Master Generative AI with 10+ Real-world Projects in 2025!
Learn what is categorical data and various categorical data encoding methods such as binary encoding, dummy, target encoding etc.
Learn how to evaluate your Machine Learning model, understand bias, variance, and the bias-variance tradeoff with a clear example. Essential steps included!
Discover how to create a video game sales prediction using machine learning. Train a model and build a real-world application with Python.
Understand use of Machine Learning in Supply Chain Management where you would like to predict the defective piece percentage in delivery from the supplier.
Feature Scaling and transformation help in bringing the features to the same scale and change into normal distribution. Thus,
Neural Networks from scratch Python and R tutorial covering backpropagation, activation functions, and implementation from scratch.
Learn how to use data augmentation, resampling techniques, & cost-sensitive learning for solving class imbalance in machine learning.
Machine learning in finance is a big thing these days. Here’s a real world machine learning case study of using clustering on financial transactions.
Learn the different ways to split a decision tree in machine learning: Information Gain, Gini Impurity, Reduction in Variance & Chi-Square.
Which tools for data science to choose for your career? Here’s a comprehensive list of 20 plus data science tools and machine learning tools you should know
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