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Lets Open the Black Box of Random Forests
Random Forests are always referred to as black-box machine learning models. Let's try to crack open it and see what is inside it.
Ujwal 04 Dec, 2020
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A Measure of Bias and Variance – An Experiment
In this article we measure the bias and variance of a given model and observe the behavior of bias and variance w.r.t various ML models
Rajasayanam 02 Dec, 2020
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Linear Regression vs Logistic Regression: Difference
Explore regression analysis, including linear vs. logistic regression, their steps, graphical patterns, similarities, differences, and use cases. Read Now!
Sourav 13 Nov, 2024
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Accuracy and its shortcomings: Precision, Recall to the rescue
Using recall, precision, and F1-score allows us to assess classification models and also makes us think about using only accuracy of a model
Rohit 01 Dec, 2020
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Interpreting P-Value and R Squared Score on Real-Time Data
In this article we see, Data Exploration using some of the statistical measures like P, R2, Hypothesis testing, and Anova. Read Now!
PATTABHIRAMAN 27 Nov, 2024
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Creating Linear Model, It’s Equation and Visualization for Analysis
Linear Model is something you learn at the beginning of your data science journey. Learn to Create Linear Model, equation and visualize it
Kelechi 25 Oct, 2024
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A Tour of Evaluation Metrics for Machine Learning
Evaluation metrics in machine learning are used to understand how well our model has performed. Learn about the types of evolution metrics
Sahil 01 Dec, 2020
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Log Loss vs. Mean Squared Error: Choosing the Right Metric for Classification
Learn the mathematics behind log loss, the logistic regression cost function and classification metric based on probabilities on our article Read Now
Megha 01 May, 2025
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Big Data to Small Data – Welcome to the World of Reservoir Sampling
Reservoir sampling is defined as to create a reservoir from a big ocean of data. Understand the concept of reservoir sampling
Sreenath 24 Nov, 2020
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Lasso Regression causes sparsity while Ridge Regression doesn’t! – Unfolding the math
Lasso regression causes sparsity while Ridge regression doesn’t! In this article let’s unfold the maths behind ridge and lasso regression.
Sreenath 26 Oct, 2021
