🔔 Dataset Name: Satellite Images to predict poverty



⭐️ High-resolution satellite imagery is increasingly available at the global scale and contains an abundance of information about landscape features that could be correlated with economic activity. Unfortunately, such data are highly unstructured and thus challenging to extract meaningful insights from at scale, even with intensive manual analysis. Recent applications of deep learning techniques to large-scale image data sets have led to marked improvements in fundamental computer vision tasks such as object detection and classification, but these techniques are generally most effective in supervised learning
regimes where labelled training data are abundant.


🌸 This data set contains 3 zip folders having a total of 32823 images. Ethiopia, Malawi and Nigeria are the 3 countries. Each folder contains images of the respective countries.


🤌 From: Kaggle

🙌 Format: images

🤖 Size: 6 GB


🔵 https://t.me/datasets1

🔔 Dataset Name: Password Dataset


🌺Project Goal: Predict password strength (strong, medium, weak) based on data

🌺 Data Source: User registration data (passwords) from Facebook APIs


🌺Use Case: Determine the strength level of a password entered during user registration

🌺 Model Creation Process:

-Data preprocessing and analysis
-Application of natural language processing (NLP) and machine learning techniques

🤌 From: Kaggle

🙌 Format: SQL

🤖 Size: 1.9 MB

🔵 https://t.me/datasets1

🔔 Dataset Name: Password Dataset


🔵 https://t.me/datasets1

🔔 Dataset Name: LLM Prompt Recovery: Style Extraction with GPT3.5

🌺 Writing Style Extraction from Rewritten text with GPT3.5-OpenAI

🤌 From: Kaggle

🤖 Size: 2.8 MB

🔵 https://t.me/datasets1

🔔 Dataset Name: LLM Prompt Recovery: Style Extraction with GPT3.5

🔵 https://t.me/datasets1

🔔 Dataset Name: Zomato Delivery Operations Analytics Dataset

🔵 https://t.me/datasets1

👗 Dataset Name: Ethnic wear dataset

📢 Content: This dataset contains information related to ethnic wear, including customer data, customer purchase data, and details about ethnic wear products. The dataset is presented in JSON format and comprises three distinct files: customer data, customer purchase data, and ethnic wear data.


🌸 Exploring Customer Behavior and Product Trends in the Ethnic Wear Market



🤌 From: Kaggle


🤖 Size: 637 KB


🔵 https://t.me/datasets1

🔔 Dataset Name: Ethnic wear dataset


🔵 https://t.me/datasets1

🟢 Dataset Name: 2018-2019 Premier League


📢 This dataset consists of 10 files about the offense, defense, shooting, passing, and goalkeeping of each team in Premier League.
This information will be beneficial to learning about each team's performance.


💬 The team performace data about 2018-2019 Premier League



🤌 From: Kaggle


🤖 Size: 22.7 KB


🔵 https://t.me/datasets1