Dataset Name: FIFA23 OFFICIAL DATASET
Basic Denoscription: From FIFA17 to FIFA23 statistics for each football player

📖 FULL DATASET DESCRIPTION:

The dataset contains +17k unique players and more than 60 columns, general information and all KPIs the famous videogame offers. As the esport scene keeps rising espacially on FIFA, I thought it can be useful for the community (kagglers and/or gamers)

📥 DATASET DOWNLOAD INFORMATION


🔴 Dataset Size: Download dataset as zip (14 MB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/bryanb/fifa-player-stats-database

📊 Additional information:

File count not found
Views: 107,000
Downloads: 66,500

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💻 ++101 Linux commands Open-source eBook

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با عرض سلام برای مقاله زیر نیاز به نفرات ۲ و ۳ داریم.

KG-Psy: A Knowledge-Graph and GPT-5 Based Framework for Personalized Clinical Decision Support in Bipolar Disorder and Borderline Personality Disorder
 
Abstract: Accurate diagnosis and personalized treatment planning for complex psychiatric disorders such as Bipolar Disorder (BD) and Borderline Personality Disorder (BPD) remain major challenges due to overlapping symptoms, fluctuating mood patterns, and heterogeneous clinical presentations. To address these challenges, we introduce KG-Psy, a hybrid neuro-symbolic framework that combines a domain-specific psychiatric Knowledge Graph (KG) with the advanced reasoning capabilities of GPT-5.
KG-Psy constructs multi-layer psychiatric knowledge graphs encoding symptom trajectories, neural correlates, pharmacological mechanisms, therapeutic guidelines, comorbidities, and behavioral patterns extracted from large-scale clinical literature. GPT-5 is employed to extract clinical entities, infer latent symptom-neural relationships, assess diagnostic likelihoods, and generate patient-specific treatment recommendations. The integration of structured KG reasoning with LLM-based inference allows KG-Psy to produce interpretable, evidence-supported, and clinically actionable outputs.
We evaluated KG-Psy on 310 de-identified psychiatric case reports and 12 expert-validated benchmark scenarios. The framework achieved 91.5% F1-score in distinguishing BD from BPD and an average pathway confidence of 86.9%, indicating robust multi-step inference. In personalized treatment recommendation tasks, KG-Psy achieved 88.7% accuracy, outperforming LLM-only and KG-only baselines by 23% and 31%, respectively.
....
 
Keywords: Bipolar Disorder, Borderline Personality Disorder, Knowledge Graph, GPT-5, Personalized Treatment
 2 :20 milion
3 :15 milion
@Raminmousa
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Dataset Name: Real Life Violence Situations Dataset
Basic Denoscription: 1000 videos containing real street fight and 1000 video from other classes



🔴 Dataset Size: Download dataset as zip (4 GB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/mohamedmustafa/real-life-violence-situations-dataset


1. Real Time Violence Detection | MobileNet Bi-LSTM | Upvotes: 424
URL: https://www.kaggle.com/code/abduulrahmankhalid/real-time-violence-detection-mobilenet-bi-lstm

2. Real life violence detection using InceptionV3 | Upvotes: 395
URL: https://www.kaggle.com/code/nandinibagga/real-life-violence-detection-using-inceptionv3

3. Real Life Violence Detection / KERAS-TENSORFLOW | Upvotes: 115
URL: https://www.kaggle.com/code/brsdincer/real-life-violence-detection-keras-tensorflow

4. Video Fights Dataset | Upvotes: 24
URL: https://www.kaggle.com/datasets/shreyj1729/cctv-fights-dataset


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🔹 Title: Forecasting Probability Distributions of Financial Returns with Deep Neural Networks

🔹 Publication Date: Published on Aug 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.18921
• PDF: https://arxiv.org/pdf/2508.18921
• Github: https://github.com/jmichankow/deep_learning_probability

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Dataset Name: Linked In Job Postings (2023 - 2024)
Basic Denoscription: LinkedIn Job Postings (2023 - 2024)

📖 FULL DATASET DESCRIPTION:

Scraper Code - https://github.com/ArshKA/LinkedIn-Job-Scraper
Every day, thousands of companies and individuals turn to LinkedIn in search of talent. This dataset contains a nearly comprehensive record of 124,000+ job postings listed in 2023 and 2024. .

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/arshkon/linkedin-job-postings

📊 Additional information:

File count not found
Views: 126,000
Downloads: 53,100

📚 RELATED NOTEBOOKS:

1. "Decoding the Job Market: An In-depth Exploration | Upvotes: 84
URL: https://www.kaggle.com/code/pratul007/decoding-the-job-market-an-in-depth-exploration

2. LinkedIn Job Postings 2023 Data Analysis | Upvotes: 58
URL: https://www.kaggle.com/code/enricofindley/linkedin-job-postings-2023-data-analysis

@Machine_learn

Dataset Name: Online Payments Fraud Detection Dataset
Basic Denoscription: Online payment fraud big dataset for testing and practice purpose

📖 FULL DATASET DESCRIPTION:

The below column reference:

📥 DATASET DOWNLOAD INFORMATION


🔴 Dataset Size: Download dataset as zip (186 MB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/rupakroy/online-payments-fraud-detection-dataset

@Machine_learn

Sharing State Between Prompts and Programs

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@Machine_learn

🔹 Title: Select to Know: An Internal-External Knowledge Self-Selection Framework for Domain-Specific Question Answering

🔹 Publication Date: Published on Aug 21

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.15213
• PDF: https://arxiv.org/pdf/2508.15213

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Title: Fundamental Challenges of Neural Network in Handling Sequential Feature of Time Series: Np-hard Challenge

Journal: IEEE transaction on soft computing

Author : 2
Price: 1200 USDT

@Raminmousa
@Machine_learn
@Paper4money

با عرض سلام ما برای این مقاله نیاز به نفر دوم داریم و تنها مقاله دو نفر جایگاه داره. دوستانی که نیاز دارن می تونن به پی وی بنده پیام بدن
@Raminmousa