Platform to talk about exciting algorithms mostly related to Artificial Intelligence.
Algo Talks EP 3
In the third episode of Algo Talks, we discussed Deep Learning concepts, the implementation of tfidvectorizer, and the Long-Short-Term Memory (LSTM) Algorithm.
2 Nov 2021
Algo Talks EP 2
In this episode of Algo Talks, we talked about the 'Naive Bayes Algorithm' which expands upon the idea of Bayes' Theorem and its implications. The Naive Bayes Algorithm is a statistical classification technique that is based on the Bayes Theorem that is used in sentiment analysis, spam filtering, recommendation systems, and other applications.
10 Sep 2021
Algo Talks EP 1
First ever episode of the Algo Talks Series !!! Our Presenters Roshan Parajuli and Suman Raj Khanal guided us from the theoretical basics to the practical implementations of the k-NN algorithms. The k-nearest neighbors algorithm (k-NN) is a non-parametric supervised learning method for classification and regression. Also, the output varies on the basis of whether k-NN is used for regression or classification.
19 Aug 2021
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