Dataset Name: BaSalam (comments & products)
🎯 🔍 This dataset is not just data—it’s a gateway to understanding the pulse of the BaSalam marketplace, providing a foundation for nuanced market analysis, sentiment exploration, and machine learning applications in e-commerce.
🚀 💡 Ready to analyze trends, gauge consumer sentiment, or examine product performance? The BaSalam dataset offers all the necessary tools and data for a thorough dive into e-commerce dynamics!
📊 📝 Dive into two feature-packed files: BaSalam.products.csv and BaSalam.reviews.csv, showcasing a detailed inventory of products and a rich tapestry of customer interactions.
🌐 Unveiling Insights into BaSalam's Product Universe and Customer Sentiments
🤌 From: Kaggle
🤖 Size: 302.3 MB
🔵 https://t.me/datasets1
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Dataset Name: Crypto Data
🎯🔍Cryptocurrency web scraping involves extracting data related to digital currencies from various online sources such as cryptocurrency exchanges, news websites, forums, and social media platforms. This data can encompass a wide range of information, including real-time price data, trading volumes, market sentiment, blockchain statistics, ICO details, and more.
🚀💡Cryptocurrency web scraping is utilized by traders, analysts, researchers, and developers to gather insights, conduct market research, develop trading strategies, build financial models, and create data-driven applications. By collecting and analyzing large volumes of cryptocurrency data, stakeholders can make informed decisions and stay up-to-date with the rapidly evolving crypto market landscape.
🌐Cryptic Data containing prices, market cap, or trading volumes info
🤌 From: Kaggle
🤖 Size: 1.2 MB
🔵 https://t.me/datasets1
🎯🔍Cryptocurrency web scraping involves extracting data related to digital currencies from various online sources such as cryptocurrency exchanges, news websites, forums, and social media platforms. This data can encompass a wide range of information, including real-time price data, trading volumes, market sentiment, blockchain statistics, ICO details, and more.
🚀💡Cryptocurrency web scraping is utilized by traders, analysts, researchers, and developers to gather insights, conduct market research, develop trading strategies, build financial models, and create data-driven applications. By collecting and analyzing large volumes of cryptocurrency data, stakeholders can make informed decisions and stay up-to-date with the rapidly evolving crypto market landscape.
🌐Cryptic Data containing prices, market cap, or trading volumes info
🤌 From: Kaggle
🤖 Size: 1.2 MB
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Dataset Name: Handwritten math symbols dataset
🎯🔍dataset does not contain Hebrew alphabet at all. It includes basic Greek alphabet symbols like: alpha, beta, gamma, mu, sigma, phi and theta.
🚀💡English alphanumeric symbols are included.
All math operators, set operators. Basic pre-defined math functions like: log, lim, cos, sin, tan. Math symbols like: \int, \sum, \sqrt, \delta and more.
🤌 From: Kaggle
🤖 Size: 343 MB
🔵 https://t.me/datasets1
🎯🔍dataset does not contain Hebrew alphabet at all. It includes basic Greek alphabet symbols like: alpha, beta, gamma, mu, sigma, phi and theta.
🚀💡English alphanumeric symbols are included.
All math operators, set operators. Basic pre-defined math functions like: log, lim, cos, sin, tan. Math symbols like: \int, \sum, \sqrt, \delta and more.
🤌 From: Kaggle
🤖 Size: 343 MB
🔵 https://t.me/datasets1
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Dataset Name: Style Color Images
🔍 Brand and Product Recognition
🚀 💡 The main dataset (style.zip) is 2184 color images (150x150x3) with 7 brands and 10 products, and the file with labels style.csv.
Photo files are in the .png format and the labels are integers and values.
🤌 From: Kaggle
🤖 Size: 343 MB
🔵 https://t.me/datasets1
Photo files are in the .png format and the labels are integers and values.
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TON is Hosting Three-Day Offline Marathons for Developers in 13 Cities Worldwide
TON (The Open Network), a blockchain integrated into Telegram, is currently holding the largest hackathon in its history, “The Open League Hackathon,” with a prize pool of $2,000,000!
To support the hackathon, TON Society is organizing offline events around the world, giving Web3 enthusiasts the opportunity to spend three days immersed in development and networking.
