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Finally, start practicing SQL with your own database

Writing SQL is important. Being able to efficiently query a database is often considered one of the most essential skills to develop as an aspiring data analyst/scientist.

SQL is not only important but also quite commonly used. According to theStackoverflow Developer Survey 2021, SQL ranks among the top five…

Inspecting the performance of Vader, Happy Transformer, TextBlob, and Google NL API, discussing their limitations and tips for selecting the best one

Sentiment analysis is a large field in natural language processing (NLP) that uses techniques to identify, extract and quantify emotions from textual data. In companies, methods of sentiment analysis help automatically understand customer feedback, evaluate social media conversations, and might also help prioritize communication with customers in customer care departments.

Machine Learning

A reflection on how the use of the train_test_split () function could lead to wrong results, coupled with a practical demonstration

Surely almost all data scientists have tried to use thetrain_test_split()function at least once in their life. Thetrain_test_split()function is provided by the scikit-learn Python package. Usually, we do not care much about the effects of using this function, because with a single line of code we obtain…

Some ideas on how to look at data in manufacturing and try to understand if there can be some systemic manufacturing issues, without knowing the processes

When talking about Manufacturing, data are becoming more and more important. I’ve studied different kinds of manufacturing processes and I can say that we can understand if there can be some manufacturing issues in the process, just by analyzing the data; of course, after the analysis, if we think that…

Performing text transcription and topic detection over audio files with Python and AssemblyAI

Introduction

In one of my recent articles, I discussed aboutSpeech Recognition and how to implement it in Python. In today’s article we will go a step further and explore how to perform topic detection over audio and video files.

As an example let’s consider podcasts which are becoming more and…

The finite-difference method is a powerful technique to solve complex problems, and NumPy makes itfast

You can find all the code at the end. All equation-images are made by the author.

I recently came across this post about solving a 2D partial differential equation using a finite-difference method. I found…

How I almost arrived at the same opening word as 3blue1brown

If you’re viewing this article, then you’ve likely heard of the trendy internet game “Wordle”. It’s a highly addictive, family-dividing brain-teaser that was recently purchased by theNew York Times.The objective of this game is to guess the word of the day, which is always a 5-letter word, in…

7基本优惠pts to Succeed With Distributed Computing in Python

Enter the Distributed Universe

More and more data scientists are venturing into the world of distributed computing to scale up their computations and process larger datasets faster. But starting your distributed computing journey can feel a bit like entering an alternate universe: overwhelming, intimidating and confusing.

But here’s the good news:you don’t need…

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