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π° Machine Learning with Python
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
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π Machine Learning
Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.
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π§ Code With Python
This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA β perfect for learning, coding, and mastering key programming skills.
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π― PyData Careers | Quiz
Python Data Science jobs, interview tips, and career insights for aspiring professionals.
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Your go-to hub for Kaggle datasets β explore, analyze, and leverage data for Machine Learning and Data Science projects.
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Advancing research in Machine Learning β practical insights, tools, and techniques for researchers.
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An active community group for discussing data challenges and networking with peers.
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The largest Arabic-speaking group for Python developers to share knowledge and help.
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π Data Science Jupyter Notebooks
Explore the world of Data Science through Jupyter Notebooksβinsights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
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πΊ Free Online Courses | Videos
Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners.
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π Data Analytics
Dive into the world of Data Analytics β uncover insights, explore trends, and master data-driven decision making.
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Unlock your potential with this curated list of Telegram channels. Whether you need books, datasets, interview prep, or project ideas, we have the perfect resource for you. Join the community today!
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
https://t.me/CodeProgrammer
Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.
https://t.me/DataScienceM
This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA β perfect for learning, coding, and mastering key programming skills.
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Python Data Science jobs, interview tips, and career insights for aspiring professionals.
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https://t.me/datasets1
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The largest Arabic-speaking group for Python developers to share knowledge and help.
https://t.me/PythonArab
Explore the world of Data Science through Jupyter Notebooksβinsights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
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Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners.
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Dive into the world of Data Analytics β uncover insights, explore trends, and master data-driven decision making.
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β€1
π Hourly Energy Consumption
βΉοΈ About Dataset:
PJM Interconnection LLC (PJM) is a regional transmission organization (RTO) in the United States. It is part of the Eastern Interconnection grid operating an electric transmission system serving all or parts of Delaware, Illinois, Indiana, Kentucky, Maryland, Michigan, New Jersey, North Carolina, Oh...
π Statistics:
β πΎ Size: Size not specified
β π Files: 14
β β¬οΈ Downloads: 137
π§ Top Notebooks:
πΉ robikscube/time-series-forecasting-with-machine-learning-yt
πΉ robikscube/tutorial-time-series-forecasting-with-xgboost
πΉ robikscube/time-series-forecasting-with-prophet
βββββββββββββββββ
π€ Powered by @datasets1
βΉοΈ About Dataset:
PJM Interconnection LLC (PJM) is a regional transmission organization (RTO) in the United States. It is part of the Eastern Interconnection grid operating an electric transmission system serving all or parts of Delaware, Illinois, Indiana, Kentucky, Maryland, Michigan, New Jersey, North Carolina, Oh...
π Statistics:
β πΎ Size: Size not specified
β π Files: 14
β β¬οΈ Downloads: 137
π§ Top Notebooks:
πΉ robikscube/time-series-forecasting-with-machine-learning-yt
πΉ robikscube/tutorial-time-series-forecasting-with-xgboost
πΉ robikscube/time-series-forecasting-with-prophet
βββββββββββββββββ
π€ Powered by @datasets1
β€1
π Zomato Bangalore Restaurants
βΉοΈ About Dataset:
The basic idea of analyzing the Zomato dataset is to get a fair idea about the factors affecting the establishment of different types of restaurant at different places in Bengaluru, aggregate rating of each restaurant, Bengaluru being one such city has more than 12,000 restaurants with restaurants s...
π Statistics:
β πΎ Size: Size not specified
β π Files: 1
β β¬οΈ Downloads: 169
π§ Top Notebooks:
πΉ shahules/zomato-complete-eda-and-lstm-model
πΉ akshitmadan/zomato-data-set-analysis-visualization
πΉ thiagopanini/predicting-the-success-of-a-restaurant
βββββββββββββββββ
π€ Powered by @datasets1
βΉοΈ About Dataset:
The basic idea of analyzing the Zomato dataset is to get a fair idea about the factors affecting the establishment of different types of restaurant at different places in Bengaluru, aggregate rating of each restaurant, Bengaluru being one such city has more than 12,000 restaurants with restaurants s...
