Master Generative AI with 10+ Real-world Projects in 2025!
Understand in-depth how the Adaboost Algorithm works. Learn the advantages of Adaptive Boosting and how to use it for your projects.
This article gets you started with audio data. This includes audio and voice data analysis using deep learning with case study on various sounds.
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.
An introduction to random forest model algorithm and how to apply random forest classification algorithm using data for a case study in predictive analysis.
Explore the HOG feature descriptor in computer vision. Learn the steps to calculate HOG features and implement them in Python for analysis.
Discover bar plots, their differences from histograms, and how to create them in Python, including types and time series applications.
Learn about Cost Functions, Gradient Descent, its Python implementation, types, plotting, learning rates, local minima, and the pros and cons.
An introduction to computer vision and use of opencv functions in it. Here is the list of opencv functions for computer vision projects with python codes.
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