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Category Archives: Machine Learning

The development of the model can be saved both before and after testing. As a result, a model will pick up where it left off… Read More
The process of finding optimal values for the specific parameters of a given system to fulfill all design requirements while considering the lowest possible cost… Read More
Data Science and Machine Learning both require data and more accurately a bunch of information. Logs and Metrics are two great types of data collecting… Read More
In this article, we will learn how to do exponential and logarithmic curve fitting in Python. Firstly the question comes to our mind What is… Read More
Y Scrambling is a method that one can use in order to test whether the predictions made by the model aren’t made just by chance.… Read More
Previous article Grey wolf optimization- Introduction talked about inspiration of grey wolf optimization, and its mathematical modelling and algorithm. In this article we will implement… Read More
The process of finding optimal values for the specific parameters of a given system to fulfill all design requirements while considering the lowest possible cost… Read More
The step-by-step procedure to obtain an optimum value (maximum or minimum) of an objective function is called an Optimization Algorithm. Meta-heuristic optimization algorithms are becoming… Read More
Prerequisite – Genetic Algorithm Introduction : Simple Genetic Algorithm (SGA) is one of the three types of strategies followed in Genetic algorithm. SGA starts with… Read More
Prerequisite – Genetic Algorithm SSGA stands for Steady-State Genetic Algorithm. It is steady-state meaning that there are no generations. It differs from the Simple Genetic… Read More
In this article, we will discuss the overview of human intelligence and the types of human intelligence, and before continuing you can read the article… Read More
Transformer models are a huge success among the wide range of different NLP tasks. This caused the transformers to largely replacing the former auto-regressive recurrent… Read More
 Support Vector Machine is the supervised machine learning algorithm, that is used in both classification and regression of models. The idea behind it is simple… Read More
The majority of ML research concerns slow, statistical learning of samples from large, labeled datasets. Humans and Animals do not learn this way. An important… Read More
Here we will predict the quality of wine on the basis of giving features. We use the wine quality dataset from Kaggle. This dataset has… Read More