π Statistics:
β πΎ Size: Size not specified
β π Files: 1
β β¬οΈ Downloads: 169
π§ Top Notebooks:
πΉ shahules/zomato-complete-eda-and-lstm-model
πΉ akshitmadan/zomato-data-set-analysis-visualization
πΉ thiagopanini/predicting-the-success-of-a-restaurant
βββββββββββββββββ
π€ Powered by @datasets1
β€1
π Telcom Customer Churn Dataset
βΉοΈ About Dataset:
Customer churn is a major issue in telecommunications, where retaining customers is significantly more cost-effective than acquiring new ones. This dataset contains customer-level details including demographics, services subscribed, billing information, and whether the customer churned. This dataset...
π Statistics:
β πΎ Size: Size not specified
β π Files: 1
β β¬οΈ Downloads: 78
π§ Top Notebooks:
πΉ mosapabdelghany/telco-customer-churn-prediction
πΉ thesnak/telecom-customer-churn-prediction
πΉ thesnak/churn-classification
βββββββββββββββββ
π€ Powered by @datasets1
βΉοΈ About Dataset:
Customer churn is a major issue in telecommunications, where retaining customers is significantly more cost-effective than acquiring new ones. This dataset contains customer-level details including demographics, services subscribed, billing information, and whether the customer churned. This dataset...
π Statistics:
β πΎ Size: Size not specified
β π Files: 1
β β¬οΈ Downloads: 78
π§ Top Notebooks:
πΉ mosapabdelghany/telco-customer-churn-prediction
πΉ thesnak/telecom-customer-churn-prediction
πΉ thesnak/churn-classification
βββββββββββββββββ
π€ Powered by @datasets1
β€3
Code Stars alerts you to GitHub repos gaining stars rapidly. Study programming easy way and stay ahead of the curve and discover trending projects before they go viral! #AI #GitHub #OpenSource #Tech #DataScience #Python #Programming #Java #Javascript #React #Docker #Devops
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π Rain in Australia
βΉοΈ About Dataset:
The observations were gathered from a multitude of weather stations. You can access daily observations from http://www.bom.gov.au/climate/data. For example, you can check the latest weather observations in Canberra here: Canberra Weather. Ever wondered if you should carry an umbrella tomorrow? With ...
π Statistics:
β πΎ Size: Size not specified
β π Files: 1
β β¬οΈ Downloads: 11,300
π§ Top Notebooks:
πΉ prashant111/logistic-regression-classifier-tutorial
πΉ karnikakapoor/rain-prediction-ann
πΉ prashant111/extensive-analysis-eda-fe-modelling
βββββββββββββββββ
π€ Powered by @datasets1
βΉοΈ About Dataset:
The observations were gathered from a multitude of weather stations. You can access daily observations from http://www.bom.gov.au/climate/data. For example, you can check the latest weather observations in Canberra here: Canberra Weather. Ever wondered if you should carry an umbrella tomorrow? With ...
π Statistics:
β πΎ Size: Size not specified
β π Files: 1
β β¬οΈ Downloads: 11,300
π§ Top Notebooks:
πΉ prashant111/logistic-regression-classifier-tutorial
πΉ karnikakapoor/rain-prediction-ann
πΉ prashant111/extensive-analysis-eda-fe-modelling
βββββββββββββββββ
π€ Powered by @datasets1
β€1
π GTZAN Dataset - Music Genre Classification
βΉοΈ About Dataset:
Music. Experts have been trying for a long time to understand sound and what differenciates one song from another. How to visualize sound. What makes a tone different from another. This data hopefully can give the opportunity to do just that.
π Statistics:
β πΎ Size: 1.11 MB
β π Files: 2,001
β β¬οΈ Downloads: 384
π§ Top Notebooks:
πΉ andradaolteanu/work-w-audio-data-visualise-classify-recommend
πΉ basu369victor/generate-music-with-variational-autoencoder
πΉ dapy15/music-genre-classification
βββββββββββββββββ
π€ Powered by @datasets1
βΉοΈ About Dataset:
Music. Experts have been trying for a long time to understand sound and what differenciates one song from another. How to visualize sound. What makes a tone different from another. This data hopefully can give the opportunity to do just that.
π Statistics:
β πΎ Size: 1.11 MB
β π Files: 2,001
β β¬οΈ Downloads: 384
π§ Top Notebooks:
πΉ andradaolteanu/work-w-audio-data-visualise-classify-recommend
πΉ basu369victor/generate-music-with-variational-autoencoder
πΉ dapy15/music-genre-classification
βββββββββββββββββ
π€ Powered by @datasets1
β€1
π Brain MRI segmentation
βΉοΈ About Dataset:
This dataset contains brain MR images together with manual FLAIR abnormality segmentation masks. The images were obtained from The Cancer Imaging Archive (TCIA). They correspond to 110 patients included in The Cancer Genome Atlas (TCGA) lower-grade glioma collection with at least fluid-attenuated in...
