Maria Tran @mariadatascience·Aug 28Hands on with time series analysis using Python and StatsmodelsIntroduction to time series
R_Talks·May 21A Practical Guide to statsmodels: The Python Library That Tells You Why Your Model Works, Not Just…“An approximate answer to the right question is worth a great deal more than a precise answer to the wrong question.” — John Tukey
Zackmendel·May 9Decoding the Data: Mastering Multiple Linear Regression, Your Fun Guide to Statsmodels in PythonMultiple Linear Regression (MLR) is like a statistical superpower, allowing you to model the relationship between a single dependent…
R_Talks·Apr 22OLS Regression Explained: How to Read the “Scary” Statsmodels Summary TableIf you’ve ever run a linear regression in Python using statsmodels, you’ve likely been greeted by a giant, intimidating wall of numbers. It…
Abhishek Biswas·Mar 9Beyond Prediction: Why Statsmodels is Essential for Statistical Inference in PythonIn the world of Python data science, scikit-learn is the undisputed king of predictive modelling. However, if your goal is to understand…
InPython in Plain EnglishbyNIBEDITA (NS)·Dec 28, 2025Building a Real-World Time Series Project with Nutrition DataTime Series Analysis is one of those topics that sounds intimidating at first. Words like seasonality, stationarity, forecasting models……
Stat Hacks·Oct 17, 2025Negative R²?! How I Broke Regression in Python (and What It Taught Me About Statsmodels)Note: this post is part of a series of posts about Data Analysis In The Real WorldA response icon1A response icon1
Data with Mirunalini·Oct 14, 2025Day 5 of 100 Days of Data Science: When Stats Models Make You Question Life ChoicesToday was one of those days where I stared at my computer screen long enough to consider whether I had accidentally signed up for a PhD in…
Hash Block·Jul 19, 2025Building a Time-Series Forecasting Model with SARIMA in PythonA step-by-step journey into seasonal modeling using statsmodels and SARIMAX — from differencing to diagnostics
