lasso-regression-model

My solution to House-Prices Advanced Regression Techniques, A beginner-friendly project on Kaggle.

Regression Machine Learning Project

Genetic assignment of individuals to known source populations using network estimation tools.

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.

Metis project 2/7

Predicting house price

House-Prices Advanced Regression Techniques Competition Solution

A repository containing machine learning projects and models.

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.

Nextflow pipeline integrating TCGA multi-omics with MOFA and downstream LASSO to reveal tissue-specific oncogene selection pressures

Built a Gradient Boosting model by employing Lasso Regularization and Hyper-parameter tuning

"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.

NYU CSCI-GA 3033 Final Project

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

Repository about the projects in the course of Modeling and control of cyberphysical systems at PoliTo in 2022/2023

Practical Implementation of Linear Regression on Boston Housing Price Prediction

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

It was a competition on KAGGLE for prediction on the most sales products on bikes via their features

A series of Statistical Modelling assignments with the use of R. Applications of Linear, Polynomial, Logistic and Poisson Regression in various datasets

ML | Regression Analysis| Random Forest| XGBoost| Gradient Boost| EDA| Feature Engineering| Feature selection