π Statistics:
β πΎ Size: 1.06 GB
β π Files: 46
β β¬οΈ Downloads: 391
π§ Top Notebooks:
πΉ bonhart/brain-mri-data-visualization-unet-fpn
πΉ abdallahwagih/brain-tumor-segmentation-unet-dice-coef-89-6
πΉ mateuszbuda/brain-segmentation-pytorch
βββββββββββββββββ
π€ Powered by @datasets1
βΉοΈ About Dataset:
This dataset contains brain MR images together with manual FLAIR abnormality segmentation masks. The images were obtained from The Cancer Imaging Archive (TCIA). They correspond to 110 patients included in The Cancer Genome Atlas (TCGA) lower-grade glioma collection with at least fluid-attenuated in...
π Statistics:
β πΎ Size: 1.06 GB
β π Files: 46
β β¬οΈ Downloads: 391
π§ Top Notebooks:
πΉ bonhart/brain-mri-data-visualization-unet-fpn
πΉ abdallahwagih/brain-tumor-segmentation-unet-dice-coef-89-6
πΉ mateuszbuda/brain-segmentation-pytorch
βββββββββββββββββ
π€ Powered by @datasets1
β€1
π Bengaluru House Price Dataset
βΉοΈ About Dataset:
The Bengaluru House Price Dataset contains detailed information on residential properties in Bengaluru, India. It includes features such as location, size (in square feet), number of bedrooms (BHK), number of bathrooms, total area, price, and additional attributes like availability and property type...
π Statistics:
β πΎ Size: Size not specified
β π Files: 1
β β¬οΈ Downloads: 465
π§ Top Notebooks:
πΉ aneevinay/house-price-prediction-bengaluru
πΉ sumanbera19/decode-house-price-in-bengaluru
πΉ sumedh1507/bengaluru-house-price-prediction
βββββββββββββββββ
π€ Powered by @datasets1
βΉοΈ About Dataset:
The Bengaluru House Price Dataset contains detailed information on residential properties in Bengaluru, India. It includes features such as location, size (in square feet), number of bedrooms (BHK), number of bathrooms, total area, price, and additional attributes like availability and property type...
π Statistics:
β πΎ Size: Size not specified
β π Files: 1
β β¬οΈ Downloads: 465
π§ Top Notebooks:
πΉ aneevinay/house-price-prediction-bengaluru
πΉ sumanbera19/decode-house-price-in-bengaluru
πΉ sumedh1507/bengaluru-house-price-prediction
βββββββββββββββββ
π€ Powered by @datasets1
β€2
π COVID-19 Radiography Database
βΉοΈ About Dataset:
A team of researchers from Qatar University, Doha, Qatar, and the University of Dhaka, Bangladesh along with their collaborators from Pakistan and Malaysia in collaboration with medical doctors have created a database of chest X-ray images for COVID-19 positive cases along with Normal and Viral Pneu...
π Statistics:
β πΎ Size: Size not specified
β π Files: 42,300
β β¬οΈ Downloads: 479
π§ Top Notebooks:
πΉ arunrk7/covid-19-detection-pytorch-tutorial
πΉ sana306/detection-of-covid-positive-cases-using-dl
πΉ ahmedtronic/covid-19-radiology-vgg19-f1-score-95
βββββββββββββββββ
π€ Powered by @datasets1
βΉοΈ About Dataset:
A team of researchers from Qatar University, Doha, Qatar, and the University of Dhaka, Bangladesh along with their collaborators from Pakistan and Malaysia in collaboration with medical doctors have created a database of chest X-ray images for COVID-19 positive cases along with Normal and Viral Pneu...
