# Naive bayes model excel jobs

Need to translate English to Tamil..long term project . Only **naive** Tamil speaker please...only manual translation... urgent

...g)
- Sentiment analysis approaches (Machine learning and Lexicon-based. please note that I'm using Machine learning supervisor approach: SVM (Support Vector Machines), Naïve **Bayes** Classifiers and Random Forest Classifier. so you have to show also why this approach used in the work at the end) - please use charts, tables and etc to explain the approaches

Looking for an expert in R language for a project, needed to be completed as withing 2 days, the...MIT-BIH Database available on Kaggle,
this is a small project, will take someone like you 1-2 days, I will give you the link to the dataset, U need to apply KNN, SVM, Naives **Bayes**, Random Forest, and finally a comparison of accuracy between these models

To implement **Naive** **bayes**, Decision trees, svm, k-means and Gaussian mixture models algorithms on 2 datasets without using inbuilt functions in R language and finally calculate accuracy, sensitivity, precision for those prediction algorithms.

We require services of a native english speaking newbie freelancer who has an aptitude to work analytically on a variety of gigs that include surveys...require services of a native english speaking newbie freelancer who has an aptitude to work analytically on a variety of gigs that include surveys. Please only apply if you are a **naive** English speaker.

Looking for help on R Progr...R Programming to develop Time Series models. It will be individual contributions to develop predictive models, where for specific data set, need to build models in Prophet, **Naive**, Arima, LSTM etc., Need to include holidays as external regressors.
Will provide sample data for these sales channels to enable the prediction.

I require a Java command line program that can perform text classification (binary) using **Naive** **Bayes** (maybe include TF-IDF if possible).
This is very similar to a Spam Filter (i.e. Ham or Spam). Here are several examples
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...that I have a pretty big database(~15k), and I can't just use something like regex simple algorithms(cause sometimes Cheese could be written as "Ch.")
My thoughts are going to **Bayes** or Neural algorithms, but my Knowledge of Programming isn't enough
The data mainly on Russian, sometimes some English
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...NLP/ML/SQL Developer
Experience working with any of the popular NLP libraries: OpenNLP, StanfordNLP, NLTK, etc.
Familiar with some popular machine learning methods: K-Means, **Naive** Bayesian, Support Vector Machines, Maximum Entropy
Develop and perform text classification using methods such as logistic regression, decision trees, support vector machines

I am developing a chatbot with using neural netwrok and halfly done . i have created a neurel network **model** for gain responses using tenserflow. I need to develop this same chat bot with seq to seq **model** or RNN **model** with using tenserflow and **naive** bays algorithm or any other algo. If anyone interested contact me.

I'm from India looking for expert many people I hired previously but no one having full knowledge of any work. Only serious people wh...Only serious people who did marketing and done dropshipping apply for hiring,
I want to know about how I can do FB videos without hiring any **model**, another aspect to get the good sale.
ONLY EXPERTS REQUIRED NO **NAIVE**.

I would like to do SVM, **naive** **bayes** and KNN using some tagged data. Data set is very small. R or python preferred.

...learning algorithm. I need some one to develop a system which d-identifies patient names, place names, dates, gender, Age. This should be done using **Bayes** Classifier and training with N-gram statistical language **model**. Generation of keywords, then clustering keywords into semantically related clusters namely: Symptoms, Diagnosis,Assessment(Conclusions),Treatment

I need you to develop some software for me. I would like this software to be developed for Windows using Java. ...developed for Windows using Java. I need a Windows application that helps companies in doing financial statement comparison and financial forecasting for the future using **Bayes** algorithm.
More details will be given to chosen freelancer.

Hello
Need native slovak person to translate 18000 words from English to Slovak. Only **naive** people apply

I have written a bit of simple python code in Jupyter Notebook to grab tweets and classify their sentiment... Have a bug in the code somewhere + my SVM Classifier is classifying all test data as positive. For an experienced person in the field, this will barely take 15mins. All I need is for you to point out where the bug, and pointers to fix it.

classification : NN, K-NN, SVM, MLP, **Bayes**, K-mean
Clustering : K-mean , fuzzy K-mean
Feature section : PCA, LDA,ICA
or other techniques on Machine Learning

General Objetive
Sort twitter profiles using political ideology, with Naïve **Bayes**
Specific objectives
Obtain information from twitter profiles using the NodeJS application deployed in Azure (Web App), preventing the Twitter API from censoring the information or delivering it incomplete.
Clean information, identify profiles of Ecuador and, as much as

I'm looking for UI/UX developer for my React-Native app.
Main functions are implemented but only UI/UX.
You are need to be skilled in how to customize UI component in React **Naive**.
And, also you will implement my design to skin my app.
It is developed in React-Native.
I want to meet a good developer who can work with me in many projects.
Honest, and Humanity

I'm looking for UI/UX developer for my React-Native app.
Main functions are implemented but only UI/UX.
You are need to be skilled in how to customize UI component in React **Naive**.
And, also you will implement my design to skin my app.
It is developed in React-Native.
I want to meet a good developer who can work with me in many projects.
Honest, and Humanity

Hi,
I want someone who can create Web Crawler and Do Sentiment Analysis using **Naive** **Bayes** Algorithm as i have very short time must be done within 12 hours and also generate report of that analysis

You need knowledge in machine learning/k-means clustering/ **Naive** **Bayes**/and must know how to use Jupyter notebook. Please only apply to job if you have excellent English language skills. I will provide more details about job.

