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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 Important Neural Network Architectures Explained
1. Perceptron The perceptron is the most basic of all neural networks, being a fundamental building block of more complex...
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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
What is the Normal Distribution?
Probability distribution is the function that shows the probabilities of the outcome of an event or experiment. Consider a feature...
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Naveen
📅 Last Updated: 12 Dec, 2024
Important Deep learning Concept Explained Part – 2
Converge Algorithm that converges will eventually reach an optimal answer, even if very slowly. An algorithm that doesn’t converge may...
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Naveen
📅 Last Updated: 12 Dec, 2024
Important Deep learning Concept Explained Part – 1
Neuron Node is a NN, typically taking in multiple input values and generating one output value by applying an activation...
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Naveen
📅 Last Updated: 12 Dec, 2024
Russia-Ukraine War Data Analysis Project using Python
In this article I will take you through the task of Analyzing the Russia-Ukraine war Dataset using Python. The dataset...
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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: 12 Dec, 2024
Top 8 Deep Learning Algorithms
Convolutional Neural Networks CNN’s popularly known as ConvNets majority consists of several layers and are specifically used for image processing...
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