Dr. Theophano MitsainTowards Data ScienceUnlocking Valuable Data and Model Insights with Python Packages Yellowbrick and PiML (with Code)How to get insights about model robustness/reliability, training data size adequacy, and moreMay 171May 171
Dr. Theophano MitsainTowards Data ScienceMastering the Versatility and Depth of Python’s Rich Plot Collection(with Code)From Sankey diagrams and spider plots to ridge plots, this article spans various visualizations, each with its unique use case and insight.Mar 30Mar 30
Dr. Theophano MitsainMiddle-PauseFrom Shadows to Legacy: Unearthing the Strength of Our Ancestral PastHow I used ancient wisdom to improve my daily lifeJan 63Jan 63
Dr. Theophano MitsainTowards Data ScienceA Guide to 21 Feature Importance Methods and Packages in Machine Learning (with Code)From the OmniXAI, Shapash, and Dalex interpretability packages to the Boruta, Relief, and Random Forest feature selection algorithmsDec 19, 20234Dec 19, 20234
Dr. Theophano MitsainTowards Data ScienceNeed for Speed: Comparing Pandas 2.0 with Four Python Speed-Up Libs (with Code)Polars, Dask, RAPIDS.ai cuDF, and Numba are compared against Pandas 2.0 with pyarrow in the backend, vectorization, and itertuples()…May 19, 20232May 19, 20232
Dr. Theophano MitsainTowards Data ScienceFive Ways to Remember the Past (Model State) in PythonFrom closure functions and iterators to the State Machine Python libraryJun 14, 20222Jun 14, 20222
Dr. Theophano MitsainTowards Data SciencePython Factories for Scalable, Reusable, and Elegant CodeJun 3, 20211Jun 3, 20211
Dr. Theophano MitsainTowards Data ScienceDiscovering the Treasures of 22 R Exploratory Analysis PackagesFind out the fastest and most informative ways to do EDA in RMar 4, 20213Mar 4, 20213
Dr. Theophano MitsainTowards Data SciencePython and R for Data Wrangling: Examples for Both, Including Speed-Up Considerations.Upskill yourself by being able to wrangle data in both languages, and create notebooks with both Python and R cells.Aug 12, 20193Aug 12, 20193
Dr. Theophano MitsainTowards Data ScienceHow Do You Know You Have Enough Training Data?There is some debate recently as to whether data is the new oil [1] or not [2]. Whatever the case, acquiring training data for our machine…Apr 23, 20195Apr 23, 20195
