Free Datasets to practice data science projects
1. Enron Email Dataset
Data Link: https://www.cs.cmu.edu/~enron/
2. Chatbot Intents Dataset
Data Link: https://github.com/katanaml/katana-assistant/blob/master/mlbackend/intents.json
3. Flickr 30k Dataset
Data Link: https://www.kaggle.com/hsankesara/flickr-image-dataset
4. Parkinson Dataset
Data Link: https://archive.ics.uci.edu/ml/datasets/parkinsons
5. Iris Dataset
Data Link: https://archive.ics.uci.edu/ml/datasets/Iris
6. ImageNet dataset
Data Link: http://www.image-net.org/
7. Mall Customers Dataset
Data Link: https://www.kaggle.com/shwetabh123/mall-customers
8. Google Trends Data Portal
Data Link: https://trends.google.com/trends/
9. The Boston Housing Dataset
Data Link: https://www.cs.toronto.edu/~delve/data/boston/bostonDetail.html
10. Uber Pickups Dataset
Data Link: https://www.kaggle.com/fivethirtyeight/uber-pickups-in-new-york-city
11. Recommender Systems Dataset
Data Link: https://cseweb.ucsd.edu/~jmcauley/datasets.html
Source Code: https://bit.ly/37iBDEp
12. UCI Spambase Dataset
Data Link: https://archive.ics.uci.edu/ml/datasets/Spambase
13. GTSRB (German traffic sign recognition benchmark) Dataset
Data Link: http://benchmark.ini.rub.de/?section=gtsrb&subsection=dataset
Source Code: https://bit.ly/39taSyH
14. Cityscapes Dataset
Data Link: https://www.cityscapes-dataset.com/
15. Kinetics Dataset
Data Link: https://deepmind.com/research/open-source/kinetics
16. IMDB-Wiki dataset
Data Link: https://data.vision.ee.ethz.ch/cvl/rrothe/imdb-wiki/
17. Color Detection Dataset
Data Link: https://github.com/codebrainz/color-names/blob/master/output/colors.csv
18. Urban Sound 8K dataset
Data Link: https://urbansounddataset.weebly.com/urbansound8k.html
19. Librispeech Dataset
Data Link: http://www.openslr.org/12
20. Breast Histopathology Images Dataset
Data Link: https://www.kaggle.com/paultimothymooney/breast-histopathology-images
21. Youtube 8M Dataset
Data Link: https://research.google.com/youtube8m/
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1. Enron Email Dataset
Data Link: https://www.cs.cmu.edu/~enron/
2. Chatbot Intents Dataset
Data Link: https://github.com/katanaml/katana-assistant/blob/master/mlbackend/intents.json
3. Flickr 30k Dataset
Data Link: https://www.kaggle.com/hsankesara/flickr-image-dataset
4. Parkinson Dataset
Data Link: https://archive.ics.uci.edu/ml/datasets/parkinsons
5. Iris Dataset
Data Link: https://archive.ics.uci.edu/ml/datasets/Iris
6. ImageNet dataset
Data Link: http://www.image-net.org/
7. Mall Customers Dataset
Data Link: https://www.kaggle.com/shwetabh123/mall-customers
8. Google Trends Data Portal
Data Link: https://trends.google.com/trends/
9. The Boston Housing Dataset
Data Link: https://www.cs.toronto.edu/~delve/data/boston/bostonDetail.html
10. Uber Pickups Dataset
Data Link: https://www.kaggle.com/fivethirtyeight/uber-pickups-in-new-york-city
11. Recommender Systems Dataset
Data Link: https://cseweb.ucsd.edu/~jmcauley/datasets.html
Source Code: https://bit.ly/37iBDEp
12. UCI Spambase Dataset
Data Link: https://archive.ics.uci.edu/ml/datasets/Spambase
13. GTSRB (German traffic sign recognition benchmark) Dataset
Data Link: http://benchmark.ini.rub.de/?section=gtsrb&subsection=dataset
Source Code: https://bit.ly/39taSyH
14. Cityscapes Dataset
Data Link: https://www.cityscapes-dataset.com/
15. Kinetics Dataset
Data Link: https://deepmind.com/research/open-source/kinetics
16. IMDB-Wiki dataset
Data Link: https://data.vision.ee.ethz.ch/cvl/rrothe/imdb-wiki/
17. Color Detection Dataset
Data Link: https://github.com/codebrainz/color-names/blob/master/output/colors.csv
18. Urban Sound 8K dataset
Data Link: https://urbansounddataset.weebly.com/urbansound8k.html
19. Librispeech Dataset
Data Link: http://www.openslr.org/12
20. Breast Histopathology Images Dataset
Data Link: https://www.kaggle.com/paultimothymooney/breast-histopathology-images
21. Youtube 8M Dataset
Data Link: https://research.google.com/youtube8m/
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Computers are getting better than humans in classifying objects 😳💯
With Computer Vision will AI take over the planet Earth? 🤷🏻♂️😨
Here is a pack of 5 resources about the upcoming field - Computer Vision
What is Computer Vision?
https://data-flair.training/blogs/ai-python-computer-vision/
Computer Vision Projects
https://data-flair.training/blogs/computer-vision-project-ideas/
Road Lane line detection – Computer Vision Project in Python
https://data-flair.training/blogs/road-lane-line-detection/
Real-time Human Detection & Counting – Computer Vision Project in Python
https://data-flair.training/blogs/python-project-real-time-human-detection-counting/
Driver Drowsiness Detection – Computer Vision Project in Python
https://data-flair.training/blogs/python-project-driver-drowsiness-detection-system/
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With Computer Vision will AI take over the planet Earth? 🤷🏻♂️😨
Here is a pack of 5 resources about the upcoming field - Computer Vision
What is Computer Vision?
