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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

Language: Python - Size: 358 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

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.

Language: Python - Size: 252 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

riya-malviya/weather-ml

Language: Jupyter Notebook - Size: 1 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

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

Language: Jupyter Notebook - Size: 461 KB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

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

Language: Jupyter Notebook - Size: 3.37 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

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

Language: Jupyter Notebook - Size: 9.62 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

JuanitaSmith/datascience_nanodegree

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

Language: Jupyter Notebook - Size: 192 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

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.

Size: 259 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

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)

Language: Python - Size: 1.12 GB - Last synced at: 6 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 4

ketanmakde/Advanced_regression_assignment

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

Language: Jupyter Notebook - Size: 1.26 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

AmirInt/ridgie

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

Language: Python - Size: 28.3 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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)

Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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

Language: R - Size: 2.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

AjNavneet/RegressionModels_Numpy_LassoRidgeDT

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

Language: Jupyter Notebook - Size: 2.22 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

abhijitpaul0212/GemstonePricePrediction

Gemstone Price Prediction - End to End ML Project with AWS deployment

Language: Jupyter Notebook - Size: 34.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 41.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

vaitybharati/Ridge_Lasso_ElasticNet

Model Building and Testing using Ridge, Lasso and ElasticNet Methods

Language: Jupyter Notebook - Size: 2.93 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

adarshmarvel22/Forest_Weather_Prediction

Forest Fire Data

Language: Jupyter Notebook - Size: 466 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 51.8 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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 - Size: 2.07 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

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.

Language: Python - Size: 1000 Bytes - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

danschnurp/MSM-05

School exercise - Multivariate Statistical Methods subject

Language: Python - Size: 292 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 1.02 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 2.01 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

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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Related Keywords
ridge-regression-model 31 lasso-regression-model 15 linear-regression 14 machine-learning 14 python 8 ridge-regression 6 regression-models 5 exploratory-data-analysis 5 regression 5 data-science 5 pandas 4 polynomial-regression 4 seaborn 4 matplotlib 3 lasso-regression 3 eda 3 elasticnet-regression 3 numpy 3 jupyter-notebook 2 random-forest 2 python3 2 streamlit-webapp 2 decision-trees 2 logistic-regression 2 pipeline 2 flask 2 scikit-learn 2 matplotlib-pyplot 2 regression-analysis 2 data-analysis 2 random-forest-regression 2 sklearn 2 cross-validation 2 supervised-learning 2 svm-classifier 1 poisson-regression 1 flask-application 1 awsbean 1 aws 1 model-building 1 elasticnetregression 1 time-series-classification 1 pruning-optimization 1 principal-component-analysis 1 r 1 data-preprocessing 1 boosting 1 r-studio 1 statistical-analysis 1 statistical-modeling 1 decision-tree-regression 1 ml 1 predict-data 1 healthcare 1 machine-learning-algorithms 1 temperature-prediction 1 algerian-forest-fire 1 visualization 1 cross 1 statsmodels 1 scraping 1 imdb-webscrapping 1 imdb-tv-shows 1 imdb-rating 1 beutifulsoup 1 scipy-stats 1 multiple-linear-regression 1 model-refinement 1 model-evaluation 1 model-development 1 data-wrangling 1 data-acquisition 1 render 1 linearregression 1 docker 1 machie-learning 1 advanced-linear-regression 1 spark-sql 1 spark 1 scatter-plot 1 lasso-regularization 1 awsbeanstalk 1 aws-ec2 1 pruning-algorithms 1 weather-forecast 1 weather 1 noaa-data 1 noaa 1 forecasting 1 colab 1 ridge 1 real-estate 1 ols-regression-model 1 ols-regression 1 ols 1 lasso 1 house-price-prediction 1 gradient-boosting-regressor 1 data-cleaning-and-preprocessing 1 gridsearchcv 1