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medium-articles

Code used to obtain results for my Medium articles - medium@conorosullyDS

Article Code Description
The Power of Feature Engineering feature_engineering.ipynb Compare the performance of logistic regression to a NN Classifier on a non-linear dataset
Identifying Restaurant Hotspots with a Gaussian Mixture Model gmm_restaurant.ipynb Using a GMM to identify intuitive restaurant clusters in Toronto, Canada
Visualising the Classification Power of Data using PCA pca_visualisation.ipynb Using PCA to explore how well your data can separate classes
Deep Neural Network Language Identification language_classification.ipynb Classifying the language of a piece of text using a DNN and character n-grams
Too Many Terms Ruins the Regression polynomial_regression_overfitting.ipynb Overfitting with polynomial regression and how to avoid it
US Election Choropleth with Python US_election_map.ipynb Creating time-series choropleths of US election results
Finding and Visualising Interactions interactions.R Analysing interactions using feature importance, Friedman’s H-statistic and ICE Plots
Introduction to Sentiment Analysis sentiment_analysis.ipynb Creating your first sentiment analysis model with Python
Finding and Visualising Non-Linear Relationships nonlinear_relationships.R Analysing non-linear relationships with partial dependence plots (PDPs), mutual information and feature importance