Posts for year 2018

• 2018-Dec-30Fitting a volatility model on stocks
• 2018-Dec-30Mitigating model overfit
• 2018-Dec-20Creating a Nikola coding blog
• 2018-Dec-14Exploring the efficient frontier
• 2018-Dec-10Working with Kaggle datasets
• 2018-Dec-08Steps for building a machine learning model
• 2018-Dec-07My Python workflow for data science and financial research
• 2018-Dec-05Bag of words with nltk
• 2018-Dec-01Natural Language Processing (NLP)
• 2018-Dec-01Timeseries forecasting
• 2018-Dec-01Trivariate t-copula
• 2018-Nov-23Setting up a Chromebook for Python programming
• 2018-Oct-15Bitcoin: investment bubble or the future of money?
• 2018-Oct-08Asset pricing & factor regressions
• 2018-Oct-05Reading data from Ken French's website using Python
• 2018-Oct-01Diversifying your investment portfolio with bonds
• 2018-Sep-30Nikola vs Pelican vs Hugo
• 2018-Sep-01Creating a Pelican coding blog
• 2018-Aug-01Digital banking and high net worth investors
• 2018-Mar-01The impact of MiFID II