Effective Data Visualization
Mastering data visualization: from choosing plots to preprocessing datasets. Learn to effectively communicate data using Python libraries like seaborn, matplotlib, and plotly. Covers density estimation, dimensionality reduction, and interactive plotting.
The Python Data Visualization Landscape in 2020
Explore Python's data visualization libraries including Matplotlib, Plotly, Bokeh, and Altair. Learn about dashboarding solutions like Dash, Panel, and Voila, and understand their key features and recent developments.
Interactive Mapmaking with Python
Explore interactive mapmaking using Python and GeoDataframes. Learn to create visually appealing maps with libraries like Folium, Kepler.gl, and Plotly, and discover Geopatra for simplified geodata visualization.
Using Python to Predict Asset Price Reversals
Learn to predict potential trend reversals in stocks and cryptocurrencies using Python, Pandas, and Plotly. Discover how to identify Fibonacci retracement levels for low-risk trade entries.
Power S&P Capital IQ Data Apps with Databricks and Plotly
Explore S&P Capital IQ Data Apps: Leveraging Databricks and Plotly for powerful analytics, data processing, and interactive visualizations using S&P Global's extensive financial datasets.
Visual Data Storytelling with Blender and Python
Discover how to create immersive 3D animations for data storytelling by combining Blender's 3D capabilities with Python's 2D plotting libraries, enhancing your data visualization skills.
End-to-End Data Engineering on Azure Spark Cluster: Japan Visa Analysis
Set up Spark master-worker architecture in Docker on Azure, process and visualize Japan visa data using PySpark and Plotly. Clean, transform, and gain insights into visa trends through interactive data analysis.
Making Beautiful, Publication Quality Tables in Python - 2024 Update
Explore techniques for creating visually appealing, publication-ready tables in Python, bridging the gap between raw DataFrame output and structured, informative displays.
Interactive Visualization Dashboards: Transforming Research Papers into Dynamic Web Applications
Aprende a transformar artículos de investigación en aplicaciones web dinámicas utilizando paneles de visualización interactivos para una presentación más atractiva y accesible de datos científicos.
Reproducible ML Experimentation with Rubicon-ML
Explore reproducible ML experimentation using rubicon-ml, an open-source Python library for capturing and storing model training information in a searchable way, ensuring full reproducibility and audit-ability.
Visual Data Storytelling with Blender and Python
Create immersive 3D data visualizations by combining Blender's animation capabilities with Python's 2D plotting libraries for impactful storytelling and enhanced data interpretation.
Making Beautiful, Publication Quality Tables in Python - 2024 Update
Explore techniques for creating visually appealing, publication-ready tables in Python, bridging the gap between raw DataFrame output and structured, informative displays.
Plotly Tips - Exploratory Data Analysis
Explore data visualization techniques using Plotly library for tips dataset analysis. Learn to create various chart types and gain insights through hands-on exploratory data analysis.
Essential Python Libraries for Data Science and Development - 2024
Master essential Python data science libraries including NumPy, Pandas, Matplotlib, Scikit-learn, and more through hands-on examples and practical demonstrations, culminating in building a Tic Tac Toe game.
เรียนรู้ที่จะก้าวไปพร้อมกับ AI | กษิดิศ สตางค์มงคล | TEDxMahidolU | กษิดิศ สตางค์มงคล | TEDxMahidolU
จากเครื่องมือธรรมดาที่ถูกออกแบบมาเพื่อพูดคุย วันนี้ AI ได้กลายเป็นสิ่งที่ช่วยต่อยอดความคิด วิเคราะห์ และสร้างสรรค์งานในแบบที่เราอาจไม่เคยจินตนาการมาก่อน คำถามคือ…เราจะมอง AI เป็นเพียงสิ่งท้าทาย ที่จะเข้ามาแย่งงานเรา หรือจะก้าวไปสู่การเรียนรู้ร่วมกัน เพื่อสร้างอนาคตที่ก้าวไกลยิ่งกว่าเดิม? From a sim