Learning is an art, Lets learn Machine Learning.
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Updated
Oct 22, 2019 - Jupyter Notebook
Learning is an art, Lets learn Machine Learning.
Implementing Multi-Linear Regression using R.
MultiLinear Model - US Bike Rental Company
Demonstrating solving multilinear regression using gradient descent optimisation.
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.
The dataset is property of Ares Materials Inc
marketing_analyst_MLR
Data Science Project (Phyton)
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.
Building a linear model to predict the georpahical origin (latitude & latitude) of an individual.
Data Simplified, Finances Amplified
this projet is a homemade projet to explore posibilities of machine learning for forcasting issues
Predict the Price of the Model based on Age , Km driven ,Horse Power, Doors, Miles Per Gallon
This Repository contains all the files related to regression algorithms. In every file EDA and Implementation of particular regression model is done. it also contain some solved assignments of each algorithm. All files are in ipynb format.
A/B test run by an e-commerce website. The company has developed a new web page to try and increase the number of users who "convert," meaning the number of users who decide to pay for the company's product. Your goal is to work through this notebook to help the company understand if they should implement this new page, keep the old page, or per…
Predicting Wine Quality with Regression Model using R
[Machine Learning Part 1] Data Science | Studi Independen | MyEduSolve X Kampus Merdeka
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