π Statistics:
β πΎ Size: Size not specified
β π Files: 42,300
β β¬οΈ Downloads: 479
π§ Top Notebooks:
πΉ arunrk7/covid-19-detection-pytorch-tutorial
πΉ sana306/detection-of-covid-positive-cases-using-dl
πΉ ahmedtronic/covid-19-radiology-vgg19-f1-score-95
βββββββββββββββββ
π€ Powered by @datasets1
β€1
π Kaggle: Your Home for Data Science
π Statistics:
β πΎ Size: Size not specified
β β¬οΈ Downloads: N/A
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π€ Powered by @datasets1
π Statistics:
β πΎ Size: Size not specified
β β¬οΈ Downloads: N/A
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π€ Powered by @datasets1
π Exoplanet Classification Dataset
βΉοΈ About Dataset:
This dataset unifies three major NASA Exoplanet Archive catalogs β KOI, K2, and TOI β into a single machine-learningβready dataset for exoplanet classification. It harmonizes feature names, fills missing data, and projects all missions into a common PCA feature space. The goal is to provide a consis...
π Statistics:
β πΎ Size: Size not specified
β π Files: 1
β β¬οΈ Downloads: 501
π§ Top Notebooks:
πΉ devraai/exoplanet-data-analysis-and-logistic-regression
πΉ datatalesbyagos/exploring-exoplanet-candidates-from-k2-koi-toi
πΉ sakeeff/exoplanet-detection
βββββββββββββββββ
π€ Powered by @datasets1
βΉοΈ About Dataset:
This dataset unifies three major NASA Exoplanet Archive catalogs β KOI, K2, and TOI β into a single machine-learningβready dataset for exoplanet classification. It harmonizes feature names, fills missing data, and projects all missions into a common PCA feature space. The goal is to provide a consis...
π Statistics:
β πΎ Size: Size not specified
β π Files: 1
β β¬οΈ Downloads: 501
π§ Top Notebooks:
πΉ devraai/exoplanet-data-analysis-and-logistic-regression
πΉ datatalesbyagos/exploring-exoplanet-candidates-from-k2-koi-toi
πΉ sakeeff/exoplanet-detection
βββββββββββββββββ
π€ Powered by @datasets1
π Electric Car Performance and Battery Dataset
βΉοΈ About Dataset:
Brand: Name of the company manufacturing the electric vehicle. Model: Specific name or version of the car. Top Speed (km/h): Maximum speed of the car which it can achieve. Battery Capacity (kWh): Total energy storage of the battery. Battery Type: Technology used in the battery. Number of Cells: Tota...
π Statistics:
β πΎ Size: Size not specified
β π Files: 1
β β¬οΈ Downloads: 973
π§ Top Notebooks:
πΉ devraai/ev-performance-and-battery-data-analysis
πΉ alexkhr/electric-car-performance-clustering-analysis
πΉ afnansaifafnan/electric-vehicles
βββββββββββββββββ
π€ Powered by @datasets1
βΉοΈ About Dataset:
Brand: Name of the company manufacturing the electric vehicle. Model: Specific name or version of the car. Top Speed (km/h): Maximum speed of the car which it can achieve. Battery Capacity (kWh): Total energy storage of the battery. Battery Type: Technology used in the battery. Number of Cells: Tota...
π Statistics:
β πΎ Size: Size not specified
β π Files: 1
β β¬οΈ Downloads: 973
π§ Top Notebooks:
πΉ devraai/ev-performance-and-battery-data-analysis
πΉ alexkhr/electric-car-performance-clustering-analysis
πΉ afnansaifafnan/electric-vehicles
βββββββββββββββββ
π€ Powered by @datasets1
β€1
π Air Quality Data in India (2015 - 2020)
βΉοΈ About Dataset:
Ahmedabad, Aizawl, Amaravati, Amritsar, Bengaluru, Bhopal, Brajrajnagar, Chandigarh, Chennai, Coimbatore, Delhi, Ernakulam, Gurugram, Guwahati, Hyderabad, Jaipur, Jorapokhar, Kochi, Kolkata, Lucknow, Mumbai, Patna, Shillong, Talcher, Thiruvananthapuram, Visakhapatnam The data has been made publicly ...
π Statistics:
β πΎ Size: Size not specified
β π Files: 5
β β¬οΈ Downloads: 999
π§ Top Notebooks:
πΉ parulpandey/a-guide-to-handling-missing-values-in-python
πΉ parulpandey/breathe-india-covid-19-effect-on-pollution
πΉ rohanrao/calculating-aqi-air-quality-index-tutorial
βββββββββββββββββ
π€ Powered by @datasets1
βΉοΈ About Dataset:
Ahmedabad, Aizawl, Amaravati, Amritsar, Bengaluru, Bhopal, Brajrajnagar, Chandigarh, Chennai, Coimbatore, Delhi, Ernakulam, Gurugram, Guwahati, Hyderabad, Jaipur, Jorapokhar, Kochi, Kolkata, Lucknow, Mumbai, Patna, Shillong, Talcher, Thiruvananthapuram, Visakhapatnam The data has been made publicly ...
