ridge-regression-model
There are 0 repository under ridge-regression-model topic.
- GemstonePricePrediction
abhijitpaul0212 / GemstonePricePrediction
Gemstone Price Prediction - End to End ML Project with AWS deployment
Language:Jupyter Notebook 2 somanathkshirsagar / -LeastSquare
LeastSquare is a web application developed with the objective of predicting the price of used cars. The project follows the life cycle of a data science project and incorporates various tools and techniques such as machine learning, regression analysis, linear regression, polynomial regression, Lasso regression, Ridge regression, and Streamlit.
Language:Jupyter Notebook 2Ujju-27 / House-Prediction
House Price Prediction can help the customer to arrange the right time to Purchase a House. It is An - ML based Approach which Predicts the Estimated Price of Housing in Mumbai City.
Language:Jupyter Notebook 2adarshmarvel22 / Forest_Weather_Prediction
Forest Fire Data
Language:Jupyter Notebook 1alvarojob20 / Automobile-Data-Set-with-Python
In this series of notebooks, we will dive into each step of the data analysis process of a data set with some information about a list of cars and several attibutes, including their prices. So essentially we will develop a model to predict cars price.
Language:Jupyter Notebook 1amoustakis / Statistical-Modeling-data-analysis
A series of Statistical Modelling assignments with the use of R. Applications of Linear, Polynomial, Logistic and Poisson Regression in various datasets
Language:R 1- hwai
bethweirich / hwai
Sub-seasonal temperature and heatwave prediction in Central Europe with AI (linear and random forest machine learning models)
Language:Python 1 Krystkowiakk / IMDB-TV-Rating-Predictor
Metis project 2/7
Language:Jupyter Notebook 1nalbert4 / DataModels
Data Models in R for Multiple Linear Regression and three models (Ridge, Lasso, and Elastic-Net), to predict Medicare claim costs of Type 2 diabetes patients with other diagnoses. We used Data from Entrepreneur’s Medicare Claims Synthetic Public Use Files (DE-SynPUFs) for our analysis.
sakshibabbar2019 / Multiple-Linear-Regression-with-Regularization
A small project addressing a regression problem explains implementation of multiple linear regression techniques, hyperparameter tuning, collinearity, model overfitting and complexity using LASSO, Ridge and Elastic net
Language:Jupyter Notebook 1vaitybharati / Ridge_Lasso_ElasticNet
Model Building and Testing using Ridge, Lasso and ElasticNet Methods
Language:Jupyter Notebook 1whonancysoni / Linear-Regression-on-Algerian-Forest-Fire-Temperature-Prediction.
Practical Implementation of Linear Regression on Algerian Forest Fire Dataset.
Language:Jupyter Notebook 1Practical Implementation of Linear Regression on Boston Housing Price Prediction
Language:Jupyter Notebook 1yogeshnile / Health-Prediction-Machine-Learning-Model
This is First Project of Machine Learning by me
Language:Jupyter Notebook 1akashkriplani / Advanced-Regression-Surprise-Housing
Predictive Analytics for Real Estate Investment: A Regression Model Approach for Surprise Housing in the Australian Market using Regularization methods (Ridge and Lasso)
Language:Jupyter Notebook 0awiksshiith-narang / Ridge_Regression
This model trains according to the data and makes a Polynomial Regression curve of degree 16. The model is regularized using Ridge regression. It also compares the predicted values with original outputs and for different alphas.
Language:Python 0jesimilloch / desafio-dos-digital-house
Regresión Lineal Múltiple con Modelos Regularizados (Lasso y Ridge) y Sin Regularizar
Language:Jupyter Notebook 0ketanmakde / Advanced_regression_assignment
Building Advanced regression models (Lasso and Ridge) for house price prediction in the Australian market
Language:Jupyter Notebook 0QuyAnh2005 / Sale-Trending
Sale trending
Language:Jupyter Notebook 0AjNavneet / RegressionModels_Numpy_LassoRidgeDT
Regression models(lasso, ridge, DT) using NumPy.
Language:Jupyter NotebookAlrikF / Data-science-statistical-modelling-projects
A collection of multiple projects involving tasks such as classification, time series forecasting , regression etc. on a number of datasets using different machine learning algorithms such as random forest, SVM, Naive Bayes, Ensemble, perceptron etc in addition to data cleaning and preparation.
Language:Jupyter Notebook- Language:Python
danschnurp / MSM-05
School exercise - Multivariate Statistical Methods subject
Language:PythonJuanitaSmith / datascience_nanodegree
This repository contains projects completed during during my Udacity Data Science Nanodegree course.
Language:Jupyter Notebooknot-so-lucky / Bengaluru-Housing-Prediction
End-to-end machine learning regression model for predicting housing prices in Bengaluru, with Heroku deployment.
Language:Jupyter NotebookSeniorveiga / Machine-Learning-Basics
Approach to some basic Machine Learning Techniques.
ucheynna / ML-cancer-remission
Developed regularization and tree-based machine learning models to predict remission status in a cohort of 5059 patients. Elastic net and Random Forest models were compared on F1 scores accuracy, sensitivity, specificity, and AUC ROC.
