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I have noticed that when One Hot encoding is used on a particular data set (a matrix) and used as training data for learning algorithms, it gives significantly better

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python - Using frequent itemset mining to build association rules

13 Aug 2011 Some theoretical facts about association rules: Association rules is a type of undirected data mining that finds patterns in the data where the

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Damage inflicted at gold-mining site could reach $500k Otago

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28.7k99 gold badges6666 silver badges9898 bronze badges r machine-learning classification data-mining gbm AFAIS, the more powerful a machine learning method, the more complex to So you will not be able to customize the plot the way you want in that mode.

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You need to define your loss like that in order to pass new parameters to it : def machine-learning keras deep-learning data-mining autoencoder Why i am getting “NotImplementedError()” when building a custom optimizer in Tensorflow Why does Keras model.pr

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How to tag named entities to prepare training data for custom

import re sentence = "Machine learning and data mining often employ the same methods and overlap significantly." dic = {'MLDM': ['machine

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rapid miner: how to add a 'label' attribute to a dataset? The goal of Machine Learning is in fact to make the most informed decision about a new example

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If H(C|K) = 0, it means that random variable C is completely determined by given random variable K, you can machine-learning scikit-learn k-means. answered

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Finally, it works ;) I tried to redo it again by understanding the new process, guess what? ref: https://www.coursera.org/learn/machine-learning-with-python/discussions/weeks/6/threads/_rcBnPuBEem2-gr7TnpXlw Adding custom stopwords to IBM Watson Discovery

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There is also a new Weka documentation site. of the "Choose" button (a new window opens) Step 3: In the attributeIndices box enter your custom ranges If you

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For gold mining equipment, see Rocker box. An engraved copper plaque next to the Rocker Shovel at Bingham Canyon Mine. EIMCO 12B in the passing loop at Lea Bailey Light Railway. A Rocker Shovel Loader, sometimes simply referred to as a Rocker Shovel or Mucker is a ty

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Then you would train your model until it was the same as the right model. At that point you could say the model converged! but the whole point of machine

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First new all-electric mine dumps diesel; cuts costs, pollution - Reuters

21 Jun 2018 machines are tunneling toward gold in a multimillion-dollar mining from all-electric operations requires customization of new-builds.

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Principal components are new variables that are constructed as linear combinations or 65.6k1010 gold badges108108 silver badges170170 bronze badges You can try custom made k-means(clustering algorithm) or other. As explained by machine learning expert And

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Machine Learning & Big Data - Stack Overflow

My company has been working on simple custom data format that allows able to perform a given data mining or machine learning algorithm in 30 much more complicated to iterate quickly and quickly test new ideas. Matthieu Durut 4,170○33 gold badges○1717 silv

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Scikit-Learn: Predicting new points with DBSCAN With Scipy you can define a custom distance function as suggested by the documentation at this link and

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machine learning - Python Implementation of OPTICS (Clustering

where each cluster in the list contains a list of (x, y) pairs belonging to that cluster. python machine-learning cluster-analysis data-mining optics-algorithm.

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machine learning - Difference between classification and clustering

If you have asked this question to any data mining or machine learning +Classification: you are given some new data, you have to set new label for them.

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