# Q spam detection: For spam detection we choose

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Last updated: July 12, 2019

Q 1) How will youchoose the right algorithm?·        Using past data and optimize futureresult is called as machine learning.

There is various techniques using whichwe can select the right algorithm.·        Depending upon the two things thealgorithm is choose. First is Data and second one is target value.·        If you have target value then we willselect the supervised learning.·        If your target value is like A/B/C orYes/No then we will select “classification”.·        And if the target value is numeric thenwe will go far the “regression”.

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·        And if you don’t have any target valuethen go far the unsupervised learning i.e “clustering”. Clustering meansputting the similar type of data together.  Q 2)Write in detailabout the different steps that you will perform to develop the m/c learningalgorithm for a given scenarios?There are followingsteps which is required to develop a m/c learning application.1)Collect a data.2)Prepare a i/p data.

3)Analyze a i/p data.4)Train the algorithm.5)Test the algorithm.

6)Use it. spam detection:For spam detection wechoose decision tree algorithm. Decision tree algo.

Build a tree structure baseon the given training set of data, which is used to classify unlabeled data.for spam detection we use itrativedichotomiser 3 (ID3) algorithm.This algo. Build a decision tree based on entropy and the information gain.Automated Breaking: Automated breaking system is used in self-driving cars. There are three major task that need to beconsider while developing the algorithm the are as follows:·        The detection of anObject·        The Identification ofan Object.·        The ObjectLocalization and Prediction of Movement of the object.

The m/c learning algo. Classify this abovesteps in to following classes. decisionmatrix algorithms, cluster algorithms, pattern recognition algorithms andregression algorithms. Stock market predictionFor the stock-market prediction the regression technique isused.

Suppose we want to compare the bank nifty price affect the canara’s stockprice. In this case the algo. Will take the first 40 days data as a tanning setand last 20 days data as a test data. Recommendations: