onehotencoder
There are 18 repositories under onehotencoder topic.
aleenaallu/animal_extinction_prediction
Trying to predict which species are most threatened with extinction in the near future.
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.
connectkishan1/feature-engineering
Imbalanced Classes, Resampling techniques, filling null value, Date,Time, Alphanumeric data
EPSOFT/Embedding
Embedding
iamkirankumaryadav/Predictive-Analytics
Predictive Analytics
ManarAlharbi/DSND-Term1-Identify_Customer_Segments
Apply unsupervised learning techniques to identify customers segments.
amangelbhullar/Machine-learning-Data_Cleaning_Tools-supervised-learning
Data cleaning tools, handling missing data, categorical data, feature scaling
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.
fayzi-dev/scikit_learn
scikit_learn
harmanveer-2546/Ad-Click-Prediction-Analysis-and-Insights
To predict whether a user will click on ad or not.
twigikit/neural-network-homework
Create a binary classification model using a deep neural network
Ansu-John/IBM-HR-Analytics-Employee-Attrition
Predict employee attrition using LogisticRegression and RandomForestClassifier.
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.
iamkirankumaryadav/Car-Price-Prediction
Car Price Prediction
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.
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.
nani757/Pipelines
pipelines chains together multiple steps so that the output of each step is used as input to the next step