Archives

2021-05-10: course: IN PREP (Stats Series) Getting started with statistical models
2021-05-02: opinion: Few Ideas on Managing a Data Project
2021-04-03: course: (Stats Series) Introduction to Statistics
2021-03-22: opinion: Meat Consumption: Good or Bad?
2021-03-02: course: (ML Series) Introduction to Machine Learning III
2021-02-12: course: (ML Series) Decision Trees & Random Forests
2021-01-14: neuro: A Social Reinforcement Learning Hypothesis
2021-01-03: tutorial: Exporting files to different locations from Google Cloud in Python
2020-12-15: neuro: Harm to Others Acts as a Negative Reinforcer
2020-12-02: tutorial: Deploying Code on Google Cloud
2020-11-05: course: (ML Series) Support Vector Machine
2020-10-15: course: (ML Series) Logistic Regression
2020-10-03: course: (ML Series) Regression Approaches (Linear, Ridge, Lasso)
2020-09-30: neuro: Towards a unified theory of emotional contagion in — A meta-analysis
2020-09-29: course: (ML Series) K Means Clustering
2020-09-15: course: (ML Series) K Nearest Neighbors
2020-09-02: opinion: My Tableau usage, combined with Python
2020-08-25: tutorial: Creating a simple GUI with Tkinter
2020-08-03: tutorial: Python can also help our parents ;)
2020-07-05: tutorial: Frequentist vs Bayesian: Round 2!
2020-06-13: course: Frequentist vs Bayesian: Round 1!
2020-06-03: opinion: Academia vs Private Sector: first impressions.
2020-05-25: course: (ML Series) Introduction to Machine Learning II
2020-05-15: course: (ML Series) Introduction to Machine Learning I
2020-04-12: tutorial: An Approach to Computing Predicted Purchase - Part 2
2020-03-02: tutorial: Meta-Analysis and real life data using Python
2020-02-20: course: The Power of the For...of the Meta-Analysis. A Quick Intro
2020-01-28: tutorial: Customers and purchase: predictions to guide business. Part I
2019-12-16: tutorial: Drop the camels...go for the rats. Permutation and real data
2019-11-28: tutorial: Riding a camel or not riding a camel....Quicky into Permutations!