Master Generative AI with 10+ Real-world Projects in 2025!
25 image processing questions to test the skills of data scientists. This article provides multiple choice image processing questions useful in data science
Facebook Prophet is an open source library to create quick, accurate time series forecasts. Learn about forecasts with Prophet with Python & R code examples
Gradient boosting is used for improving prediction accuracy. This tutorial explains the concept of gradient boosting algorithm in r with examples.
Convolutional neural network architecture and cnn image recognition. In this article, learn about convolutional neural networks and cnn to classify images.
Data preprocessing in python using scikit learn library that includes scaling, label encoding for preprocessing and preparing data for our models.
Learn the secrets of optimizing deep learning neural network hyperparameters to achieve peak performance with a focus on fine-tuning layers.
Dive into regression coefficients, explore formulas, interpretation, and the battle between standardized and unstandardized versions.
Explore the Sampling Techniques, its importance, types, and steps involved. Learn about probability and non-probability sampling methods.
Explore content based recommender systems, their workings, applications, and limitations. Learn to build a recommender system step-by-step!
Create pivot tables with Pandas in Python. Learn how to quickly summarize and analyze data by generating a powerful pandas pivot table.
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