GitHub topics: ridge-regression-model
MAHMOUD2ABDALLAH/Bike-Sales
It was a competition on KAGGLE for prediction on the most sales products on bikes via their features
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garfsters/Real-Estate-Price-Prediction
Using OLS regression (and Ridge and Lasso to compare), we worked on a project that uses a dataset to predict housing prices based on user inputs on house details.
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riya-malviya/weather-ml
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Harshika-123/Machine_Learning
Machine Learning Algorithms
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dhrupad17/Sample-ML-Project-Deployment-testforestfires
This is a sample ML Regression Project whose web part is created by Flask and it involves AWS Deployment
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Brinthat/World-Development-Indicators
Exploring World Development Indicators: Identifying relationship between Health Indicators using Linear Regression & Classification of Income Group based on Health Indicators using Logistic Regression.
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SandeepGitGuy/Advanced_Regression_model_Housing_Assignment
Advanced Regression model on Housing Data from Australia for my Upgrad - IIITB AI ML PG Course
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vaishnaviadauale/Chatbot-Assistant-For-Real-Time-Weather-Prediction-
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JuanitaSmith/datascience_nanodegree
This repository contains projects completed during during my Udacity Data Science Nanodegree course.
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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.
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Seniorveiga/Machine-Learning-Basics
Approach to some basic Machine Learning Techniques. It is necessary to concatenate/specify the route of the .csv file that is associated to the Script to make it work.
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bethweirich/hwai
Sub-seasonal temperature and heatwave prediction in Central Europe with AI (linear and random forest machine learning models)
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ketanmakde/Advanced_regression_assignment
Building Advanced regression models (Lasso and Ridge) for house price prediction in the Australian market
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AmirInt/ridgie
As part of the UCSanDiego online course "Machine Learning Fundamentals"
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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)
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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
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AjNavneet/RegressionModels_Numpy_LassoRidgeDT
Regression models(lasso, ridge, DT) using NumPy.
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abhijitpaul0212/GemstonePricePrediction
Gemstone Price Prediction - End to End ML Project with AWS deployment
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AlrikF/Data-Science-Projects
A collection of numeorus tasks such as classification, regression, time series forecasting etc. on a number of datasets using different algorithms such as random forest, SVM, Naive Bayes, Ensemble, perceptron etc in addition to data cleaning and preparation.
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vaitybharati/Ridge_Lasso_ElasticNet
Model Building and Testing using Ridge, Lasso and ElasticNet Methods
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adarshmarvel22/Forest_Weather_Prediction
Forest Fire Data
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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.
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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.
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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.
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danschnurp/MSM-05
School exercise - Multivariate Statistical Methods subject
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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.
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Krystkowiakk/IMDB-TV-Rating-Predictor
Metis project 2/7
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QuyAnh2005/Sale-Trending
Sale trending
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iamnancysoni/Linear-Regression-on-Algerian-Forest-Fire-Temperature-Prediction.
Practical Implementation of Linear Regression on Algerian Forest Fire Dataset.
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iamnancysoni/Linear-Regression-on-Boston-Housing-Price-Prediction
Practical Implementation of Linear Regression on Boston Housing Price Prediction
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yogeshnile/Health-Prediction-Machine-Learning-Model
This is First Project of Machine Learning by me
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