As a Data Scientist and in the field of data analysis more globally, load and save data (DataFrame) is almost systematic. Usually, I use df.to_csv('path/df.csv') and i think that almost all Pandas users do the same or did that at least once. All Python users know that saving data in…

Knowing that a customer is going to bring a certain amount of money for the company early enough can be very helpful to know how much the company can spend to retain it. …

In this post, we will learn how create a contact form using Flask. The result will be like this : I. Build Contact Form All script are available on: https://github.com/Faouzizi/flaskCreateContactForms First of all you need to install flask and flask_wtf using pip : pip install flask flask_wtf. a. Create our html contact page Here…

Here’s a complete tutorial to learn how we can create a responsive navigation bar, that adapt their layouts to the viewport size, using Flask from scratch. In this tutorial, we’ll look into how use Bootstrap to create a responsive NavBar on Flask. …

Clustering is a method which consists on grouping data points (clients, texts, images…) based on similarities. Clustering is an unsupervised machine learning problem that aims to process data and find similar structure in a set of data without any target values (dataset without labels). …

Extracting, analysing, processing and visualising data to solve real-world problems is the daily life of a data scientist. Understanding the business need and convert it to a technical problem and solve it using the best tools of the previous ones is our job. So to do that, you need to…

One of the tasks I always face during my Data Science journey is working in high dimensionality. That’s mean dealing with what we call Curse of Dimensionality. This phenomena refers to that when the dimensionality increases, the volume of the space increases so fast that the available data become sparse…

Working with time-series is basic thing in data science and most of the time as a Data Scientist or Data Analyst we don’t ask ourselves the question where this data is stored ? In this article I will briefly explain how you can use InfluxDB (a time series database: TSDB)…

I worked for different companies for my last 5 years as a Data Scientist and I saw data science project fail and other success. Here I will explain the reasons why promising projects never saw the light of day in production and how we can avoid this kind of failure. I. Having the wrong guy as Manager & Tech lead …