#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