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8 lip 2024 · This technique is commonly used in algorithms like finding subarrays with a specific sum, finding the longest substring with unique characters, or solving problems that require a fixed-size window to process elements efficiently.
8 lip 2024 · In this article, we are going to see how to compute classification reports and confusion matrices of size 3*3 in Python. Confusion matrix and classification report, two are very commonly used and important library functions available in scikit learn library.
22 lip 2024 · In OLS method, we have to choose the values of b_1 b1 and b_0 b0 such that, the total sum of squares of the difference between the calculated and observed values of y, is minimised. Formula for OLS: Where, \hat {y_i} yi^ = predicted value for the ith observation. y_i yi = actual value for the ith observation.
5 lip 2024 · Gain insights on what a confusion matrix is & its use from this comprehensive tutorial. Also, learn how to implement the matrix in Python.
5 lip 2024 · Identify the imbalance: You start by recognizing that your data has a minority class, like rare disease cases in a medical dataset. Focus on the minority: SMOTE specifically creates new data points for the minority class, not the majority. Create synthetic samples: It analyzes existing minority data points and generates new ones similar to them.
19 lip 2024 · Build the model. Set up the layers. Compile the model. Train the model. Feed the model. Run in Google Colab. View source on GitHub. Download notebook. This guide trains a neural network model to classify images of clothing, like sneakers and shirts.
12 lip 2024 · First download and import the dataset using pandas:
