In this project, we aim to predict whether or not it will rain tomorrow by training a Random Forest classification model on target RainTomorrow. This dataset contains daily weather observations from numerous Australian weather stations. The data contains the following columns: Date: The date of observation Location: The common name of the location of the weather station MinTemp: The minimum temperature in degrees celsius MaxTemp: The maximum temperature in degrees celsius Rainfall: The amount of rainfall recorded …
Month: August 2019
Logistic Regression is a Machine Learning classification algorithm that is used to predict the probability of a categorical dependent variable. In logistic regression, the dependent variable is a binary variable that contains data coded as 1 (yes, success, etc.) or 0 (no, failure, etc.). We use Logistic Regression To predict whether an email is spam (1) or not (0), Whether the tumor is malignant (1) or not (0), To predict whether a voice/face man (1) …
In this project, we are going to visualise and analyse all the access points of public transport in Manchester. This project is focusing on spatial data using geopandas and shapely in python. we will use the Counties and Unitary Authorities (December 2016) Super Generalised Clipped Boundaries in England and Wales and also national public transport access nodes datasets which they have been provided by the UK government. checkout the below links to download datasets: Dataset1 Dataset2 let’s importing …