onehotencoder

There are 0 repository under onehotencoder topic.

tanvirnwu / Feature-Engineering--Python
categorical-features ordinary-feature feature-engineering feature-selection one-hot-encoding onehot-encoder onehot-encoding onehotencoder frequency-enconding
Language:Jupyter Notebook 3
aleenaallu / animal_extinction_prediction
Trying to predict which species are most threatened with extinction in the near future.
flask machine-learning numpy pandas python labelencoder onehotencoder pickle sklearn
Language:Jupyter Notebook 1
AnnaShestova / multiple-linear-regression-with-backward-elimination
Multiple linear regression model implementation with automated backward elimination (with p-value and adjusted r-squared) in Python and R for showing the relationship among profit and types of expenditures and the states.
backward-elimination multiple-linear-regression onehotencoder python3 r regressor sklearn
Language:Python 1
connectkishan1 / feature-engineering
Imbalanced Classes, Resampling techniques, filling null value, Date,Time, Alphanumeric data
smote svm-classifier outlier-detection outlier-removal python imbalanced-data onehotencoder labelencoder feature-extraction
Language:Jupyter Notebook 1
EPSOFT / Embedding
Embedding
embedding adam dense flatten itertools numpy onehotencoder optimizers pandas sequential tensorflow
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
ManarAlharbi / DSND-Term1-Identify_Customer_Segments
Apply unsupervised learning techniques to identify customers segments.
udacity-data-science-nanodegree unsupervised-learning machine-learning-algorithms cluster identify-customers-segments imputation standardscaler missing-data-imputation missing-data feature-engineering onehotencoder feature-transformation feature-scaling dimensionality-reduction principal-component-analysis clustering-algorithm kmeans-clustering
Language:HTML 1
amangelbhullar / Machine-learning-Data_Cleaning_Tools-supervised-learning
Data cleaning tools, handling missing data, categorical data, feature scaling
sklearn imputer onehotencoder dataset labelencoder
Language:Jupyter Notebook 0
c-e-leiva / AprendizajeAutomatico
Repositorio para los desafíos y trabajos prácticos de la materia de Aprendizaje Automático, donde se implementan y resuelven problemas utilizando técnicas y algoritmos del campo.
clasification clustering data-visualization decision-tree gridsearchcv logistic-regression machine-learning matplotlib ml model-evaluation-metrics onehotencoder pandas python regression scikit-learn svm
Language:Jupyter Notebook 0
fayzi-dev / scikit_learn
scikit_learn
confusion-matrix decision-tree drop gridsearchcv missing-data onehotencoder pipeline roccurve startify
Language:Python 0
harmanveer-2546 / Ad-Click-Prediction-Analysis-and-Insights
To predict whether a user will click on ad or not.
ads analysis classification-report click insights linearregression matplotlib numpy onehotencoder pandas pipeline prediction preprocessing randomforestclassifier seaborn sklearn sklearn-library sklearn-metrics standardscaler sklearn-compose
Language:Jupyter Notebook 0
twigikit / neural-network-homework
Create a binary classification model using a deep neural network
keras neural-network onehotencoder optimisation-algorithms tensorflow
Language:Jupyter Notebook 0
Ansu-John / IBM-HR-Analytics-Employee-Attrition
Predict employee attrition using LogisticRegression and RandomForestClassifier.
employee-attrition analysis tableau labelencoder onehotencoder logistic-regression-algorithm random-forest-classifier
Language:Jupyter Notebook
harmanveer-2546 / Finding-you-next-perfect-house
In this exploratory data analysis, we compare a dataset which consists of various features about renting of houses available on these renting platforms listed by owners of these houses, and try to derive some constructive conclusions by performing Descriptive statistics of the available features.
adaboostregressor decisiontreeregressor exploratory-data-analysis house-price-prediction inline linearregression matplotlib numpy onehotencoder pandas plotly python randomforestregressor renting seaborn standardscaler xgbregressor
Language:Jupyter Notebook
iamkirankumaryadav / Car-Price-Prediction
Car Price Prediction
column-transformer compose linear-regression linearregression model-selection numpy onehotencoder pandas pickle pipeline preprocessing regression
Language:Jupyter Notebook
Khushi130404 / Titanic_Pipeline
This project predicts whether a person survived the Titanic disaster based on various features using machine learning. It utilizes pipelines, ColumnTransformer, and model serialization for efficient processing and prediction.
column-transformer decisiontreeclassifier minmaxscaler onehotencoder pickle pipeline simpleimputer
Language:Jupyter Notebook
lingumd / Neural_Network_Charity_Analysis
Machine learning and neural networks used to create a binary classifier capable of predicting whether applicants will be successful if funded by Alphabet Soup.
deep-learning machine-learning matplotlib-pyplot neural-networks onehotencoder pandas scikit-learn seaborn standardscaler tensorflow
Language:Jupyter Notebook
mustafadanabasi / Python-OneHotEncoder-Sample
OneHotEncoder : Kategorik verileri "binary" (0 ve 1) sütunlarına ayırır. Her benzersiz kategori için ayrı bir sütun oluşturur. Özellikle sıralı olmayan kategorik değişkenler için uygundur.
onehotencoder python sklearn-library
Language:Jupyter Notebook
nani757 / Pipelines
pipelines chains together multiple steps so that the output of each step is used as input to the next step
chi2 columntransformer cross-validation-score decisiontreeclassifier gridsearchcv minmaxscaler onehotencoder pickle pipelines selectkbest simpleimputer make-pipeline
Language:Jupyter Notebook

onehotencoder

tanvirnwu / Feature-Engineering--Python

aleenaallu / animal_extinction_prediction

AnnaShestova / multiple-linear-regression-with-backward-elimination

connectkishan1 / feature-engineering

EPSOFT / Embedding

iamkirankumaryadav / Predictive-Analytics

ManarAlharbi / DSND-Term1-Identify_Customer_Segments

amangelbhullar / Machine-learning-Data_Cleaning_Tools-supervised-learning

c-e-leiva / AprendizajeAutomatico

fayzi-dev / scikit_learn

harmanveer-2546 / Ad-Click-Prediction-Analysis-and-Insights

twigikit / neural-network-homework

Ansu-John / IBM-HR-Analytics-Employee-Attrition

harmanveer-2546 / Finding-you-next-perfect-house

iamkirankumaryadav / Car-Price-Prediction

Khushi130404 / Titanic_Pipeline

lingumd / Neural_Network_Charity_Analysis

mustafadanabasi / Python-OneHotEncoder-Sample

nani757 / Pipelines