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Creating a choropleth building permit density in Nashville | Chan`s Jupyter

Creating a choropleth building permit density in Nashville | Chan`s Jupyter

In this chapter, you will learn about a special map called a choropleth. Then you will learn and practice building choropleths using two different packages - geopandas and folium. This is the Summary of lecture “Visualizing Geospatial Data in Python”, via datacamp.

https://goodboychan.github.io/chans_jupyter/python/datacamp/visualization/2020/07/03/01-Creating-a-choropleth-building-permit-density-in-Nashville.html

Advanced Operations, Detecting Faces and Features | Chan`s Jupyter

Advanced Operations, Detecting Faces and Features | Chan`s Jupyter

After completing this chapter, you will have a deeper knowledge of image processing as you will be able to detect edges, corners, and even faces! You will learn how to detect not just front faces but also face profiles, cat, or dogs. You will apply your skills to more complex real-world applications. Learn to master several widely used image processing techniques with very few lines of code! This is the Summary of lecture “Image Processing in Python”, via datacamp.

https://goodboychan.github.io/chans_jupyter/python/datacamp/vision/2020/08/02/03-Advanced-Operations-Detecting-Faces-and-Features.html

Work with Multiple Time Series | Chan`s Jupyter

Work with Multiple Time Series | Chan`s Jupyter

In the field of Data Science, it is common to be involved in projects where multiple time series need to be studied simultaneously. In this chapter, we will show you how to plot multiple time series at once, and how to discover and describe relationships between multiple time series. This is the Summary of lecture “Visualizing Time-Series data in Python”, via datacamp.

https://goodboychan.github.io/chans_jupyter/python/datacamp/time_series_analysis/visualization/2020/06/13/02-Work-with-Multiple-Time-Series.html

The Hottest Topics in Machine Learning | Chan`s Jupyter

The Hottest Topics in Machine Learning | Chan`s Jupyter

Neural Information Processing Systems (NIPS) is one of the top machine learning conferences in the world where groundbreaking work is published. In this Project, you will analyze a large collection of NIPS research papers from the past decade to discover the latest trends in machine learning. The techniques used here to handle large amounts of data can be applied to other text datasets as well. This is the Result of Project “The Hottest Topics in Machine Learning”, via datacamp.

https://goodboychan.github.io/chans_jupyter/python/datacamp/data_science/machine_learning/2020/08/24/01-The-Hottest-Topics-in-Machine-Learning.html

Creating a choropleth building permit density in Nashville | Chan`s Jupyter

Creating a choropleth building permit density in Nashville | Chan`s Jupyter

In this chapter, you will learn about a special map called a choropleth. Then you will learn and practice building choropleths using two different packages - geopandas and folium. This is the Summary of lecture “Visualizing Geospatial Data in Python”, via datacamp.

https://goodboychan.github.io/chans_jupyter/python/datacamp/visualization/2020/07/03/01-Creating-a-choropleth-building-permit-density-in-Nashville.html

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