A Machine Learning project for Machine Learning Internship offered by InternshipStudio.
-
Updated
Aug 8, 2021 - HTML
#
stackingregressor
Here are 9 public repositories matching this topic...
The objective of the project is to perform advance regression techniques to predict the house price in Boston.
machine-learning regression lasso xgboost lightgbm ridge optuna lazypredict stackingregressor gradientboostingregressor
-
Updated
Nov 7, 2022 - Jupyter Notebook
I worked on this Live project while working as a Machine Learning Intern at Internship Studio that was offered by National Engineering Olympiad 5.0
-
Updated
May 19, 2022 - HTML
Hackathon winner at TechBairn MachineKnight hackathon 2022.
-
Updated
Sep 16, 2022 - Jupyter Notebook
This Repository contains the implementation of various Classification Algorithms on different different datasets.
logistic-regression decision-tree-classifier gradient-boosting-classifier svm-classifier stacking voting-classifier random-forest-classifier knn-classifier xgboost-classifier adaboostclassifier voting-regressor baggingalgorithms stackingregressor
-
Updated
Oct 4, 2021 - Jupyter Notebook
Vehicle Price Prediction is a machine learning project that estimates vehicle prices using features like make, model, year, mileage, and more. It employs multiple regression models, including Linear Regression, Random Forest, Gradient Boosting, CatBoost, and Stacking Regressor, with GridSearchCV for tuning.
python machine-learning random-forest linear-regression exploratory-data-analysis regression data-preprocessing regression-models gradient-boosting catboost price-prediction label-encoding standard-scaler stackingregressor
-
Updated
Mar 8, 2025 - Jupyter Notebook
📈📊 Data Science Notebooks . ▫️ Aplicación de algoritmos de ML para la resolución de problemas de aprendizaje supervisado (Clasificación y Regresión)
python machine-learning svm linear-regression feature-selection feature-extraction pca logistic-regression confusion-matrix feature-engineering lda roc-curve boosting bagging gridsearchcv decisiontreeclassifier gaussian-naive-bayes mlpregressor stackingregressor kneighborsregressor
-
Updated
Sep 8, 2024 - Jupyter Notebook
Laptop Price Prediction Model: A machine learning model that predicts laptop prices based on various features such as RAM, storage, and brand, utilizing techniques like stacking regression for best accuracy.
machine-learning algorithms random-forest eda data-preprocessing prediction-model svm-kernel stackingregressor
-
Updated
Oct 20, 2024 - Jupyter Notebook
started by analysing and determining the aspects required for tuning of the final ml model. Performed Eda and feature engineering inorder to determine the import parameters of the dataset and to derive more useful features, finally creating a ml model by using various different basic and advanced regression techniques.
pipeline linear-regression exploratory-data-analysis feature-engineering ridge-regression gradient-boosting-regressor xgboost-regression gaussian-naive-bayes voting-regressor stackingregressor
-
Updated
Apr 1, 2025 - Jupyter Notebook
Improve this page
Add a description, image, and links to the stackingregressor topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the stackingregressor topic, visit your repo's landing page and select "manage topics."