stella-spyrou Goto Github PK
Name: Stella Spyrou
Type: User
Company: PwC
Bio: Senior Associate Data Analyst
Location: London, United Kingdom
Stella Spyrou's Projects
analsyse-international-debt-statistics-with-sql
This is a project experimenting with SQL queries in order to answer interesting questions about international debt using data from The World Bank.
data-analytics-project---classification-with-python
In this project, I predict which customers are more likely to respond positively to a bank marketing call by setting up a regular savings deposit or subscribing the term “made_deposit”. Three classification algorithms have been developed in order to predict the target variable. Logistic Regression, Decision Tree and Multi-Layer Perceptron (MLP). The analysis of the project includes Data Summary, Data Preparation, Modelling, Results and Errors using Evaluation Metrics, Confusion Matrices and ROC Curve.
datasciencecoursera
Project of the Data Scientist's Toolbox - This is a repository for Data Science Specialization offered by John Hopkins University
datasharing
The Leek group guide to data sharing
hello-world
This is a place where I store ideas, resources, or even share and discuss things with others.
predicting-sales
Linking a pre-existing R Project with GitHub. The project - Predicting Ice Cream Sales - was carried out on 'Statistics with R' module during the MSc Data Science for Business at the University of Stirling.
recommender-systems---collaborative-filtering-cf-approach
Building Personalised Recommendations with Machine Learning for Financial Services Marketing: A Collaborative Filtering Approach
representing-and-manipulating-text-data
An analysis of the book, Around the World in 80 Days by Jules Verne. The project deals with text data and makes use of NLTK Sentiment Analysis (using VADER tool in the nltk library). All experiments are implemented using Python programming language.
testing-r
A repository that will be linked with RStudio
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