Natural Language Processing (NLP) and ML within 100% Snowflake using Snowpark Python
Opinions expressed in this post are solely my own and do not represent the views or opinions of my employer.
Read moreDeep Learning, NLP, NMT, AI, ML
Python tutorials
Opinions expressed in this post are solely my own and do not represent the views or opinions of my employer.
Read moreTrendyol Data Science Team from a Intern’s Perspective How my Journey Began Hi! My name’s Okan and I am currently doing an internship at Trendyol, a leading international e-commerce platform founded in Turkey.
Read moreGitHub – anil-yelken/SOAR: SOAR SOAR stands for “Security Orchestration, Automation and Incident Response”. The SOAR solution is technology that uses… github.com
Read moreAs someone who loves stories, I’ve always dreamt of publishing my own. One of the stories I created is about five naughty little bugs — a story my children love to hear (again… and again… and again). A week ago I came across DALL·E 2 which sparked my curiosity.
Read moreOur data platform has been running for years. We hired a bunch of data scientist and engineers, too many unused tables which are running constant pipelines. The value we get from it is not enough to justify the investment we’ve made.
Read moreA quick look at recently released python 3.11 features
Read moreAt some point in your Python journey, you may need to find the first item that matches a certain criterion in a Python iterable, such as a list or dictionary. The simplest case is that you need to confirm that a particular item exists in the iterable. For example, you want to find a name in a list of names or a substring inside a string. In these cases, you’re best off using the in operator. However, there are many […]
Read more“Computers are incredibly fast, accurate and stupid; humans are incredibly slow, inaccurate, and brilliant; together they are powerful beyond imagination.” Albert Einstein From detecting Spam emails to chatting with Bots messages through your favorite social media application, the use of Natural Language Processing (NLP) has been huge.
Read moreAuto-sklearn library gives you the ability to apply bulk ML Models on your dataset along with changing and finding best hyperparameter for that model. The only disadvantage is that it is not available for windows users, but since I am also a windows user so to overcome this problem, I recommend you use google colab, Kaggle, or Docker. There you can easily install the auto-sklearn library.
Read morePython 3.11 is out now–but should you switch to it immediately? And if you shouldn’t upgrade just yet, when should you? The short answer is that, no, you probably don’t want to switch immediately; quite possibly you can’t switch immediately. To understand why, we need to consider Python packaging, the software development process, and take a look at the history of past releases. We can then make a guess about when Python 3.11 will actually be usable. The problems with […]
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