📍 The marathons will take place in Prague, Berlin, Kyiv, Warsaw, Tbilisi, Belgrade, Seoul, Taipei (Taiwan), Gurugram (India), Hong Kong, Minsk, Moscow, and Saint Petersburg. The first events start on May 24th, so hurry up and register!
🔥 Why you should participate:
— 3 days of networking, lectures, competitions, and working on your own projects with continuous support from TON Foundation representatives and teams from the TON ecosystem. You can also join online.
— $5,000 prize for the top three projects at each offline event + plenty of merchandise and other bonuses.
Don’t miss the chance to present your mini-application to 900 million active Telegram users with TON.
Check the marathon schedule and details here - sign up and don't miss out on this great opportunity!
For guaranteed application review and other inquiries, contact the community manager @kate_shuffle
TON (The Open Network), a blockchain integrated into Telegram, is currently holding the largest hackathon in its history, “The Open League Hackathon,” with a prize pool of $2,000,000!
To support the hackathon, TON Society is organizing offline events around the world, giving Web3 enthusiasts the opportunity to spend three days immersed in development and networking.
📍 The marathons will take place in Prague, Berlin, Kyiv, Warsaw, Tbilisi, Belgrade, Seoul, Taipei (Taiwan), Gurugram (India), Hong Kong, Minsk, Moscow, and Saint Petersburg. The first events start on May 24th, so hurry up and register!
🔥 Why you should participate:
— 3 days of networking, lectures, competitions, and working on your own projects with continuous support from TON Foundation representatives and teams from the TON ecosystem. You can also join online.
— $5,000 prize for the top three projects at each offline event + plenty of merchandise and other bonuses.
Don’t miss the chance to present your mini-application to 900 million active Telegram users with TON.
Check the marathon schedule and details here - sign up and don't miss out on this great opportunity!
For guaranteed application review and other inquiries, contact the community manager @kate_shuffle
TON
Your Digital Passport in TON Ecosystem
Build your reputation with every app you use and every contribution you make.
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Forwarded from Machine Learning with Python
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🔒 Dataset Name: Brent Oil Prices
🔍 Daily historical Brent Oil Prices available on the U.S. Energy Information Admin
🚀 The data contains daily Brent oil prices from 17th of May 1987 until the 13th of November 2022.
💡 The aim of this dataset and work is to predict future Crude Oil Prices based on the historical data available in the dataset.
🤌 From: Kaggle
🤖 Size: 38.8 kB
🔵 https://t.me/datasets1
🔍 Daily historical Brent Oil Prices available on the U.S. Energy Information Admin
🚀 The data contains daily Brent oil prices from 17th of May 1987 until the 13th of November 2022.
💡 The aim of this dataset and work is to predict future Crude Oil Prices based on the historical data available in the dataset.
🤌 From: Kaggle
🤖 Size: 38.8 kB
🔵 https://t.me/datasets1
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Are you ready to release the Spotify Songs Album dataset?
Anonymous Poll
42%
Yes 🙃
7%
Yessss ☺️
52%
Yesssssss 😍
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🔒 Dataset Name: Spotify Songs Album
🔍 This dataset provides concise details about music tracks and their performance across various platforms. It includes essential information like track name, artist(s), release date, and presence in popular playlists and charts on platforms like Spotify, Apple Music, Deezer, and Shazam. Additionally, it features metrics such as BPM, key, mode, danceability, valence, energy, acousticness, instrumentalness, and liveness_speechiness, which offer insights into the musical characteristics and appeal of each track.
💡 With this data, analysts can evaluate the popularity, genre, and audience engagement of different music offerings across multiple streaming services.
🤌 From: Kaggle
🤖 Size: 47.1 kB
🔵 https://t.me/datasets1
🔍 This dataset provides concise details about music tracks and their performance across various platforms. It includes essential information like track name, artist(s), release date, and presence in popular playlists and charts on platforms like Spotify, Apple Music, Deezer, and Shazam. Additionally, it features metrics such as BPM, key, mode, danceability, valence, energy, acousticness, instrumentalness, and liveness_speechiness, which offer insights into the musical characteristics and appeal of each track.
💡 With this data, analysts can evaluate the popularity, genre, and audience engagement of different music offerings across multiple streaming services.
🤌 From: Kaggle
🤖 Size: 47.1 kB
🔵 https://t.me/datasets1
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