Awesome Open Source

Programming Languages

Search results for python ridge regression

ridge-regression x

12 search results found

Coronavirus Epidemic Covid 19 ⭐ 232

👩🏻‍⚕️Covid-19 estimation and forecast using statistical model; 新型冠状病毒肺炎统计模型预测 (Jan 2020)

Mlwithpytorch ⭐ 107

Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch

Predicting_real_estate_prices_using_scikit Learn ⭐ 59

Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)

Machine Learning Regression ⭐ 25

Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso, and gradient descent for optimization in Python

Predicting Baseball Statistics ⭐ 14

Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn

Detection Estimation Learning ⭐ 8

Python notebooks for my graduate class on Detection, Estimation, and Learning. Intended for in-class demonstration. Notebooks illustrate a variety of concepts, from hypothesis testing to estimation to image denoising to Kalman filtering. Feel free to use or modify for your instruction or self-study.

Movie Recommendation System ⭐ 8

Movie Recommendation System using the MovieLens dataset

Glmnet_py ⭐ 7

glmnet for python

Capstoneproject_house_prices_prediction ⭐ 7

Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Linear Regression, Ridge Regression and Lasso Regression in combination with cross validation. Performed parameter tuning, compared the test scores and suggested a best model to predict the final sale price of a house. Seaborn is used to plot graphs and scikit learn package is used for statistical analysi

Predicting Paid Amount For Claims Data ⭐ 6

Introduction The context is the 2016 public use NH medical claims files obtained from NH CHIS (Comprehensive Health Care Information System). The dataset contains Commercial Insurance claims, and a small fraction of Medicaid and Medicare payments for dually eligible people. The primary purpose of this assignment is to test machine learning (ML) skills in a real case analysis setting. You are expected to clean and process data and then apply various ML techniques like Linear and no linear models

Applied Machine Learning ⭐ 6

Applied Machine Learning

Airbnb Pricing Prediction ⭐ 5

Harvard Project - Accuracy improvement by adding seasonality premium pricing

Related Searches

Python Django (28,897)

Python Machine Learning (22,966)

Python Jupyter Notebook (21,839)

Python Deep Learning (17,865)

Python Flask (17,583)

Python Dataset (14,964)

Python Pytorch (14,667)

Python Docker (14,113)

Python Tensorflow (13,992)

Python Command Line (13,351)

1-12 of 12 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.