🔒 Dataset Name: Web Network Traffic
🚦Network traffic for classification of good or bad request
🚀 This dataset contains network traffic logs captured by Burp-Suite, aimed at classifying web requests as either good or bad based on their characteristics. The dataset is designed for the task of predicting whether incoming requests are legitimate (good) or malicious (bad), aiding in the detection and prevention of web-based attacks.
🎲 From: Kaggle
🤖 Size: 112.3 KB
🔄 https://t.me/datasets1
🚦Network traffic for classification of good or bad request
🚀 This dataset contains network traffic logs captured by Burp-Suite, aimed at classifying web requests as either good or bad based on their characteristics. The dataset is designed for the task of predicting whether incoming requests are legitimate (good) or malicious (bad), aiding in the detection and prevention of web-based attacks.
🎲 From: Kaggle
🤖 Size: 112.3 KB
🔄 https://t.me/datasets1
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🔒 Dataset Name: Amazon Phone Data: Prices, Ratings & Sales Insight
♦️Real-time data on phone prices, ratings, and sales trends for analysis
🚀 This dataset provides comprehensive real-time information on 340 phone products from Amazon, collected using the "Real-Time Amazon Data" API. The data covers various attributes such as product titles, prices, ratings, availability, and sales volume, offering a valuable resource for e-commerce analysis, machine learning projects, and consumer behavior studies focused on mobile phones.
🎲 From: Kaggle
🤖 Size: 30.4 kB
🔄 https://t.me/datasets1
♦️Real-time data on phone prices, ratings, and sales trends for analysis
🚀 This dataset provides comprehensive real-time information on 340 phone products from Amazon, collected using the "Real-Time Amazon Data" API. The data covers various attributes such as product titles, prices, ratings, availability, and sales volume, offering a valuable resource for e-commerce analysis, machine learning projects, and consumer behavior studies focused on mobile phones.
🎲 From: Kaggle
🤖 Size: 30.4 kB
🔄 https://t.me/datasets1
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Cat Dataset 😻
Over 9,000 images of cats with annotated facial features
Context:
The CAT dataset includes over 9,000 cat images. For each image, there are annotations of the head of cat with nine points, two for eyes, one for mouth, and six for ears.
🎲 From: Kaggle
🤖 Size: 4.04 GB
🔃 https://t.me/datasets1
Over 9,000 images of cats with annotated facial features
Context:
The CAT dataset includes over 9,000 cat images. For each image, there are annotations of the head of cat with nine points, two for eyes, one for mouth, and six for ears.
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@codeprogrammer Helpful Cheat Sheets Compilation.zip
5.2 MB
Including Pandas, NumPy, Matplotlib, Seaborn, and others
Is it useful to you
http://t.me/codeprogrammer
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Forwarded from Machine Learning with Python
LOOKING FOR A NEW SOURCE OF INCOME?
Average earnings from 100$ a day
Lisa is looking for people who want to earn money. If you are responsible, motivated and want to change your life. Welcome to her channel.
WHAT YOU NEED TO WORK:
1. phone or computer
2. Free 15-20 minutes a day
3. desire to earn
❗️ Requires 20 people ❗️
Access is available at the link below
👇
https://t.me/+NhwYZAXFlT8yZDIx
Average earnings from 100$ a day
Lisa is looking for people who want to earn money. If you are responsible, motivated and want to change your life. Welcome to her channel.
WHAT YOU NEED TO WORK:
1. phone or computer
2. Free 15-20 minutes a day
3. desire to earn
❗️ Requires 20 people ❗️
Access is available at the link below
👇
https://t.me/+NhwYZAXFlT8yZDIx
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Daily_Dose_Of_Data_Science_Full_Archive.pdf
88.3 MB
Here’s the 2024 edition of the Daily Dose of Data Science archive.
Is it useful to you❓ , Like 👍
📂 Tags: #DataScience #Python #ML
http://t.me/codeprogrammer⭐️
Is it useful to you
http://t.me/codeprogrammer
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Data set containing bitcoin transactions graph metadata (2011-2013)
https://t.me/datasets1
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Medical Deepfakes: Lung Cancer.
CT scans tampered with cancer added or removed. Can you find them?
The dataset consists 100 CT scans of two sets (80 scans and 20 scans). The first 80 were used in a blind trial with the radiologists (they weren't told they were tampered), and the 20 scans were used in an open trial with the radiologists (they were told the truth and asked to identify them).
For each experiment there is a csv table containing the ground truth. Each row in the csv indicates where a real, fake, or removed cancer is located (x, y, and z [slice#]) and its classification. There are four classes:
Class Acronym Description
True-Benign TB: A location that actually has no cancer
True-Malicious TM: A location that has real cancer
False-Benign FB: A location that has real cancer, but it was removed.
False-Malicious FM: A location that does not have cancer, but fake cancer was injected there.
CT scans tampered with cancer added or removed. Can you find them?
The dataset consists 100 CT scans of two sets (80 scans and 20 scans). The first 80 were used in a blind trial with the radiologists (they weren't told they were tampered), and the 20 scans were used in an open trial with the radiologists (they were told the truth and asked to identify them).
For each experiment there is a csv table containing the ground truth. Each row in the csv indicates where a real, fake, or removed cancer is located (x, y, and z [slice#]) and its classification. There are four classes:
Class Acronym Description
True-Benign TB: A location that actually has no cancer
True-Malicious TM: A location that has real cancer
False-Benign FB: A location that has real cancer, but it was removed.
False-Malicious FM: A location that does not have cancer, but fake cancer was injected there.
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BraTS2020 Dataset (Training + Validation)
Brain Tumor Segmentation 2020 Dataset
Size: 42 GB
https://t.me/datasets1🌑
Brain Tumor Segmentation 2020 Dataset
Size: 42 GB
https://t.me/datasets1
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