### 10 Algorithms Machine Learning Engineers Need to Know

Want to know the most commonly used algorithms which can be applied to any data issue? Here's the list.

train a data set consisting of weather data and when some new set is sent by the user then the probability should be sent for the event to occur or not

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...sampled independently from an identical distribution. A popular
machine learning approach to text classification is Naive **Bayes** model which tries to predict the probability
of text (x) belonging to a class (y), p(y|x), using the **Bayes** theorem. It assumes the class conditional
distribution p(x|y) to be independently and identically distributed across the

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technical writing for naive **Bayes** classification in R

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Project Documentation
15h left

My project title is TWITTER SENTIMENT ANALYSIS OF CAR BRANDS USING NAÏVE **BAYES** ALGORITHM.
I need a project documentation with 50 pages including the contents from the index pages I have attached below.
UML diagrams and Architecture diagram are also required.
I am also attaching the abstract.
I can send the code, ouptut and screenshots.

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Help me write something
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I need you to write a research article. I am working on a project called twitter sentimental analysis using naive **bayes** algorithm I need the documentation to be done for this project which includes uml diagrams,architecture and modules.

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[url removed, login to view]
Problems[show]
Supervised learning
(classification • regression)
[hide]
Decision trees Ensembles (Bagging, Boosting, Random forest) k-NN Linear regression Naive **Bayes** Neural networks Logistic regression Perceptron Relevance vector machine (RVM) Support vector machine (SVM)
Clustering[hide]
BIRCH CURE Hierarchical k-means Expectation–maximizatio...

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Building a URL classifier using DMOZ data, using python and the naive **bayes** algorithm

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...tweet.
2] to create csv file of collected tweets and their original sentiments.
3]to perform preprocessing and feature extraction to use two different classifier Naive **Bayes** and RNN and store results seperately.
4] main thing is when to find out features of tweets so to check any tweets contains words from dictionary. if contain so find out features

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...dictionary and collect words for which topic search for tweet.
2] to create csv file of collected tweets and their original sentiments.
3] to use two different classifier Naive **Bayes** and RNN and store results seperately.
4] main thing is when to find out features of tweets so to check any tweets contains words from dictionary. if contain so find out features

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Need help in in statistics, machine learning ,naive **bayes** and R programming2

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I am taking CS 498: Applied Machine Learning (MASTER LEVEL COURSE ) .
naive **bayes** expert
R expert
I NOT understand some material taught in the class.
Also homework ,(i don;t understand)
I look for very smart tutor .
[Removed for encouraging offsite communication which is against our Terms and Conditions -Section 13:Communication With Other Users]

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I am taking CS 498: Applied Machine Learning (MASTER LEVEL COURSE ) .
naive **bayes** expert
R expert
I NOT understand some material taught in the class.
Also homework ,(i don;t understand)
I look for very smart tutor .
(Removed by Freelancer.com Admin)

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...be used as a training data to test the sentiment of tweets gathered by hashtag.
2)naive **bayes** or support vector machines (producing features) could be edited to better analyze the sentiments (increase in accuracy).
As an example 60% accuracy rate of naive **bayes** could be raised to 80%accuracy by hybrid method.
For questions skype id: ikibinonsekiz_1

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Hi,
I did a classification in R with a multinomial Naive **Bayes** and an SVM. I need somebody how can evaluate my code. I have the feeling that something is wrong with it.

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Need someone to edit a **Bayes** Network for an engineering project.

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i need 1-1 consultation to get fix my naive **bayes** code. looking for people that have knowledge in natural language processing.

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Make naive **bayes** spam classifier using matlab. Preprocessing would be done(removing html tags etc..). Everything described in txt file. Bag-of-words technique must be used. Needs to be done by tommorow night.

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Azure machine learning - creat excel template that can be used with Azure calculated feature weights to score new rows of data.
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VERIFIED

...variable which is a classifier of 0 or 1. Azure machine learning tells me the feature weights of the two variables, and the bias, using two class logistic regression and two class **Bayes** point machine. Is it possible to create a spreadsheet template in excel that will score new rows of data using this information without the need to put it through azure. I am

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I want a opencv c++ code for pedestrian detection using HOG+LBP feature extraction methods and cascaded naive **bayes**+svm classifiers as soon as possible..contact-8638057147

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Want to know the most commonly used algorithms which can be applied to any data issue? Here's the list.

This guide is intended for anyone who has a text problem they want solved