ML

What is epoch in machine learning?

In a nutshell, epoch is a term used in machine learning that stands for an “epoch” of data. Epochs are used to divide data into manageable chunks, making it easier for algorithms to learn from (and, ultimately, predict future outcomes). Obviously, this makes epochs incredibly important when it comes to machine learning; without them, the … Read more

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Logistic Regression from Scratch

Logistic Regression from Scratch

Let’s us try to implement logistic regression from scratch in python. Recommended to be read after the Neural Networks release. To test and run the code used check out: https://www.kaggle.com/code/tanavbajaj/logistic-regression-math-behind-without-sklearn Importing necessary libraries import numpy as np # linear algebra import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv) import matplotlib as … Read more

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Introduction to Classification

Introduction to Classification

Under supervised learning, there is a type called classification. These algorithms are used to recognise the category a new observation belongs to based on the training dataset. In supervised learning, there are independent variables and a dependent variable Here, the dependent variable is the category, and each category’s features are independent variables. These categories are … Read more

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Classification-of-Machine-Learning

Introduction to Classification

Under supervised learning, there is a type called classification. These algorithms recognize the category a new observation belongs to based on the training dataset. In supervised learning, there are independent variables and a dependent variable Here, the dependent variable is the category, and each category’s features are independent variables. These categories are distinct and pre-defined … Read more

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