Pinned

1. PY-R-Machine-Learning-Practice PY-R-Machine-Learning-Practice Public

   This repository consists of codes and reports for various methods of Machine Learning, such as K-Nearest Neighbour, Naive Bayes Classifier, Decision Tree Classifier and Clustering.

   HTML

2. PY-Stock-Market-Clustering PY-Stock-Market-Clustering Public

   Algorithmic approach to analysing performance and the similarity of different stocks in S&P 500 via cluster analysis.

   Jupyter Notebook 9 2

3. PY-Technical-Analysis-for-Stock-Trading PY-Technical-Analysis-for-Stock-Trading Public

   Python code for trading strategies using stock-price 'momentum' (based on moving price averages).

   Jupyter Notebook 2 2

4. R-Loan-Default-Prediction-Lending-Club-Data- R-Loan-Default-Prediction-Lending-Club-Data- Public

   Aim is to accurately predict loan default rate. Used Logistic Regression, Tree Classifier, Nearest Neighbour and LASSO reduced models. The work completed in R

   1

5. PY-Image_Recognition PY-Image_Recognition Public

   Building an algorithm capable of successfully recognising and classifying hand-written digits. Source of data is MNIST Dataset.

   Python 1

6. R-Stock_returns_prediction R-Stock_returns_prediction Public

   Use of data analytics and machine learning for prediction and classification of daily returns of industry portfolios