columntransformer
There are 15 repositories under columntransformer topic.
alavi-sam/salary-prediction
A comprehensive analysis and predictive modeling of the "Salary Data.csv" dataset to forecast salaries. Utilizes advanced machine learning techniques, including pipelines and transformers, for robust and accurate predictions.
Bramitha-gowda-M/T20-world-cup-prediction-system
T20 World Cup Prediction System -- This GitHub repository contains the code for a T20 World Cup prediction system implemented in Python. The project utilizes popular libraries such as pandas, NumPy, and XGBoost for data manipulation, cleaning, and building predictive models.
adarshnitt/House-Prediction
Kaggle Competition under programme "30 day of ML" by Alexis Cook
adarshnitt/Titanic-Survival-Prediction
https://www.kaggle.com/c/titanic/data
Chengetanaim/Simple-Loan-Classification
This dataset contains various demographic and financial features that could be used to build a classification model for predicting loan approval or denial. The loan_status column serves as the target variable for the classification task.
Davisy/Scikit-learn-Pipeline-and-ColumnTransformer-
How to apply scikit learn pipeline and ColumnTransformer in your Machine learning Project
Hasnat-Aarif-Aslam/Pipelining-How-to-Create-Pipelines-in-Machine-Learning
Pipeline creation using Pipeline and make_pipeline along with ColumnTransformer and an Estimator
kelhoussaini/Data_science__and__ML_projects
Projects: Chatbot, House price prediction with pipeline
nani757/Pipelines
pipelines chains together multiple steps so that the output of each step is used as input to the next step
nani757/QQ-plot-Function-Transformer-Log-Transform-Reciprocal-Transform-Square-Root-Transform
Function Transformer is part of feature engineering it converts probability density function to normal distribution
sanhiitaa/fastag-fraud-detection-classification
Fastag Fraud Detection Classification System
SujanNeupane42/Wine-Quality-Prediction
This is a simple classification project that predicts whether a wine is of good quality or not.