Predicting CO2 Emissions from Vehicles with Multivariate Linear Regression

The data is provided by the government of Canada and provide model-specific fuel consumption ratings and estimated carbon dioxide (CO2) emissions for new light-duty vehicles for retail sale in Canada. For this project I utilized the datasets from 2010 to 2018. What I want to see is how well CO2 emissions from these vehicles can be predicted … Continue reading Predicting CO2 Emissions from Vehicles with Multivariate Linear Regression

Classifying the Iris (Flower) Species Using K-Nearest Neighbor

Iris Species Classification This was a tutorial machine learning project from the book, Introduction to Machine Learning with Python (Ch. 1). This uses the k-nearest neighbors algorithm to predict the classification of iris flowers based on sepal and pedal width and length.   In [25]: import pandas as pd import matplotlib.pyplot as plt import numpy as … Continue reading Classifying the Iris (Flower) Species Using K-Nearest Neighbor