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Building an End-to-End Machine Learning Project to Reduce Delays in Aggressive Cancer Care.

Towards AI

Gilead Sciences provided a rich, real-world dataset that contains information about demographics, diagnosis and treatment options, and insurance provided to patients who were diagnosed with breast cancer from 2015–2018. The dataset originated from Health Verity, one of the largest healthcare data ecosystems in the US.

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Multivariate Time Series Forecasting

Mlearning.ai

The Art of Forecasting in the Retail Industry Part I : Exploratory Data Analysis & Time Series Analysis In this article, I will conduct exploratory data analysis and time series analysis using a dataset consisting of product sales in different categories from a store in the US between 2015 and 2018.

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Netflix Data Analysis using Python

Mlearning.ai

In this blog, we’ll be using Python to perform exploratory data analysis (EDA) on a Netflix dataset that we’ve found on Kaggle. We’ll be using various Python libraries, including Pandas, Matplotlib, Seaborn, and Plotly, to visualize and analyze the data.

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The Gap’s Data Science Director Has Tailored the Retailer’s Operations

Flipboard

Anand, who began as an analyst in 2013, was promoted to assistant vice president in 2015. As an assistant vice president, he developed data science and machine learning models to price bonds more accurately. There are eight of what he calls spokes in data science. Continuing education is important, Anand says.