Example with R and Python code Contents 1. About Linear Regression 2. Implementation 3. R² and Adjusted-R² 4. Residual Standard Error 5. Bland-Altman Statistics and Plot 6. Akaike Information Criterion (AIC) 7. Bayesian Information Criterion (BIC) 8. Correlation Coefficient (CC) 9. Z-score 10. Model Choice 0 Loading Packages and Libraries Before we begin, and assuming you…

80% of the Work in Data Science is Data Preparation, the Remaining 20% is Coding — Even if your path in the world of Data Science is new, you have certainly heard or read somewhere that 80% of the Data Scientist’s work is data preparation. It may not sound like a noble task for a prestigious and sexy Data Scientist…

April-August 2022 — August has come, and with it, it is time for some tech updates. In a last article I updated three items, and this time I have even more exciting reviews! Keep reading and let me know in the comments if you want some deeper review about any of these products! …

Simple discussion about Google Colab limitations in real life projects — Google Collaboratory is a Cloud Service provided by Google that allows you to use a “Jupyter Notebook-like” environment to run Python, allow access to GPU and TPU processors, and has already installed the main libraries you will need for Data Science. All this is available for free, but within a…

Tutorial for M1, M1 Pro, M1 Max and M2 — If you are a Data Scientist, Data Analyst, Researcher or an enthusiastic in these fields of knowledge, you certainly have heard about or read somewhere how the recent ARM processors from Apple can boost your work. I recently bought a MacBook Pro 14 with M1 Pro processor and I am…

And I have no expectations of getting my money back in the future — In the beginning of 2022 I decided to invest some money in cryptocurrency. It was the first time I was investing in crypto, I have no previous experience, and I barely understand how crypto work. So I meet all the necessary criteria to fail! My expectation of ROI Cryptocurrencies are an extremely volatile value…

And a symbol of status — When I bought some tech, gadgets, or accessories, the primary objective in my mind is to serve a practical purpose, for example, to be my working tool, to listen to high-fidelity music, or to be connected on the way. This way, I usually define the minimum technologic requirements my new…

With code examples for binary and multinomial classification — When evaluating a model, there are several evaluation metrics we can use, other than accuracy. While accuracy is an important metric for model evaluation in training phase and to apply model adjustments, it is not the best metric for model evaluation. Why? Because the data we use to build most…

And the Accuracy Trap — We can say that we have imbalanced data when one of the target variable classes has a much lower frequency than the other(s). One common example is data on cancer detection. …