Can we study Snowpack with Satellites?

Snowpack metrics are incredibly important to understanding our climate and planning for drinking water supplies. In the Western United States, roughly 75% of drinking water comes from annual snow melt according to the USGS. While snowpack is extremely important to many parts of the world, measuring snowpack is a difficult task. Especially when it comes to understanding how snow is changing over very large swaths of land in the arctic.

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Dashboards for interpreting & comparing Machine Learning Models

Comparing different models can be one way of selecting the best model, but it is time taking process where we will create different machine learning models and then compare their performance. It is also not feasible because most of the models are black-box and we don’t know what is going on inside the model and how it will behave. In short, we don’t know how to interpret the model because of the model complexity and model being black-box.

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10 secret Tableau features you should start using right away

Tableau expert

The power of Tableau is its ease of use. With only a few clicks you can drag and drop different data fields to create your view. As per all the other tools, it takes time to explore and master all Tableau features but with this article, I aim to explain 10 tips and tricks which will help you to build compelling dashboards in a timely fashion.

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How to build high-impact graphs for data science

Building a graph, either using D3.js or other other visualisation tools, is a very funny task. You can pick, merge and combine your data, in order to obtain very impressive graphs. You may even build very complex graphs, which summarise million data. However, may be, you have wasted your time. The point is that no matters how many data you put in your graph, but how meaningful they are.

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Bring explainable-AI to the next level by finding the “Few Vital Causes”

When a SHAP value is positive (colored in pink), it means that the corresponding feature raises the probability of churn for that customer. The opposite when the SHAP is negative (colored in blue). For instance, “International plan” contributes to raising churn probability of this customer, whereas “Total night minutes” pushes the probability down.

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Mythbusting the analytics journey

This isn’t your typical recruiting story. I wasn’t actively looking for a new job and Netflix was the only place I applied. I didn’t know anyone who worked there and just submitted my resume through the Jobs page 🤷🏼‍♀️ . I wasn’t even entirely sure what the right role fit would be and originally applied for a different position, before being redirected to the Analytics Engineer role. So if you find yourself in a similar situation, don’t be discouraged!

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What I learnt from giving 120+ Data Science presentations

In 1869, French civil engineer Charles Minard visualised the movement of Napoleon’s Russian campaign in 1812. Whilst it is difficult to construct such charts even now, it is a stunningly simple chart that articulates six variables in one 2D plot! (temperature, troop count, travelled distance, direction of travel, lat/long and location relative to specific dates). It literally tells the sad story of conquest through data.

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Hands-on guide to plotting a Decision Surface for ML in Python

Matplotlib provides a handy function called contour(), which can insert the colors between points. However, as the documentation suggested, we need to define the grid of points Xof yin the feature space. The beginning point would be to find the maximum value and minimum value of each feature then increase by one to make sure that the whole space is covered.

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Let’s talk about Open Data…

According to the International Open Data Charter, it defines open data as those digital data that are made available with the technical and legal characteristics necessary so that they can be freely used, reused and redistributed by anyone, at anytime and anywhere. But what are the bases that are governed to comply with the definition of open data, the International Open Data Charter gives us the principles.

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