#other #python #learning #lists #data_science #data #machine_learning #youtube #awesome #statistics #ai #deep_learning #math #ml #resources #artificial_intelligence #data_analysis #awesome_list #dataengineering

https://github.com/benthecoder/yt-channels-DS-AI-ML-CS

#jupyter_notebook #data_analysis #data_science #data_visualization #pandas #python

https://github.com/microsoft/Data-Science-For-Beginners

#typescript #ab_testing #abtest #abtesting #analytics #bigquery #clickhouse #continuous_delivery #data_analysis #data_engineering #data_science #experimentation #feature_flagging #feature_flags #mixpanel #redshift #remote_config #snowflake #split_testing #statistics

https://github.com/growthbook/growthbook

#python #data_analysis #data_drift #data_science #deep_learning #jupyter_notebook #machine_learning #machinelearning #ml #mlops #model_monitoring #monitoring #performance_monitoring #visualization

https://github.com/NannyML/nannyml

#python #data_analysis #differential_privacy #federated_learning #homomorphic_encryption #machine_learning #privacy_preserving #private_set_intersection #secure_multiparty_computation #split_learning #trusted_execution_environment

https://github.com/secretflow/secretflow

#other #data_analysis #data_engineering #data_science #data_visualization #deep_learning #machine_learning #mathematics #probability #python #sql #statistics

https://github.com/Moataz-Elmesmary/Data-Science-Roadmap

#jupyter_notebook #articles #artificial_intelligence #data_analysis #data_science #data_visualization #machine_learning #natural_language_processing #python #scraping #time_series

https://github.com/khuyentran1401/Data-science

#jupyter_notebook #data_analysis #data_science #data_science_tips #data_visualization #jupyter #jupyter_notebook #jupyter_tips #matplotlib #matplotlib_tips #numpy #pandas #pandas_tips #python #python_tips #sklearn

https://github.com/ChawlaAvi/Daily-Dose-of-Data-Science

#rust #apache_arrow #computer_vision #data_analysis #data_analytics #data_centric #data_format #data_science #dataops #deep_learning #duckdb #embeddings #machine_learning #mlops #python

https://github.com/eto-ai/lance

#typescript #augmented_analytics #automated_data_analysis #automated_visualization #autovis #causal_discovery #causal_inference #causality #data_analysis #data_exploration #data_visualization #datamining #eda #k6s #kanaries #machine_learning #tableau #tableau_alternative #visualization

https://github.com/Kanaries/Rath

#javascript #csv #csv_export #csv_import #csv_parser #csv_parsing #csv_reader #data_analysis #data_engineering #flatfile #mongo #mongodb #nextjs #open_source #saas #streaming

https://github.com/yobulkdev/yobulkdev

#java #data_analysis #data_science #data_wrangling #datacleaning #datacleansing #datajournalism #datamining #journalism #opendata #reconciliation #wikidata

https://github.com/OpenRefine/OpenRefine

#typescript #analytics #apache #apache_superset #asf #bi #business_analytics #business_intelligence #data_analysis #data_analytics #data_engineering #data_science #data_visualization #data_viz #flask #python #react #sql_editor #superset

Superset is a powerful business intelligence tool that helps you explore and visualize data easily. It offers a no-code interface for building charts, a robust SQL Editor for advanced queries, and support for nearly any SQL database or data engine. You can create beautiful visualizations, define custom dimensions and metrics quickly, and use a lightweight caching layer to reduce database load. Superset also provides extensible security roles and authentication options, an API for customization, and a cloud-native architecture designed for scale. This makes it easier to analyze and present your data in a user-friendly way, replacing or augmenting proprietary BI tools effectively.

https://github.com/apache/superset

#python #data_analysis #data_science #data_visualization #deep_learning #deploy #gradio #gradio_interface #hacktoberfest #interface #machine_learning #models #python #python_notebook #ui #ui_components

