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Machine learning pipelines in PySpark are easy to build if you follow a structured approach. Learn how to build ML pipelines using pyspark.
Apple’s Core ML 3 is a useful language for data scientists. Learn about the AI ecosystem and how Core ML 3 works and build deep learning models on iPhone.
Explore PySpark, its installation, applications, and key concepts like Spark, partitions, transformations & data types in Spark MLlib.
This guide talks about how to build a linear regression model using Qlik. Expand your skill set in BI and learn how to build models using Qlik.
Level up your data visualization skills with Seaborn. Enhance your Python data science projects with visually stunning and insightful plots.
Skimage tutorial to learn how it works and also 8 powerful skimage tricks to make you a computer vision expert. Get started with skimage Python here.
Explore the HOG feature descriptor in computer vision. Learn the steps to calculate HOG features and implement them in Python for analysis.
Real-time object detection is the next big thing in computer vision and deep learning. Learn how to perform real-time object detection using SlimYOLOv3.
PyTorch Transformers is the latest state-of-the-art NLP library for performing human-level tasks. Learn how to use PyTorch Transfomers in Python.
24 python libraries for data science! These python libraries cover data cleaning, data manipulation and visualization, modeling, deployment and more.
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