Ensemble Methods: Part 2
In the ensemble of learning algorithms part-1, I have discussed the introductory and some of the basic techniques in the […]
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December 2020
KNN | K-Nearest Neighbours
K-Nearest Neighbours algorithm which also called KNN is the supervised learning algorithm which easy to implement which can be used
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K-Means
k-means algorithm is commonly used in clustering. Clustering is a technique which is used in identifying the same subgroups of
Feature Selection
Feature selection is the core technique in machine learning algorithms which impacts directly on your model performance. Irrelevant features can
Optimization of Training in Deep Learning
Deep Learning is an iterative way of training the machine. Like any iterative or cyclic process, DL involves three main
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Object Detection Using YOLO
YOLO – “You Only Look Once” are a series of end-to-end deep learning models designed for fast object detection, developed
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RNN And LSTM
Introduction to RNN RNN stands for Recurrent Neural Networks. The RNNs first appeared in the 1980s and since then they
K-Nearest Neighbours
k-Nearest Neighbours or kNN, in short, is one of the simplest supervised machine learning algorithms that can be used to
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