Scripts for ML applications

Collection of python scripts for ML and data manipulation tasks. More information is written donw the in header of each script.

Scripts to analyse titanic dataset

Link on Kaggle https://www.kaggle.com/c/titanic | Folder titanic_comp_kaggle/

• titanic_survival_hybrid.py | simple script illustrating how to train a NN in keras.
• low_statistics_classification.py | simple script comparing performance on different classifiers for the titanic dataset.
• plotting_examples.py | simple script for plotting the titanic dataset
• titanic_survival_regularisation.py | example of how to use simple regularisation methods

Scripts for simple customers analysis

Dataset http://archive.ics.uci.edu/ml/datasets/Online+Retail+II | Folder simple_customers_analysis/

• customers_insights_online_retail.py | contains all relevant functions for plotting and dataframe manipulation

Low statisitcs challenge

Dataset on kaggle https://www.kaggle.com/c/dont-overfit-ii/overview | Folder https://github.com/nicola-orlando/tensorflow/tree/master/simple_tutorials/dont_overfit_comp_kaggle

Covid-19 Roche Kaggle challenge

Ongoing https://www.kaggle.com/roche-data-science-coalition/uncover

House Prices: Advanced Regression Techniques Kaggle challenge

Ongoing https://www.kaggle.com/c/house-prices-advanced-regression-techniques/overview