayCrew4 in 2023, Making PBL(Project based Learning) educational materials for beginners in data analysis.
automl classification dacon optuna pycaret labelencoding onehot-encoding
Language:Jupyter Notebook 0
FarhanaTeli / Kyphosis_Disease_Prediction_with_FCNN_XGBoost
Kyphosis disease prediction using Fully Connected Neural Networks (FCNNs) model and XGBoost model with GridSearchCV
disease-prediction adam-optimizer binaryclassification binarycrossentropy gridsearchcv hyperparameter-tuning imbalanced-data labelencoding neural-network numpy pandas python pytorch sklearn smote-oversampler standardization xgboost-classifier
Language:Jupyter Notebook 0
Neeleshweb / House-Selling-Price-Prediction-using-various-models
In this project, the selling price of the houses have been predicted using various Regressors, and comparison charts have been shown that depict the performance of each model. This submission was ranked 107 out of 45651 in first attempt on Kaggle leader-board which can be accessed from here : https://www.kaggle.com/c/home-data-for-ml-course/leaderboard
linear-regression decision-tree-regression random-forest xgboost-regression exploratory-data-analysis datacleaning hyperparameter-optimization minmaxscalar labelencoding
Language:Jupyter Notebook 0
Tanmoy9563 / Treue_Technologies
This is about Treue Technologies Data science Internship tasks.
business data dataanalytics datascience decision-trees descriptive-statistics eda feature-engineering featureextraction featurescaling knn labelencoding linear-regression logistic-regression mechine-learning modelselection one-hot-encoding random-forest svm xgboost
Language:Jupyter Notebook 0
ankitdhadave / -Prediction-of-chronic-Kidney-disease
To predict whether person has chronic Kidney disease or not chronic Kidney disease? • Predicted whether a patient will have chronic kidney disease or not, by using 24 predictors. • Used Decision Tree, Random Forest, XGBoost models for prediction. • Got an accuracy of 0.95 for XGBoost Model
datacleaning heatmap labelencoding visualization xgboost-classifier
Language:Jupyter Notebook
Shalini-2209 / future-prediction-Data-Science-
Composed of data cleaning, random forest algorithm for future prediction.
data-science machine-learning graphs random-forest onehot-encoding labelencoding
Language:Jupyter Notebook
tanviparmarrajput / DATA-CLAENING-DATA-VISUALIZATION
Data Cleaning and Data Visualization with python libraries like numpy , pandas, sklean,seaborn, matplotlib-pyplot
boxplot datacleaning dataengineering datavisualization encoding labelencoding matplotlib-pyplot numpy onehot-encoding ordinal-encoding pandas pandas-dataframe pandas-library python seaborn sklearn imputer
Language:Jupyter Notebook
toan01-uet / Solution-for-HackerEarth-Machine-Learning-challenge
HackerEarth Machine Learning challenge: Of Genomes And Genetics
automl data-science feature-engineering hackerearth-solutions imbalanced-classification labelencoding machinelearningchallenge mutilabelclassification smote-oversampler target-encoding

labelencoding

ft-abhx / Prediction-of-Students-Performance-Using-Linear-Regression

mdnuruzzamanKALLOL / Label_Encoding

Vishnu-Kota / H-M-recommendation-system

Anitha-K-0711 / Customer_Conversion_Prediction_Project

ankitapiu / Mercedes-Benz-Greener-Manufacturing

Bramitha-gowda-M / DiabetesPrediction_SVMModel

devil-cyber / Handling-Categorical-Variable

meenujha / Second-Hand-Car-Price-Predictions

rrambhia22 / Crimes_Incarceration_Analysis

rrambhia22 / Fraud_Detection_Analysis

Careless-Caramel / Medical-Insurance

carrytheeast / DayCrew4_Hospital_open_close_classification_prediction_competition_by_DACON_

FarhanaTeli / Kyphosis_Disease_Prediction_with_FCNN_XGBoost

Neeleshweb / House-Selling-Price-Prediction-using-various-models

Tanmoy9563 / Treue_Technologies

ankitdhadave / -Prediction-of-chronic-Kidney-disease

Shalini-2209 / future-prediction-Data-Science-

tanviparmarrajput / DATA-CLAENING-DATA-VISUALIZATION

toan01-uet / Solution-for-HackerEarth-Machine-Learning-challenge