lasso-regression-model
There are 58 repositories under lasso-regression-model topic.
gvndkrishna/Kaggle-House-Price-Prediction
My solution to House-Prices Advanced Regression Techniques, A beginner-friendly project on Kaggle.
AlaaMahmoud95/Concrete-Compressive-Strength
Regression Machine Learning Project
MAHMOUD2ABDALLAH/Bike-Sales
It was a competition on KAGGLE for prediction on the most sales products on bikes via their features
markkukuismin/BONE
Genetic assignment of individuals to known source populations using network estimation tools.
Masihsoniya/House-price-prediction
Predicting house price
rkp678/Project2_GroupC
Project 2 Group C - Predicting FinTech Bootcamp Graduate Salaries
sagprr/Machine_Learning
A repository containing machine learning projects and models.
sameerko95/SenseMe---Monitoring-Mental-Health-Using-Smartphone-Data
This is a project developed as part of the Foundations of Data science course at New York University
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.
adiag321/Boston-AMES-Housing-Price-Prediction
In this project, we will predict the price for AMES House and learn Machine Learning Algorithms, different data preprocessing techniques such as Exploratory Data Analysis, Feature Engineering, Feature Selection, Feature Scaling and finally to build a machine learning model.
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
Assem-ElQersh/Kaggle-Housing-Prices-Prediction
House-Prices Advanced Regression Techniques Competition Solution
DataSpieler12345/r-for-data-science
"Learning R for data scientists." This phrase describes the process of acquiring the skills and knowledge necessary to use the R programming language for data analysis.
eeshwarib23/Airbnb-regression-analysis
ML | Regression Analysis| Random Forest| XGBoost| Gradient Boost| EDA| Feature Engineering| Feature selection
fraancyM/Modeling-and-control-of-cyberphysical-systems
Repository about the projects in the course of Modeling and control of cyberphysical systems at PoliTo in 2022/2023
glapointe7/HousePrices
Kaggle challenge asking to predict the final price of each home based on their description/properties.
Hiroki39/CSCI-GA-3033-Final-Project
NYU CSCI-GA 3033 Final Project
Krystkowiakk/IMDB-TV-Rating-Predictor
Metis project 2/7
LokeshSreenathJ/House-Price-Prediction
Built a Gradient Boosting model by employing Lasso Regularization and Hyper-parameter tuning
manoboda/housing-data
Analysis and Modelling data from King county housing data
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.
nihar-phadnis/Jupyter-Notebooks-and-Python
Repository consisting of the notebooks I worked on to submit my courseworks at Royal Holloway
SandeepGitGuy/Advanced_Regression_model_Housing_Assignment
Advanced Regression model on Housing Data from Australia for my Upgrad - IIITB AI ML PG Course
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
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.
emilyksanders/Ames_housing_modeling
A project using the Ames Housing dataset to predict home prices based on their characteristics.
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.
rociobenitez/AirbnbPricingModel
A Machine Learning exploration evaluating various models to predict Airbnb prices, culminating in an optimized Gradient Boosting Regressor.
Seniorveiga/Machine-Learning-Basics
Approach to some basic Machine Learning Techniques.
shwetajanwekar/Capstone-project_1
Capstone project_1 include python code for best fit regression model, SQL feature store and tableau dashboard
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.
fahadabid545/Lasso-Regression
A concise implementation of Lasso Regression using scikit-learn to perform feature selection and reduce overfitting. The project demonstrates how L1 regularization impacts model performance.
saadhaniftaj/logistic--lasso-regression-data-analysis
Iris dataset analysis with logistic and Lasso regression, using coordinate descent for feature selection and binary classification. Includes preprocessing and data visualizations
ShaikAyubAli/Regression-Project
Built a regression model to predict university admission using linear, polynomial, and regularized regression techniques (lasso, ridge, and elastic net) and achieved 98% accuracy.
UFSaidu/Identification_of_TBI_biomarkers_using_Machine_learning
This repository contains code for Machine learning-based identification of diagnostic biomarkers and therapeutic targets for traumatic brain injury.