Based on our record, Kaggle seems to be a lot more popular than Trint. While we know about 99 links to Kaggle, we've tracked only 8 mentions of Trint. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Create audio descriptions of visual content, such as images and videos. Descript, Caption AI, Trint, and IBM Watson Captioningare good tools for generating captions and descriptions for videos. Source: about 1 year ago
You could check on this for transcription. Source: over 1 year ago
There's simple ones like Trint (https://trint.com/) for transcription of interviews and things like Grammarly for improving text. ChatGPT is also good at improving text: chat.openai.com/. Source: over 1 year ago
If not, see how you get on with Trint. It’s AI transcription but you should find it more accurate than Premiere (and you can use it to quickly create SRT files after the transcript has been reviewed/corrected). Trint is very good. Source: over 1 year ago
The client I’m working for currently turned me on to https://trint.com/. It’s a transcription service that syncs the searchable transcript to the time code of the clip. Script has bad timecode for a cut? Search the text to jump to the correct time. Bad inflection on the end of a sound bite? Search for the word with a period after it, so you only get sentence ending instances of the word. It has made my life so... Source: almost 2 years ago
Need help with last minute python project (due today). Project involves choosing a dataset from kaggle.com to analyze and creating questions to answer through analyzing the data. I have a pdf file of the project guidelines if you want more details. Also on a budget. Source: about 1 year ago
Next, you can do basic analysis of datasets in Python using libraries like pandas and scikit-learn. There's a lot of example datasets on kaggle.com. Source: about 1 year ago
Also look into kaggle.com and participate in competitions, etc. This will be something you can show on your CV as real-world-experience while boosting your skills. Source: about 1 year ago
Take a loot at the Open Images dataset or Kaggle. Source: about 1 year ago
If you took a good database course and a good data science/data analytics/informatics course in college, you likely have the knowledge you need for the PBQs. Looking at the "Given a scenario..." objectives for the Data+, I think I would practice up basic SQL, then fire up PowerBI/RStudio/Jupyter Notebook/whatever your favorite visualization tool is and take some real-world data from kaggle.com and make some... Source: about 1 year ago
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