NettetHey all, Here is my first regression project to predict employees salary based on experience of their work using Simple Linear Regression .… NettetIt is the first dataset used for performing linear regression by almost everyone. You can import it from scikit-learn directly. There's also a very famous Red Wine Quality Dataset by UCI Machine Learning commonly used while tinkering around with linear regression. Elliobu • 2 yr. ago These are some really cool suggestions !

basic_linear_regression Kaggle

NettetForecasting: In this final step, I used various machine learning methods to forecast and make future predictions of new cases, recovery, and total deaths. The methods used for this prediction include Prophet, Arima, Lasso, Linear Regression, Ridge Regression, Stacking & Blending of different ML models. Below are the visualizations: NettetKaggle allows users to find and publish data sets, explore and build models in a web-based data-science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges. Kaggle offers a no-setup, customizable, Jupyter Notebooks environment. nile john footballer

Sales Prediction (Simple Linear Regression) Kaggle

NettetExplore and run machine learning code with Kaggle Notebooks Using data from [Private Datasource] Nettet11. apr. 2024 · Linear Regression is the first machine learning algorithm based on ‘ Supervised Learning’. Linear regression performs the task to predict a dependent variable value (y) based on a given independent variable (x). When there is a single input variable (x), the method is referred to as ‘ Simple Linear Regression’. NettetJose Portilla's Course project solution¶ Linear Regression Project¶ An e-commerce company based in New York City is selling clothing online but they also have in-store … n\\u0027brick traduction