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This article gets you started with audio data. This includes audio and voice data analysis using deep learning with case study on various sounds.
Learn inheritance in oops python language, and explore advanced concepts such as multiple inheritance and method resolution order.
Donut plots or Doughnut Charts are a special kind of Pie chart with the difference that it has a Blank Circle at the center.
Python and R cheat sheets for machine learning algorithms. It contains codes on data science topics, decision trees, random forest, gradient boost, k means.
Want to know how to become a data engineer? Here is a list of resources, certifications and other important links that will help you to get started with it.
Learn about Cost Functions, Gradient Descent, its Python implementation, types, plotting, learning rates, local minima, and the pros and cons.
Explore the HOG feature descriptor in computer vision. Learn the steps to calculate HOG features and implement them in Python for analysis.
An introduction to random forest model algorithm and how to apply random forest classification algorithm using data for a case study in predictive analysis.
Discover bar plots, their differences from histograms, and how to create them in Python, including types and time series applications.
Get to know large language models: learn how these models, trained on massive amounts of text data, can understand, analyze, and generate.
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