save the trained machine learning

How to save the trained machine learning models in Python.

Saman .E

3 min read

Building a machine learning model is just the first step, in many cases, you need to access the built models later to speed up your learning process or your data dimensions for each model...

An introduction to multiprocessing in Python

In the following tutorial, I talk about Multiprocessing in Python. By using Multiprocessing

Saman .E

2 min read

In the following tutorial, I talk about Multiprocessing in Python. By using Multiprocessing, you can break the task between processors of the network. Moreover, the accumulated computational time will reduce

Multi-criteria decision making — TOPSIS

The TOPSIS method is a Multi-Criteria Decision-Making (MCDM)

Saman .E

3 min read

The reason for selecting this method to talk about is that in machine learning, sometimes we need to rank our results and observations to have better insight for making the final decision.

How to make a data frame from different CSV files in Python

In this scenario, we assume that we have different files with the same number of rows and a different number of columns. The goal would be the final Data frame that contains all the values.

Saman .E

1 minute read

Imagine you trained separate machine learning models or one model over different datasets and have independent outputs for various datasets. Now, you need to have a final or intermediate report from the files before going to the next steps. Therefore, you have to analyze all the results.