π Statistics:
β πΎ Size: Size not specified
β π Files: 5
β β¬οΈ Downloads: 999
π§ Top Notebooks:
πΉ parulpandey/a-guide-to-handling-missing-values-in-python
πΉ parulpandey/breathe-india-covid-19-effect-on-pollution
πΉ rohanrao/calculating-aqi-air-quality-index-tutorial
βββββββββββββββββ
π€ Powered by @datasets1
π S&P 100 Stocks Index Companies Daily Updated
βΉοΈ About Dataset:
This dataset provides a comprehensive, consolidated collection of daily historical stock data for all companies included in the S&P 100 index. It is designed to be a clean and reliable resource for financial analysis, machine learning, and academic research. Complete historical dataset with OHLCV da...
π Statistics:
β πΎ Size: 130 MB Β· 6,417 downloads
β π Files: 1
β β¬οΈ Downloads: 417
π§ Top Notebooks:
πΉ naraabihashemi/nooshin-hashemi-google-capstone-project-nov-25
πΉ naraabihashemi/nooshin-hashemi-google-capstone-project-nov-25
πΉ naraabihashemi/nooshin-hashemi-google-capstone-project-nov-25
βββββββββββββββββ
π€ Powered by @datasets1
βΉοΈ About Dataset:
This dataset provides a comprehensive, consolidated collection of daily historical stock data for all companies included in the S&P 100 index. It is designed to be a clean and reliable resource for financial analysis, machine learning, and academic research. Complete historical dataset with OHLCV da...
π Statistics:
β πΎ Size: 130 MB Β· 6,417 downloads
β π Files: 1
β β¬οΈ Downloads: 417
π§ Top Notebooks:
πΉ naraabihashemi/nooshin-hashemi-google-capstone-project-nov-25
πΉ naraabihashemi/nooshin-hashemi-google-capstone-project-nov-25
πΉ naraabihashemi/nooshin-hashemi-google-capstone-project-nov-25
βββββββββββββββββ
π€ Powered by @datasets1
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π Medical Insurance Cost Prediction Dataset
βΉοΈ About Dataset:
Individuals' age, gender, BMI, smoking status, number of children, area, and medical insurance bills are among the details this dataset offers. It is frequently used to forecast medical expenses using data analysis and machine learning methods based on demographic and lifestyle characteristics. A si...
π Statistics:
β πΎ Size: Size not specified
β π Files: 1
β β¬οΈ Downloads: 17,500
π§ Top Notebooks:
πΉ wardabilal/eda-medical-insurance-cost-analysis
πΉ hassangasem/medical-insurance-cost-prediction-analysis
πΉ harshkumar1711/medical-cost-prediction
βββββββββββββββββ
π€ Powered by @datasets1
βΉοΈ About Dataset:
Individuals' age, gender, BMI, smoking status, number of children, area, and medical insurance bills are among the details this dataset offers. It is frequently used to forecast medical expenses using data analysis and machine learning methods based on demographic and lifestyle characteristics. A si...
π Statistics:
β πΎ Size: Size not specified
β π Files: 1
β β¬οΈ Downloads: 17,500
π§ Top Notebooks:
πΉ wardabilal/eda-medical-insurance-cost-analysis
πΉ hassangasem/medical-insurance-cost-prediction-analysis
πΉ harshkumar1711/medical-cost-prediction
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π€ Powered by @datasets1
β€2
π Garbage Classification
βΉοΈ About Dataset:
The Garbage Classification Dataset contains 6 classifications: cardboard (393), glass (491), metal (400), paper(584), plastic (472) and trash(127). Example pictures for each category are shown below:
π Statistics:
β πΎ Size: 43.4 MB
β π Files: 2,532
β β¬οΈ Downloads: 42
π§ Top Notebooks:
πΉ aadhavvignesh/pytorch-garbage-classification-95-accuracy
πΉ kairess/garbage-classification
πΉ sanketmathur7/garbage-classification-cnn
βββββββββββββββββ
π€ Powered by @datasets1
βΉοΈ About Dataset:
The Garbage Classification Dataset contains 6 classifications: cardboard (393), glass (491), metal (400), paper(584), plastic (472) and trash(127). Example pictures for each category are shown below:
π Statistics:
β πΎ Size: 43.4 MB
β π Files: 2,532
β β¬οΈ Downloads: 42
π§ Top Notebooks:
πΉ aadhavvignesh/pytorch-garbage-classification-95-accuracy
πΉ kairess/garbage-classification
πΉ sanketmathur7/garbage-classification-cnn
βββββββββββββββββ
π€ Powered by @datasets1
β€1
π π¨π° πΌπππππππ π¬πππππππ
βΉοΈ About Dataset:
This dataset is provided in CSV format and contains around 520 rows and 22 columns. Each row represents an AI tool, including details about its name, company, release year, category, API availability, open-source status, and supported features such as text, image, audio, video, and multimodal. Artif...