https://data-flair.training/blogs/ai-python-computer-vision/
Computer Vision Projects
https://data-flair.training/blogs/computer-vision-project-ideas/
Road Lane line detection – Computer Vision Project in Python
https://data-flair.training/blogs/road-lane-line-detection/
Real-time Human Detection & Counting – Computer Vision Project in Python
https://data-flair.training/blogs/python-project-real-time-human-detection-counting/
Driver Drowsiness Detection – Computer Vision Project in Python
https://data-flair.training/blogs/python-project-driver-drowsiness-detection-system/
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Programming for everybody (getting started with python)
Free course from coursera:
https://www.coursera.org/learn/python
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Free course from coursera:
https://www.coursera.org/learn/python
⭐️ https://t.me/CodeProgrammer
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Forwarded from Eng. Hussein Sheikho 👨💻
This channels is for Programmers, Coders, Software Engineers.
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0- Python
1- Data Science
2- Machine Learning
3- Data Visualization
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5- Data Analysis
6- Statistics
7- Deep Learning
8- programming Languages
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🖥 Harvard's popular CS50 series has an intro to Python course taught by David J. Malan himself.
Harvard's popular CS50 course series includes an Introduction to Python course taught by David Jay Malan himself.
The course covers Python fundamentals such as loops and conditions, and writing and using APIs.
Along the way, you'll build an application using frameworks such as Django and React.
Course: https://cs50.harvard.edu/python/2022/
Videos: https://www.youtube.com/watch?v=nLRL_NcnK-4
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Harvard's popular CS50 course series includes an Introduction to Python course taught by David Jay Malan himself.
The course covers Python fundamentals such as loops and conditions, and writing and using APIs.
Along the way, you'll build an application using frameworks such as Django and React.
Course: https://cs50.harvard.edu/python/2022/
Videos: https://www.youtube.com/watch?v=nLRL_NcnK-4
👌 https://t.me/CodeProgrammer
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CS25: Transformers United V3
New lectures on the course on Transformers from Stanford! Stanford CS 25 " Transformers United " featured celebrity guests such as Andriy Karpaty, Noam Brown, Lukas Beyer and Geoff Hinton himself!
A new report has been released on the creation and recipes for creating universal AI agents in open worlds:
🟢 MineDojo : an open framework and multimodal database for training Minecraft agents.
🟢 Voyager : agent for lifelong learning in Minecraft based on LLM.
🟢 Eureka: GPT-4 develops reward functions to teach a robot hand to turn a knob.
🟢 VIMA : one of the earliest multimodal LLMs.
🟢A look into the future: promising areas of research.
☑️ Slides : https://drive.google.com/file/d/1lWIhijUaTZkkWOC_YwZHMoI0h7EAWVPL/view
📑 Lectures : https://web.stanford.edu/class/cs25
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New lectures on the course on Transformers from Stanford! Stanford CS 25 " Transformers United " featured celebrity guests such as Andriy Karpaty, Noam Brown, Lukas Beyer and Geoff Hinton himself!
A new report has been released on the creation and recipes for creating universal AI agents in open worlds:
🟢 MineDojo : an open framework and multimodal database for training Minecraft agents.
🟢 Voyager : agent for lifelong learning in Minecraft based on LLM.
🟢 Eureka: GPT-4 develops reward functions to teach a robot hand to turn a knob.
🟢 VIMA : one of the earliest multimodal LLMs.
🟢A look into the future: promising areas of research.
☑️ Slides : https://drive.google.com/file/d/1lWIhijUaTZkkWOC_YwZHMoI0h7EAWVPL/view
📑 Lectures : https://web.stanford.edu/class/cs25
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💸💸Log in every day to receive 0.3USDT💸💸
🔴🟢 Directly participate in the investment in the "Mobil" oil project:
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👉 Awesome Computer Vision
Awesome Books, Courses, Papers, Software, Datasets, Pre-trained Computer Vision Models, Tutorials, Talks, Blogs, Links and Songs related to Computer Vision.
🔗 GitHub: https://github.com/jbhuang0604/awesome-computer-vision
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Awesome Books, Courses, Papers, Software, Datasets, Pre-trained Computer Vision Models, Tutorials, Talks, Blogs, Links and Songs related to Computer Vision.
🔗 GitHub: https://github.com/jbhuang0604/awesome-computer-vision
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👉 Pytorch
This repository has a collection of best tutorials, projects, libraries, videos, papers, books and anything related to the incredible PyTorch.
🔗 GitHub: https://github.com/ritchieng/the-incredible-pytorch
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This repository has a collection of best tutorials, projects, libraries, videos, papers, books and anything related to the incredible PyTorch.
🔗 GitHub: https://github.com/ritchieng/the-incredible-pytorch
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🖥 Python code to find info about Chemical Formula
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👉 AI Expert Roadmap
This ultimate repository for AI contains roadmaps for:
🔹 Artificial Intelligence
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🔹 Deep Learning
🔹 Data Engineer
🔹 Big Data
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Link: https://github.com/AMAI-GmbH/AI-Expert-Roadmap
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This ultimate repository for AI contains roadmaps for:
🔹 Artificial Intelligence
🔹 Machine Learning
🔹 Deep Learning
🔹 Data Engineer
🔹 Big Data
🔹 Data Science
Link: https://github.com/AMAI-GmbH/AI-Expert-Roadmap
👌 https://t.me/CodeProgrammer
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