In欧宝全站登录 . More onMedium.
There areatonof time series metrics out there, and many of these metrics have the same preprocessing steps and use cases. In order to limit redundancy, I will focus on three neat metrics with different use cases:
Even though there are uncountable data science techniques and algorithms, sometimes you still have the feeling that something is missing. One such thing which is missing or not much talked about is a non-linear correlation matrix.
We are used to the famous correlation matrix. However, in this article, you will…
In my previous two articles, I talked about how to measure correlations between the various columns in your dataset and how to detect multicollinearity between them:
However, these techniques are useful when the variables you are trying to compare with arecontinuous. How do you compare them if your variables…
In my previous article, you learned about the relationships between data in your dataset, be it within the same column (variance), or between columns (covarianceandcorrelation).
Another two additional terms that you usually encounter when you embark on your machine learning journey are:
In this article, I…
One of the topics that a data scientist must understand is the relationships that exist in your dataset. Before you start the machine learning process, it is critical to prepare your data so that only the relevant parts of your dataset is used for training. …
The primary purpose of using an ANOVA (Analysis of Variance) model is to determine whether differences in means exist across groups.
While a t-test is capable of establishing if differences exist across two means — a more extensive test is necessary if several groups exist.
In this example, we will…
I don’t like this phrase. Not because it’s not accurate (of course it’s accurate). I don’t like how it’s used to disarm analysts. This one simple phrase can bring any analysis to a screeching halt as soon as the words are uttered.
When a stakeholder says, “Yes… but correlation does…
Spatial operations are performed directly on the pixels of a given image and we classify these operations in three categories. “Spatial domain operations”is another word you can come across for this topic, these are the same terms!
Generally, multiple linear regression is about quantifying the linear relationship between one dependent variable and several independents variables. By means of this model, we can discover how one variable is influenced by other variables, for example, how income is influenced by education, region, age, gender, etc. …
Every now and then, someone comes and says “I’ve finally found a replacement for Pearson correlation”. The truth is that — despite its shortcomings — Pearson correlation (a.k.a.rcoefficient) is surprisingly hard to replace, due to its simplicity, robustness and reliability.
However, the cold hard formula may be a…
A Medium publication sharing concepts, ideas and codes.
