practice 2.1 | multilinear regression | startup companies | profit prediction
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Updated
Sep 15, 2022 - Jupyter Notebook
practice 2.1 | multilinear regression | startup companies | profit prediction
EXCELR ALL ASSIGNMENTS
Jupyter Notebook kernel exploring sales of Toyota Corolla. The exercise contains various Machine Learning Linear Regression algorithms that have been used to predict the sale price of Toyota Corolla.
Calculating multilinear regression using independent variables as many as you want, then plot the prediction result against actual result in python
Supervised Learning project aimed at using various features to predict life expectancy.
ml5 (friendly machine learning for the web) SharePoint Framework (SPFx) extension
Data Science Project (Phyton)
By using back propagation algorithm in Multilinear Regression
practice 2.2 | multilinear regression | automobile company | price prediction
MultiLinear Model - US Bike Rental Company
marketing_analyst_MLR
In this post, we develop a Multiple Linear Regression model in Python using the Gradient Descent Algorithm for estimating Model Coefficients to predict the prices of houses in the San Francisco Bay Area.
Regression analysis of voice measurements to predict UPDRS scores for people susceptible to Parkinson's Disease
Building a linear model to predict the georpahical origin (latitude & latitude) of an individual.
Data Simplified, Finances Amplified
Demonstrating solving multilinear regression using gradient descent optimisation.
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