Category: Python
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Building your first Docker Image ft. Python
Hey everyone, Welcome back! In our previous post, we have seen what exactly we mean by Docker, images and containers. In this blog, we would practically say a Hello to Docker and build our first Docker Image. To do this, we need to have Docker installed, Isn’t it? so Let’s start. Installing Docker If you’re…
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Simple Web API in Python
Hello everyone, Welcome back! In this blog, we will learn writing a simple Web API which serves JSON in Python programming language. We will use Flask Library to create web API’s in Python. So go ahead, and install Flask using pip. Now that we have our library, let’s go ahead and start writing our own…
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K-Means Algorithm Python Implementation
In our previous post, we’ve discussed about Clustering algorithms and implementation of KNN in python. In this post, we’ll be discussing about K-means algorithm and it’s implementation in python. K-Means Algorithm K-Means algorithm is one of the simplest and popular unsupervised learning algorithm. The main objective of this algorithm is to find clusters or groups…
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Clustering Algorithms
K-Nearest Neighbors In our previous post, we’ve discussed Support Vector Machine and implementation of Support Vector Machine in python. In this post we’ll be discussing about Clustering algorithms and implementation of KNN algorithm. Clustering Clustering is the task of grouping the data into several groups such that the objects or the data points in one…
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Support Vector Machine
In our previous post, we’ve discussed about Logistic Regression and implementation of Logistic regression in python. In this post, let’s understand the most popular binary classification algorithm Support Vector Machine. Support Vector Machine Support Vector Machine commonly abbreviated as SVM, is a popular supervised machine learning algorithm which can be used for both regression and…
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Logistic Regression
In our previous post, we’ve discussed about the Decision Trees and implementation of Decision trees in python.In this post, let’s understand what is logistic regression and implement it in Python. Logistic Regression Logistic Regression can be simply understood as an extension to Linear Regression.Generally, in linear regression we deduce a linear relationship between the predictives…
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Decision Trees in Machine Learning
In our previous post, we’ve implemented python code for the handwritten digit recognition. In this post, let’s understand what are decision trees and implementation of decision trees in python. Decision Trees: Decision trees are trees where each node in them represents a question regarding an attribute, edge represents the answer to the question and leaf…
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Handwritten digit recognition using KNN
In our previous post, we’ve discussed classification problems and algorithms available in sklearn module along with implementation of KNN algorithm. In this post, let’s build a model to recognize handwritten digits. Requirements : sklearn Commands : Open your anaconda prompt and verify the installation of sklearn using pip list, if not available use the command…
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Classification in Machine Learning
In our previous post, we have discussed about the steps involved in building a machine learning model which is commonly referred to as a pipeline. In this post we’ll be learning about the classification problems. Classification problem in Machine Learning Classification is a sub-category of supervised learning where our objective is to predict the categorical…
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