Gradio is a Python package that helps you quickly build and share web demos for your machine learning models or any Python function. You don't need to know JavaScript, CSS, or web hosting to use it. With just a few lines of Python code, you can create a demo and share it via a public link. Gradio offers various tools like the `Interface` class for simple demos, `ChatInterface` for chatbots, and `Blocks` for more complex custom applications. It also allows easy sharing of your demos with others by generating a public URL in seconds. This makes it easy to showcase your work without technical hassle.

https://github.com/gradio-app/gradio

#jupyter_notebook #data_analysis #data_science #data_visualization #pandas #python

This curriculum is designed to help beginners learn data science over 10 weeks with 20 detailed lessons. Each lesson includes pre- and post-lesson quizzes, step-by-step guides, knowledge checks, and assignments to ensure you retain the information. You'll learn about data ethics, statistics, working with different types of data, data visualization, and the entire data science lifecycle. The project-based approach helps you build practical skills while learning. Additionally, there are resources for students and teachers to make the learning process flexible and engaging. This curriculum is beneficial because it provides a structured and interactive way to gain hands-on experience in data science, making it easier to understand and apply these skills in real-world scenarios.

https://github.com/microsoft/Data-Science-For-Beginners

#java #bi #bigscreen #birt #data_analysis #data_visualization #dataease #datav #echart #echarts #finereport #highcharts #ireport #jasperreport #jfreechart #metabase #print #redash #report #superset #tableau

JimuReport is a free data visualization tool that helps you create reports, dashboards, and large screens easily online. Here’s what you need to know:

- It's free and supports complex reports with a user-friendly, drag-and-drop design interface similar to Excel.
- You can design various types of reports, including data reports, print designs, and graphical reports.
- It supports multiple data sources like MySQL, Oracle, and SQL Server, and offers 28 different types of charts.
- The tool is highly efficient, allowing you to design a report in just a minute.
- It also supports large screen designs with many components, similar to those used by big companies like Baidu and Alibaba.
- You can register with your phone number and start using it online for free.

This tool simplifies report development, reduces development time, and saves costs, making it a great choice for businesses needing professional yet easy-to-use reporting solutions.

https://github.com/jeecgboot/JimuReport

#java #apache_doris #business_intelligence #data_analysis #data_visualization #echarts #kettle #superset #tableau

DataEase is a free, open-source tool that helps you analyze data and see business trends easily. It connects to many types of data sources like databases and files, and you can create charts quickly by dragging and dropping. It's easy to use, even if you're not tech-savvy, and it has an AI feature that answers your data questions in natural language. You can also share your data safely with others. This tool is beneficial because it's simple, powerful, and free, making it accessible to everyone who needs to analyze data.

https://github.com/dataease/dataease

#c_lang #ai #big_data #c #cloudberry #data_analysis #data_warehouse #database #distributed_database #greenplum #mpp #olap #postgres #postgresql #sql

Apache Cloudberry is a powerful, open-source database designed for large-scale data processing and analytics. It is built by the creators of Greenplum Database and uses a newer PostgreSQL kernel, making it suitable for data warehouses and AI/ML workloads. You can easily try it out using a Docker-based sandbox or build it from source on Linux or macOS. The community is active, with many channels for support, discussions, and contributions. This means you can get help quickly, share ideas, and even contribute to the project yourself. It's licensed under the Apache License, Version 2.0, making it free to use and modify. Overall, Apache Cloudberry offers advanced database capabilities and a supportive community, which can greatly benefit users needing robust data management solutions.

https://github.com/apache/cloudberry

#clojure #analytics #bi #business_intelligence #businessintelligence #clojure #dashboard #data #data_analysis #data_visualization #database #metabase #mysql #postgres #postgresql #reporting #slack #sql_editor #visualization

Metabase is a simple, open-source tool that helps everyone in your company ask questions and learn from data without needing to know SQL. You can set it up in just five minutes and create interactive dashboards, define key metrics, and send data to Slack or email. It also allows you to set alerts for data changes and embed charts into your app. Metabase supports various databases and can be run almost anywhere. Using Metabase, you can make better decisions with your data easily and quickly, making it a valuable tool for your team.

https://github.com/metabase/metabase