Predicting miles per gallon (MPG) for a car using UCI dataset
-
Updated
May 14, 2017 - Jupyter Notebook
Predicting miles per gallon (MPG) for a car using UCI dataset
Multiple Regression Analysis
Supervised Machine Learning Using Regression Analysis
Implemented Multiple Linear Regression using Backward Elimination Method. This code will work for all dependencies of the form y=b0+b1x1+b2x2+b3x3....bnxn
This particular case involved the data of 5000 customers of a Credit Card Major. The objective was to understand and prioritize the metrics/parameters that were driving the total credit card spend of a customer.
OLS, KNN, Ridge, LASSO, feature selection (FSR, BSR) on Kaggle problem house price prediction
Easily install and load all Rsquared Academy R packages.
This project is aimed at analyzing and predicting Bitcoin price fluctuation using Natural Language Processing on Twitter data and subsequently applying VADER sentiment analysis.
supervised linear regression from scratch in javascript
FYS-STK4155 Project 1
Linear regression on numerical attributes
Construct workable datasets from web data and applied various machine learning methods to predict future oil price
Master Degree Coursework: Econometrics I
Master Degree Coursework: Econometrics II
Leveraging python and its machine learning libraries (sklearn, OLS, etc) to execute all important data mining models
Predicting movie revenues with the OLS model
Implemented ordinary least squares regression from scratch in python by computing root mean square error and coefficient estimates
Fun Project -: Playing with the statistics. Main Motto -: Trying to understand the statistics underneath the various most commonly used Machine Learning Models. I have used two library i.e. Stats-Model and Scikit-Learn.
Add a description, image, and links to the ols-regression topic page so that developers can more easily learn about it.
To associate your repository with the ols-regression topic, visit your repo's landing page and select "manage topics."