...to detect spam messages in Push notification of up to 144 characters in length.
To train the **model**, I should be able to upload a .csv file which contains two columns: a sample text and the classification (similar to IBM Watson NLC). Although the **model** will primarily be used to detect spam, it should also be able to detect other classifications of

I'm looking for someone to help work on a Machine learning algorithm using **naive** **bayes** to help classify a set of data float values from 0-1

Hi!
We need some writer who will write super quality articles and blogs for...quality articles and blogs for us. If writer happy us for his great work then we will hire him/her as a regular writer. Must be a qualified writer needed for this project. Only **naive** English speaker are granted to place bid on this project. No time waster please. Thank you.

I am conducting ...flows while being able to set targets. I would like to be able to define the targets in the script and know how many years it will take to achieve. I am currently using the **naive** method of forecasting for simple projections but want to make the tool more useful by being able to change scenarios and look at various forecast outcomes.

Very easy project for someone well versed in machine learning should not take more than an hour. You need to implement a simple **Naive** **Bayes** classifier using the Bernoulli **model**. No preexisting libraries are to be used except NumPy which may be used where needed. Data set is provided.
Please contact me as soon as possible if you fit the bill.

Creation of a **naive** style illustration of a bird the Straw-tail (the phaeton) which carries 4 children: an Indian, an African, a Chinese, a European, above the island of Reunion with tropical colors.

to develop a working **model** of a **naive** **bayes** classifier and then train it with a dataset so that when the user send the input of what he wants to find the he should get a reply

**Naive** **bayes** classifier in Java. More details to be provided.

I need a freelancer to help me do this.

I have a data analysis task. Analyze any dataset in r using niave **bayes**, knn, glm, lm, trees, etc and analyze which algorthm worked the best. Thats all

to implement Naïve **Bayes** Classifier in Matlab and apply it on the aforesaid problems for classification

[login to view URL] needs an ios app to view the news for some apple users.

build an **naive** ios app for view website [login to view URL] and get it published officially at apple store.

Word Sense Disambiguation (WSD) is the task of id...given a context. Table 1 shows an example for the word "pen".
**Naive** **Bayes** (NB) classiers is one of the best methods for supervised approach for WSD.
We try to choose correct sense of a word (e.g. "pen") in this assignmen by using **Naive** **Bayes**
Classier. (You must implement the Nave **Bayes** Cl...

Word Sense Disambiguation (WSD) is the task of id...given a context. Table 1 shows an example for the word "pen".
**Naive** **Bayes** (NB) classiers is one of the best methods for supervised approach for WSD.
We try to choose correct sense of a word (e.g. "pen") in this assignmen by using **Naive** **Bayes**
Classier. (You must implement the Nave **Bayes** Cl...

**Naive** **Bayes** (NB) methods have been used for classication task. For word sense disambigua-
tion, the context in which an ambiguous word occurs is represented by a vector of feature
variables F = (f1; f2; ; fn) and the sense of the ambiguous word is represented by classi-
cation variables (s1; s2; ; sk). Choosing the right sense of the

Word Sense Disambiguation (WSD) is the task of id...given a context. Table 1 shows an example for the word "pen".
**Naive** **Bayes** (NB) classiers is one of the best methods for supervised approach for WSD.
We try to choose correct sense of a word (e.g. "pen") in this assignmen by using **Naive** **Bayes**
Classier. (You must implement the Nave **Bayes** Cl...

Project is evaluate the performance of the Full **Bayes** classifier.

Word Sense Disambiguation (WSD) is the ta...identifying which sense of an ambiguous word given a context.
**Naive** **Bayes** (NB) classifiers is one of the best methods for supervised approach for WSD. You try to choose correct sense of a word (e.g. ”pen”) in this project by using **Naive** **Bayes** Classifier. (You must implement the Native **Bayes** Classifier)

3. Generate samples from two multivariate normal densities N(μi,Σi),i = 1,2, and calculate the **Bayes**’ optimal discriminant for the four cases in table 5.1.

**Naive** **Bayes** (NB) classiers is one of the best methods for supervised approach for WSD.
We try to choose correct sense of a word (e.g. "pen") in this assignmen by using **Naive** **Bayes**
Classier. (You must implement the Nave **Bayes** Cl...

Word Sense Disambiguation (WSD) is t...identifying which sense of an ambiguous
word given a context.
**Naive** **Bayes** (NB) classifiers is one of the best methods for supervised approach for WSD.
We try to choose correct sense of a word (e.g. ”pen”) in this assignmen by using **Naive** **Bayes**
Classifier. (You must implement the Na¨ıve **Bayes** Classifier)

Using Matlab , screenshot for output .
1- Generate a sample from a multivariate normal density N(μ,Σ), calcul...with μ and Σ. Check how your estimates change as the sample size changes.
2. Generate samples from two multivariate normal densities N(μi,Σi),i = 1,2, and calculate the **Bayes**’ optimal discriminant for the four cases in table 5.1.

Using Matlab , screenshot for the output .
1- Generate a sample from a multivariate normal density N(μ,Σ), ca...with μ and Σ. Check how your estimates change as the sample size changes.
2. Generate samples from two multivariate normal densities N(μi,Σi),i = 1,2, and calculate the **Bayes**’ optimal discriminant for the four cases in table 5.1.

developing **naive** **Bayes** classification algorithm

Word Sense Disambiguation (WSD) is t...identifying which sense of an ambiguous
word given a context.
**Naive** **Bayes** (NB) classifiers is one of the best methods for supervised approach for WSD.
We try to choose correct sense of a word (e.g. ”pen”) in this assignmen by using **Naive** **Bayes**
Classifier. (You must implement the Na¨ıve **Bayes** Classifier)

Needs a project of 5 thousand words. The data is there which needs to be interpreted.