Machine Learning

massachusetts institute of technology

M. I. T. Researchers Developed A. I. Model Which Can Locate Cancer

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Researchers at Massachusetts Institute of Technology    with Dana-Farber Cancer Institute  have developed a machine learning model  which can locate  the origin of the cancer.  Researchers developed machine learning model which can analyze sequence of  400  genes and predict that where is tumor located. Researchers took data of 900 patients  and trained machine learning model […]

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Understand classification Problem in Machine Learning

Understand classification Problem in Machine Learning

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Basically, there are four types of machine learning algorithms. 1- Supervised Learning Algorithms- In supervised  learning, values of  features and labels or classes are given. Further, Supervised learning algorithms are of two types. 1.1- Regression- In regression numerical values are predicted. 1.2-Classification In classification, labels  are predicted. 2-Unsupervised Learning Algorithms In unsupervised learning, instances have

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Pandas Series Functions min(), max(), mean(), median() and mode()

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Panda’s Series- In the last post, I explained how to create a panda’s series. Further,  a pandas series has a lot of   you often need to analyze, visualize and clean data.  In this post, I will be explaining min(), max(), mean(), median(), and mode functions. min() Function- import pandas as pd lst=[2, 4, 6, 8,

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K-Means-Clustering

K-Means Clustering Algorithm in Machine Learning

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K-Means clustering is an unsupervised   machine learning algorithm which partitions n instances into k clusters by similarity. As K-Means clustering is an unsupervised learning algorithm, therefore instances will not have labels. As  K-Means clustering  is an unsupervised learning algorithm, training instances will not have labels. Furthermore, to make you understand K-Means clustering algorithm, I will

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K-Nearest-Neighbor-Algorithm

K-Nearest Neighbors Algorithm in Machine Learning

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K-Nearest Neighbors algorithm (KNN) K-Nearest Neighbors algorithm (KNN) is a very important supervised machine learning algorithm and one should start from this algorithm. It is easy to understand compare to other algorithms and does not involve complex mathematical concepts. In this post, I will explain k-Nearest Neighbors algorithm using Irish flowers data set.   From

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K-Nearest Neighbors

K-Nearest Neighbors Algorithm in Python

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K-nearest neighbors algorithm is a machine learning algorithm which is used for classification and regression, and it can be applied where other machine learning algorithms are applied. See the typical problem setting , Suppose (x1, y1), (x2, y2), (x3, y3), ……………….(xn, yn) pairs in which x’s are attributes and y’s are labels, suppose another instance

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