Discover @Tonmoy-saha18 Open Source projects

Tonmoy Saha (@Tonmoy-saha18)

Tonmoy-saha18

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Registered about 4 years ago
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Location 🇧🇩 Bangladesh
Country Total Rank 1,775
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Python
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Musicity-Beta

It is an online-based music platform, where user can upload their own music and earn money from that music. If a song is not premium then the user can be able to listen to that music for free. If not then the user needs to buy that music, otherwise, the user can be able to listen to a little portion of that music.

HTTP-Server-Client

Artificial-Intelligence

Data-Structure

In this repository you will get many kinds of Data Structure Code.

Multiplication-Table-Generator

In mathematics, a multiplication table is a mathematical table used to define a multiplication operation for an algebraic system.

Infix-to-prefix-and-postfix-conversion

Here we are converting infix notation to a postfix or prefix notation.

Postfix-expression-calculation

Calculating postfix expression and showing the result

Coursera-test

Coursera repository

Naive-Bayes-Classifier

Naïve Bayes Classifier is one of the simple and most effective Classification algorithms which helps in building the fast machine learning models that can make quick predictions. It is a probabilistic classifier, which means it predicts on the basis of the probability of an object.

Jupyter Notebook

Algorithm

In mathematics and computer science, an algorithm is a finite sequence of well-defined, computer-implementable instructions, typically to solve a class of specific problems or to perform a computation.

K-Nearest-Neighbor-Regression-on-diabates-Dataset

The k-nearest neighbors algorithm is a non-parametric classification method first developed by Evelyn Fix and Joseph Hodges in 1951, and later expanded by Thomas Cover. It is used for classification and regression. In both cases, the input consists of the k closest training examples in data set.

Logistic-Regression-on-Iris-Dataset

Logistic regression is one of the most popular Machine Learning algorithms, which comes under the Supervised Learning technique. It is used for predicting the categorical dependent variable using a given set of independent variables. Logistic regression predicts the output of a categorical dependent variable.

K-Nearest-Neighbor-on-Iris-Dataset

The k-nearest neighbors algorithm is a non-parametric classification method first developed by Evelyn Fix and Joseph Hodges in 1951, and later expanded by Thomas Cover. It is used for classification and regression. In both cases, the input consists of the k closest training examples in data set.

Test

Musicity

It is an online-based music platform, where user can upload their own music and earn money from that music. If a song is not premium then the user can be able to listen to that music for free. If not then the user needs to buy that music, otherwise, the user can be able to listen to a little portion of that music.

K-Means-Clustering

K-Means Clustering is an unsupervised learning algorithm that is used to solve the clustering problems in machine learning or data science. K-Means Clustering is an Unsupervised Learning algorithm, which groups the unlabeled dataset into different clusters. Here K defines the number of pre-defined clusters that need to be created in the process, as if K=2, there will be two clusters, and for K=3, there will be three clusters, and so on.

Jupyter Notebook