Category: Machine Learning
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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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Machine Learning: Regression
As discussed in our previous posts, there are two kinds of Machine Learning problems i.e. Classification and Regression. In this post, we will look into Regression and implement one of the simplest regression algorithms in Python. Regression : Regression models are used to predict a continuous variable using our features. In simple terms, our target…
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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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Key concepts for model building in ML
In our previous post, we’ve discussed about the buzzword “Machine Learning“, types of machine learning and machine learning problems. In this post we’ll be learning about the steps involved in building a machine learning model. Steps involved to build a machine learning model As every learning process involve a sequence of steps, machine learning also…
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Machine Learning for Beginner’s
The following series of blogs run in parallel with the Artificial Neural Networks(A.N.N) which enables you to take baby step’s in Machine Learning. What exactly is Machine Learning ? Machine Learning is an ability given to a machine to sense, act and react to a particular situation. In the above picture,the model detects the objects…
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