Basic Statistics in Python
Basic Statistics in Python Let's create a dataset to work with and plot a histogram to visualise: In [1]: import numpy as np from scipy import stats import matplotlib import matplotlib.pyplot…
Random Forests in python using scikit-learn
Random Forests in python using scikit-learnIn this post we'll be using the Parkinson's data set available from UCI here to predict Parkinson's status from potential predictors using Random Forests. Decision…
Support Vector Classifiers in python using scikit-learn
Support Vector Classifiers in python using scikit-learnIn this post we will be using a Support Vector Classifier (SVC) to classify handwritten digits. This dataset can be found here. Support Vector…
Decision Tree Classifier in Python using Scikit-learn
Decision Tree Classifier in Python using Scikit-learnDecision Trees can be used as classifier or regression models. A tree structure is constructed that breaks the dataset down into smaller subsets eventually…
Linear Regression in Python using scikit-learn
Linear Regression in Python using scikit-learnIn this post, we'll be exploring Linear Regression using scikit-learn in python. We will use the physical attributes of a car to predict its miles…
Auto-updating dropdown fields in javascript
In this post we'll explore the use of JavaScript to automatically update dropdown fields based on the input of the previous field. For an example, see the codepen example below:…
Autofilling forms with Javascript
In this post we're going to write some JavaScript that will allow us to autofill a form. We'll fill in a text input, a dropdown input and a radio input.…
Feature Scaling with scikit-learn
Feature Scaling with scikit-learn In this post we explore 3 methods of feature scaling that are implemented in scikit-learn: StandardScaler MinMaxScaler RobustScaler Normalizer Standard Scaler The StandardScaler assumes your data…
K-nearest Neighbours Classification in python
K-nearest Neighbours Classification in pythonK-nearest Neighbours is a classification algorithm. Just like K-means, it uses Euclidean distance to assign samples, but K-nearest neighbours is a supervised algorithm and requires training…
Scoring Classifier Models using scikit-learn
Scoring Classifier Models using scikit-learn scikit-learn comes with a few methods to help us score our categorical models. The first is accuracy_score, which provides a simple accuracy score of our…