Published in Towards Data Science·PinnedMember-onlyExplaining Feature Importance by example of a Random ForestLearn the most popular methods of determining feature importance in Python — In many (business) cases it is equally important to not only have an accurate, but also an interpretable model. Oftentimes, apart from wanting to know what our model’s house price prediction is, we also wonder why it is this high/low and which features are most important in determining the forecast…Machine Learning12 min readMachine Learning12 min read
Dec 30, 2022Introducing the second edition of Python for Finance CookbookWhat led me to write a second edition and what you can expect from reading it — Almost 3 years after the publication of my first book — Python for Finance Cookbook — the second edition was published. To be perfectly honest, after the publication of the first edition I have not expected to ever write another book. …Quantitative Finance10 min readQuantitative Finance10 min read
Published in Towards Data Science·Nov 21, 2022Member-onlyTurn VS Code into a One-Stop Shop for ML ExperimentsHow to run and evaluate experiments without leaving your IDE — One of the biggest threats to productivity in recent times is context switching. It is a term originating from computer science but applied to humans it refers to the process of stopping work on one thing, performing a different task, and then picking back up the initial task. During a…Data Science14 min readData Science14 min read
Published in Towards Data Science·Aug 31, 2022Member-onlyDealing with Outliers Using Three Robust Linear Regression ModelsWith a hands-on example of using Huber, RANSAC and Theil-Sen regression algorithms — Linear regression is one of the simplest machine learning models out there. It is often the starting point not only for learning about data science but also for building quick and simple minimum viable products (MVPs), which then serve as benchmarks for more complex algorithms. In general, linear regression fits…Machine Learning11 min readMachine Learning11 min read
Published in Towards Data Science·Aug 1, 2022Member-onlyR Shiny is coming to PythonShiny is joining the ranks of web app tools such as Streamlit and Dash — Recently RStudio announced that the company is going to change its name to Posit (meaning: to propose an idea or theory) to reflect the company’s plans to expand its focus beyond R. Their efforts will now also cover Python users and integration with Visual Studio Code. However, R users were…Python5 min readPython5 min read
Published in Towards Data Science·Jul 29, 2022Member-onlyThree Approaches to Feature Engineering for Time SeriesUsing dummy variables, cyclical encoding and radial basis functions — Imagine you have just started a new data science project. The goal is to build a model predicting Y, the target variable. You have already received some data from the stakeholders/data engineers, did a thorough EDA, and selected some variables you believe are relevant for the problem at hand. Then…Artificial Intelligence11 min readArtificial Intelligence11 min read
Published in Geek Culture·Jul 16, 2022Member-onlyInvestigating the effects of resampling imbalanced datasets with data validation techniquesLearn what is the impact of the popular resampling approaches to dealing with class imbalance — When dealing with imbalanced data, one of the go-to approaches is to resample the training data to reduce the class imbalance. This can involve undersampling the majority class, oversampling the minority class, or a combination of both. …Artificial Intelligence14 min readArtificial Intelligence14 min read
Published in Towards Data Science·May 12, 2022Member-onlyEstimating the Performance of an ML Model in the Absence of Ground TruthIs it even possible? How should you approach it? — Deploying machine and deep learning models to production is definitely a very satisfying moment for each data scientist working on the project. However, by no means it is the project’s last step. …Data Science12 min readData Science12 min read
Published in Towards Data Science·May 2, 2022Member-onlyPyScript — unleash the power of Python in your browserA sneak peek at how to run Python from HTML code — During a keynote speech at PyCon US 2022, Anaconda’s CEO Peter Wang unveiled quite a surprising project — PyScript. It is a JavaScript framework that allows users to create Python applications in the browser using a mix of Python and standard HTML. The project’s ultimate goal is to allow a…Python5 min readPython5 min read
Published in Towards Data Science·Mar 31, 2022Member-onlyTime Series DIY: Seasonal DecompositionLearn what happens under the hood of statsmodel’s seasonal_decompose — If you have worked with time series, you have probably already used seasonal_decompose from statsmodel (or R’s equivalent). Long story short, it splits a time series into three components: trend, seasonality, and the residuals. After running the command, you see something like the plot below.Time Series Analysis7 min readTime Series Analysis7 min read
