All code for the tutorials are in this github repo.
Formal education in the 21st century has transformed into a choice instead of a mandatory step in life. With the internet boom and the rise of Massive Open Online Courses (MOOCs), one can opt for learning data science online and avoid the burden of student debt. Statistics show that eLearning enables students to learn 5x more material for every hour of training. The benefits of online learning are limitless — from the cost-cutting aspect to the flexible schedule and environment.
It’s the year 2020, and data science is more democratized than ever. This means any individual can do data science…
Have a ton of articles bookmarked to read later but never got to them? Don’t have the time to read long articles?
Don’t you wish you could summarize them all and get the gist of the articles?
With Hugging Face 🤗 , you can!
In this article, I will be using the Newspaper3k library to extract text from article links and summarize them with Hugging Face pre-trained summarization models. To wrap it all up, I created a simple user interface with Gradio so anyone can get summaries of articles just with their URL!
As always, here’s where you can find…
Sentiment Analysis is the process of determining whether a piece of text is considered to be positive, negative, or neutral.
It’s an application of Natural Language Processing that has tons of use cases.
As stated in Wikipedia:
Sentiment analysis is widely applied to voice of the customer materials such as reviews and survey responses, online and social media, and healthcare materials for applications that range from marketing to customer service to clinical medicine.
Imagine you’re a business owner, and you have over 10,000 product reviews for your product. …
There’s an ocean of noise on the internet for data science and AI that it can be overwhelming to focus on good quality news and content.
As Herbert A. Simon says:
“…a wealth of information creates a poverty of attention…”
The solution to information overload?
If you’re someone who wants to keep up with the industry, and are looking for the best newsletters to do so, then you’re in luck.
Below are 20+ reputable and content-rich newsletters that range from the latest news and opinions to the best tools, resources, and tutorials.
Categories of these newsletters:
- Data Science
Data is information, and having enough information is crucial for making the right decisions. How does one procure data easily from the web? The answer is web scraping.
Web scraping is an essential skill for data scientists to procure the data they need easily. Machine Learning algorithms and experiments require enough data to learn and generalize well on a specific problem. So often enough, data scientists need to get more data to improve models and experiments.
Some popular use cases of web scraping include using it for business intelligence, regulating prices, customer satisfaction using sentiment analysis, and more.
Data Engineering is the ‘real’ sexiest job in the 21st century. If you follow the data industry and are enthusiastic about the field, you may have seen or heard the term Data Engineering or the sexy title “Data Engineer” popping up everywhere.
If you’re curious about why and would like to dig deep into this topic, you’re in the right place!
With over 20 informative and helpful responses about this, below will be my attempt to summarise the main ideas…
In a previous article, I wrote about building an XGBoost model to predict video popularity for a past data science competition. It covered everything from loading the data and libraries to building the model itself.
Bitgrit has recently released a new competition with $3000 💵 up for grabs:
If you’ve ever wondered why tweets go viral, this is the perfect opportunity for you to find the answer using Data Science!
The competition ends on July 6, 2021, so sign up to get access to the data, and follow along with this article to get…
Computer Vision is a fascinating field of Artificial Intelligence that has tons of value in the real-world. There’s a huge wave of billion-dollar computer vision startups coming and Forbes expects the computer vision market to reach USD 49 billion by 2022.
The main goal of computer vision is to give computers the ability to understand the world through sight, and to make decisions based on their understanding.
In application, this technology allows the automation and augmentation of human sight, creating a myriad of use cases.
Disclaimer: This article expresses thoughts and ideas that are mine alone and do not reflect the view of bitgrit. This article is for educational purposes only and should NOT be taken as financial advice.
Cryptocurrency is a major topic of discussion recently as its market cap surged to a record $2 trillion in April 2021. To put that into comparison, the market cap of Apple, a 45 year old company has a market cap of around 2 trillion dollars as well.
If you don’t know about cryptocurrencies yet, it might be the time to start learning about them. They are…