column-transformer

There are 0 repository under column-transformer topic.

shaadclt / IPL-Win-Probability-Predictor
The IPL Win Probability Predictor is a web application built using Streamlit. It uses a machine learning model to predict the probability of a team winning an IPL match based on various factors such as batting team, bowling team, host city, target, score, overs completed, and wickets.
column-transformer logistic-regression one-hot-encoder
Language:Jupyter Notebook 4
KhaledTofailieh / Titanic-Survive-Prediction
machine-learning python pandas numpy standard-scaler pipleline svm-classifier column-transformer
Language:Jupyter Notebook 3
KhaledTofailieh / Bank-Deposits-Classification
machine-learning python scikit-learn seaborn matplotlib-pyplot gridsearch pipline column-transformer csv pandas numpy
Language:Jupyter Notebook 2
avd1729 / Alzheimer-s-Classification-Web-App
Alzheimer's Disease Classification using Decision tree
alzheimer-disease-prediction column-transformer machine-learning pipeline decision-trees
Language:HTML 1
dadavalangege / Advanced_Machine_Learning
Applying Advanced Machine Learning techinques such as pipelines and text mining, as well as advanced data engeneering methods like column transformers and estimators.
advanced-machine-learning pipeline text-mining sentiment-analysis random-forest-regression data-engineering column-transformer estimator
Language:Jupyter Notebook 1
sumitdeole / supervised-ml
This project uses the famous housing price prediction dataset and employs the two supervised ml algorithms (classification and regression).
classification-model column-transformer pipeline regression-models supervised-machine-learning
Language:Jupyter Notebook 1
AmbreenMahhoor / How-to-do-Column-Transformation
column-transformer how-to-do-column-transformation uses
Language:Jupyter Notebook 0
AShirsat96 / Data_Manipulation_biopic_Dataset
Data Manipulation of Biopic Dataset
numpy-library pandas-python column-transformer create-variables duplicates-removed missing-data-imputation rename-column sort-data
Language:Python 0
ayushtiwari134 / multiple_disorder_predictor
This application predicts the likelihood of obesity and diabetes in a person based on various inputs. It utilizes machine learning models, pipelines, and column transformers to efficiently handle data and provide predictions.
logistic-regression machine-learning column-transformer decision-tree pipeline python streamlit
Language:Python 0
bogumilo / house-prices-xgboost
House prices dataset exploration and prediction. Workflow includes useful examples of Tensorflow pipelines including k-Nearest Neighbors imputer, Decision Tree Regression and XGBoost Regression
machine-learning xgboost column-transformer data-pipeline data-transformation decision-tree-regression decision-trees feature-engineering feature-scaling gridsearchcv house-price-prediction house-prices-competition kaggle-competition knnimputer python tensorflow tensorflow-tutorial xgboost-regression ohe
Language:Jupyter Notebook 0
maheera421 / Car-Price-Prediction-Model
A machine learning project that predicts car prices based on a dataset.
column-transformer feature-encoding feature-engineering imputation one-hot-encoding random-forest-regressor simple-imputer cross-validation-score mean-absolute-error mean-squared-error r2-score
Language:Jupyter Notebook 0
schatzederwelt / stock-prices-cars
Прогнозирование рыночной стоимости автомобилей
python pandas column-transformer data-analysis make-pipeline feature-importance randomized-search regression lightgbm ordinal-encoding random-forest target-encoding ohe-encoding
Language:Jupyter Notebook 0
starkjones / Food-Sales-Predictions
Predicting sales volume at various stores
column-transformer data-cleaning data-visualization imputation-methods sklearn supervised-machine-learning train-test-using-sklearn
Language:Jupyter Notebook 0
iamkirankumaryadav / Car-Price-Prediction
Car Price Prediction
pandas numpy pickle onehotencoder column-transformer pipeline model-selection linear-regression linearregression preprocessing compose regression
Language:Jupyter Notebook
kengz / feature_transform
Build ColumnTransformers (Scikit or DaskML) for feature transformation by specifying configs.
column-transformer dask-ml dataset feature-engineering feature-transformation machine-learning scikit-learn
Language:Python
LorenzoRottigni / ML-missing-values
Machine Learning course of Piero Savastano 5: ColumnTransformer, SimpleImputer, numpy
column-transformer machine-learning missing-values numpy simple-imputer
Language:Python
nani757 / Column-Transformer-
Column-Transformer is the method where you can use this feature and you can implement one-hot encoding and OrdinalEncoding both together
column-transformer data-cleaning encryption feature-extraction one-hot-encoding ordinalencoder
Language:Jupyter Notebook

column-transformer

shaadclt / IPL-Win-Probability-Predictor

KhaledTofailieh / Titanic-Survive-Prediction

KhaledTofailieh / Bank-Deposits-Classification

avd1729 / Alzheimer-s-Classification-Web-App

dadavalangege / Advanced_Machine_Learning

sumitdeole / supervised-ml

AmbreenMahhoor / How-to-do-Column-Transformation

AShirsat96 / Data_Manipulation_biopic_Dataset

ayushtiwari134 / multiple_disorder_predictor

bogumilo / house-prices-xgboost

maheera421 / Car-Price-Prediction-Model

schatzederwelt / stock-prices-cars

starkjones / Food-Sales-Predictions

iamkirankumaryadav / Car-Price-Prediction

kengz / feature_transform

LorenzoRottigni / ML-missing-values

nani757 / Column-Transformer-