Jul 21Member-onlyHow To Manage Multiple Screen SessionsStart, Run, And Detach All Screen Sessions At Once — Linux’s Screen lets you run terminal applications to a Server in the background even if you disconnect from the ssh connection. It’s especially useful for us when running APIs or Web Apps like Streamlit. The problem with Screen is that if the server goes down for any reason like update…Screen2 min read
Jul 4Member-onlyHow To Add Filters For Querying Databases In StreamlitIn this tutorial, we will show you how you can use filters for databases in Streamlit. We will use PostgresSQL but you can use the same logic everywhere. The hypothetical database that we are going to use has a table called movies and we want to filter it based on…Streamlit3 min read
Published in Towards Data Science·Jun 29Member-onlyHow to Fine-Tune an NLP Regression Model with TransformersA complete guide — from data preprocessing to usage — Online libraries like HuggingFace provide us with state-of-the-art pre-trained A.I. models that can be used for many different applications in Data Science. In this post, we will show you how to use a pre-trained model for a regression problem. …Transformers5 min read
Published in Towards AI·May 22Member-onlyHow I Helped A Retail Company Using My Data Science SkillsThe Power Of Critical Thinking — Data scientists are like swiss army knives, we can use our knowledge nearly everywhere if we try to understand and think about a need or a problem. Many of us are hesitating to deal with projects that seem to be out of the data science scope and personally I think…Data Science5 min read
Published in Geek Culture·Apr 14Member-onlyBootstrap Sampling Using PythonA powerful tool to estimate population statistics from a sample — Bootstrapping is a method that estimates the population characteristics by using repeated sampling of a representative sample. In this post, we will use bootstrap in a real case scenario in which we will try to estimate the confidence interval of the population mean. For this example, we are using the…Statistics3 min read
Apr 1Member-onlySelenium In PythonA Beginner’s Guide To Browser Automations — Selenium is an open-source tool that can automate tasks on a web browser. Its main purpose is testing, however, it’s a powerful tool for a developer/data scientist because it has many more applications like scraping and automating boring tasks like posting on pages on Facebook. …Selenium4 min read
Published in Towards AI·Dec 15, 2021Member-onlyHow to Create a Simple Streamlit App + How to Deploy it on HerokuDevelop a mini cryptocurrency dashboard in a few lines of code — Streamlit is our favorite way to create python web apps due to its simplicity. You can build beautiful and complex apps without any front‑end experience. In this post, we will create a mini cryptocurrency dashboard that will show the closing price over time. To install Streamlit: pip install streamlit The python code The…Web App5 min read
Published in Towards Data Science·Nov 1, 2021Member-onlyA Complete Guide of How to Choose and Apply the Right Statistical Test in PythonGet a basic understanding of when you should apply Z-test, T-test, Chi-Squared test, ANOVA, and Correlation Test — We often underestimate statistics and their importance and from my own experience, I can tell for certain that it’s the most important part of Data Science. One of the most useful parts of statistics in Data Science is Statistical Tests and Hypothesis Testing. …Python5 min read
Published in Towards AI·Oct 12, 2021Member-onlyData Validation for Machine Learning Using TFDVThe most important part of machine learning in production — After the Machine Learning model deployment, we need somehow to validate the incoming datasets before we move on and input them in the ML pipeline. We can’t just rely on our sources and take for granted that the data will be ok. There might be new columns, new values, or…Machine Learning4 min read
Published in Towards Data Science·Oct 1, 2021Member-only3 Ways To Perform Quick Exploratory Data Analysis In PythonGain a better understanding of your data — Exploratory data analysis is a very important procedure in Data Science. Whatever we want to do with the data, we have to summarise their main characteristics so we can have a better understanding of them. Sometimes this can be hard to do and often we end up with big and…Exploratory Data Analysis3 min read
