ridge-regression-model

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.

Ujju-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.

adarshmarvel22/Forest_Weather_Prediction

Forest Fire Data

alvarojob20/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.

amoustakis/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

bethweirich/hwai

Sub-seasonal temperature and heatwave prediction in Central Europe with AI (linear and random forest machine learning models)

Krystkowiakk/IMDB-TV-Rating-Predictor

Metis project 2/7

nalbert4/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

SandeepGitGuy/Advanced_Regression_model_Housing_Assignment

Advanced Regression model on Housing Data from Australia for my Upgrad - IIITB AI ML PG Course

vaishnaviadauale/Chatbot-Assistant-For-Real-Time-Weather-Prediction-

vaitybharati/Ridge_Lasso_ElasticNet

Model Building and Testing using Ridge, Lasso and ElasticNet Methods

whonancysoni/Linear-Regression-on-Algerian-Forest-Fire-Temperature-Prediction.

Practical Implementation of Linear Regression on Algerian Forest Fire Dataset.

whonancysoni/Linear-Regression-on-Boston-Housing-Price-Prediction

Practical Implementation of Linear Regression on Boston Housing Price Prediction

yogeshnile/Health-Prediction-Machine-Learning-Model

This is First Project of Machine Learning by me

akashkriplani/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)

AlrikF/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.

awiksshiith-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.

jesimilloch/desafio-dos-digital-house

Regresión Lineal Múltiple con Modelos Regularizados (Lasso y Ridge) y Sin Regularizar

ketanmakde/Advanced_regression_assignment

Building Advanced regression models (Lasso and Ridge) for house price prediction in the Australian market

QuyAnh2005/Sale-Trending

Sale trending

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.

AjNavneet/Regression-Models-Numpy-Lasso-Ridge-DT

Regression models(lasso, ridge, DT) using NumPy.

AmirInt/ridgie

As part of the UCSanDiego online course "Machine Learning Fundamentals"

danschnurp/MSM-05

School exercise - Multivariate Statistical Methods subject

DuyguGoksu/BrainstationCapstoneProject

In this project, I build 20+ models predicting Spotify song popularity. These include neural networks, Lasso and Ridge regression models. I also leverage OpenAI chat-completion API to engineer features from song lyrics.

JuanitaSmith/datascience_nanodegree

This repository contains projects completed during during my Udacity Data Science Nanodegree course.

not-so-lucky/Bengaluru-Housing-Prediction

End-to-end machine learning regression model for predicting housing prices in Bengaluru, with Heroku deployment.

riya-malviya/weather-ml

Seniorveiga/Machine-Learning-Basics

Approach to some basic Machine Learning Techniques.