machine learning
Naveen
📅 Last Updated: 21 Apr, 2025
Important Machine Learning Concepts Part – 2
Ensemble Learning Training multiple models with different parameters to solve the same problem. A/B Testing Statistical way of comparing 2+...
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Naveen
📅 Last Updated: 21 Apr, 2025
Important Machine Learning Concepts Part – 1
Features Input data/variables used by the ML model. Feature Engineering Transforming input features to be more useful for the models....
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Naveen
📅 Last Updated: 21 Apr, 2025
What is selection Bias?
Selection bias is a kind of error that occurs when the researcher decides who is going to be studied. It...
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Naveen
📅 Last Updated: 12 Dec, 2024
What is a confusion matrix?
The confusion matrix is a 2×2 table that contains 4 outputs provided by the binary classifier. Various measures, such as...
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Naveen
📅 Last Updated: 12 Dec, 2024
What is the ROC curve?
The ROC curve is a graph between False positive rate on the x axis and True positive rate on the...
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Naveen
📅 Last Updated: 21 Jun, 2026
True Positive Rate and False Positive Rate Explained
If you’ve ever looked at an ROC curve and wondered what those two axes actually mean, you’re looking at true...
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Naveen
📅 Last Updated: 12 Dec, 2024
3 Concepts Every Data Scientist Must Know Part – 3
1. What is the significance of sampling? Name some techniques for sampling? For analyzing the data, we cannot proceed with...
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Naveen
📅 Last Updated: 12 Dec, 2024
3 Concepts Every Data Scientist Must Know Part – 2
1. Bagging and Boosting Bagging and Boosting are two different ways used in combining base estimators for ensemble learning (Like...
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Naveen
📅 Last Updated: 12 Dec, 2024
3 Concepts Every Data Scientist Must Know Part – 1
Central Limit Theorem We first need to introduce the normal (gaussian) distribution for central limit theorem to make sense. Normal...
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Naveen
📅 Last Updated: 12 Dec, 2024
Most Common Feature Scaling methods in Machine Learning
Definition Feature scaling is the process of normalizing the range of feature in a dataset. Real-world datasets often contain features...
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Naveen
📅 Last Updated: 21 Apr, 2025
Stress Detection Project using Machine Learning
Stress, tension, and misery are undermining the psychological well-being of individuals. Each individual has a justification behind having an unpleasant...
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Naveen
📅 Last Updated: 12 Dec, 2024
Outlier Detection methods in Machine Learning
Objective An outlier is an individual point of data that is distant from other points in the dataset. It is...
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