π Statistics:
β πΎ Size: Size not specified
β π Files: 1
β β¬οΈ Downloads: 28
π§ Top Notebooks:
πΉ eshummalik/ai-tools-landscape
πΉ devraai/generative-ai-tools-data-analysis-and-modeling
πΉ eshummalik/ai-tools-landscape
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βΉοΈ About Dataset:
This dataset is provided in CSV format and contains around 520 rows and 22 columns. Each row represents an AI tool, including details about its name, company, release year, category, API availability, open-source status, and supported features such as text, image, audio, video, and multimodal. Artif...
π Statistics:
β πΎ Size: Size not specified
β π Files: 1
β β¬οΈ Downloads: 28
π§ Top Notebooks:
πΉ eshummalik/ai-tools-landscape
πΉ devraai/generative-ai-tools-data-analysis-and-modeling
πΉ eshummalik/ai-tools-landscape
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π Auto-mpg dataset
βΉοΈ About Dataset:
Sources: (a) Origin: This dataset was taken from the StatLib library which is maintained at Carnegie Mellon University. The dataset was used in the 1983 American Statistical Association Exposition. (c) Date: July 7, 1993 The data is technical spec of cars. The dataset is downloaded from UCI Machine ...
π Statistics:
β πΎ Size: Size not specified
β π Files: 1
β β¬οΈ Downloads: 24
π§ Top Notebooks:
πΉ arunkumarramanan/data-science-python-fuel-efficiency-prediction
πΉ devanshbesain/exploration-and-analysis-auto-mpg
πΉ sercanyesiloz/plotly-tutorial
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π€ Powered by @datasets1
βΉοΈ About Dataset:
Sources: (a) Origin: This dataset was taken from the StatLib library which is maintained at Carnegie Mellon University. The dataset was used in the 1983 American Statistical Association Exposition. (c) Date: July 7, 1993 The data is technical spec of cars. The dataset is downloaded from UCI Machine ...
π Statistics:
β πΎ Size: Size not specified
β π Files: 1
β β¬οΈ Downloads: 24
π§ Top Notebooks:
πΉ arunkumarramanan/data-science-python-fuel-efficiency-prediction
πΉ devanshbesain/exploration-and-analysis-auto-mpg
πΉ sercanyesiloz/plotly-tutorial
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π€ Powered by @datasets1
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π EV Infra Dataset
βΉοΈ About Dataset:
The goal is to offer a single, consistent reference for analysis, visualization, forecasting, and research related to e-mobility, infrastructure planning, and EV adoption. This dataset brings together information on 242,417 electric vehicle (EV) charging sites in 121 countries along with a companion...
π Statistics:
β πΎ Size: Size not specified
β π Files: 6
β β¬οΈ Downloads: 51
π§ Top Notebooks:
πΉ tarekmasryo/ev-charging-stations-eda
πΉ mahmoudredagamail/global-ev-charging-stations
πΉ sumedh1507/charging-station-analysis
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π€ Powered by @datasets1
βΉοΈ About Dataset:
The goal is to offer a single, consistent reference for analysis, visualization, forecasting, and research related to e-mobility, infrastructure planning, and EV adoption. This dataset brings together information on 242,417 electric vehicle (EV) charging sites in 121 countries along with a companion...
π Statistics:
β πΎ Size: Size not specified
β π Files: 6
β β¬οΈ Downloads: 51
π§ Top Notebooks:
πΉ tarekmasryo/ev-charging-stations-eda
πΉ mahmoudredagamail/global-ev-charging-stations
πΉ sumedh1507/charging-station-analysis
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π€ Powered by @datasets1
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