# Knn cmu jobs

your task is to test at least 5 different versions of the k-NN algorithm to see how they perform on your data set. There should be at least 5 different runs of each version, each with a different holdout set for testing. One approach to this would be to hold out a different fifth of the data on each run. Another would be to randomly select a holdout set for each run. The size of the holdout set sh...

...consists of terrorism related contents. This part is a final part of image processing. This is to finalize the results after object detection. Preferred classification method is **KNN** algorithm. CSV file is not available at the moment so dummy csv file can be used. Furthermore terrorist images should be predicted correctly and it should be evaluated with the

...for a basic predictive model to predict the outcome of a Kickstarter project before it is uploaded. As it is a classification problem I am looking to implement algorithms like **knn**, naive Bayes and j48. A chunk of work has already been done (that is the algorithms have been written) and I am looking for someone to clear the road blocks and finish the project

...for a basic predictive model to predict the outcome of a Kickstarter project before it is uploaded. As it is a classification problem I am looking to implement algorithms like **knn**, naive Bayes and j48. Most of the work has already been done and I am looking for someone to clear the road blocks and finish the project.
Please reach out to me if you are interested

...training set into a training, validation and test sets
to accurately set the parameters and evaluate the quality of the classifier.
The ML algorithms I am looking for are.
1. **KNN**
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4. Random Forest...

I need structural...need structural drawings based on my design. **CMU** home with partial basement/partial 2nd floor. Garage on grade slab, home with basement and 2nd floor. Garage open to 2nd floor roof. Flat roof with **CMU** parapet wall. First and 2nd floor are concrete on corrugated steel decking. Need foundation plans, **CMU** wall design/engineering.

I have a data mining project I need help with. To do the project, you have to be familiar with **KNN**, Centroid, Linear regression, and SVM classification. Contact me for more details.

Data mining project. Using python to implement **KNN**, Centroid, data handler, etc.

Plotting data, explanatory analysis and some machine learnig algorithm implementation (**KNN**, MLP)

Create and train italian acoustic model based on **CMU** sphinx using a set of 23 given word and audio files pronounced by 9 different speaker. Model should be configured for telephone (8 khz), in order to integrate it in Asterisk with mrcp server.

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4 different algorithms :
1. Multilayer Perceptron Network
2. The Naïve Bayes classifier
3. Classification and Regression Trees (CART).
4. k-Nearest Neighbors (**kNN**).
A. For every algorithm use 10-fold crossvalidation to estimate accuracy.
B. Visualize Dataset with Multivariate Plots and look at the interactions between the variables.
C

...PA. Structural, HVAC & electrical engineering not required. Looking for architectural documents/ drawings only.
The existing building is face brick/ stucco facade with **CMU** back-up, conventional wood trusses, un-insulated with asphalt shingle roofing. See attached photos of existing building. There is approximately 1000SF of shell space that has

I need an expert in machine learning to write a brief description of how neural networks can be design to carr...improve the accuracy. Finally describe an experimental setup which can be setup to evaluate the performance possibly comparing it with traditional ML algorithms e.g. NBC,SVM, **KNN** etc. A sample will be provided. The write is about six pages.

Looking for an expert in R language for a project, needed to be completed as wi...arrhythmia using 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

I need a logo designed for my son. He has a youtube channel and we want to aouce up his logo.

I have a Feature reduction project **KNN** is used for classification I want to change the classification and to Random Forest and SVM. price is negotiable

...optimal feature selection. Since then we also find out some strategies (Decision tree/Association Rules, etc.
Part 3: Machine Leaning and DL Models
1. ML model
• Regression
• **KNN**
• Random Forest
• SVM
• ANN
• Deep Learning (LTSM,HTM, Tensorfow, etc)
2. Evaluation
Part 4: Portfolio Construction/Optimization
• Strategies
• Portfolio Combinatio...

I have data set with and without missing value. I want to develop a code with can estimate missing values using training dataset. It is just a small project.

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

Clustring, compare 3 algorithm type , matlab

I already have an Android app and monthly forecast done. I just need someone to write The code for daily forecast and get the data to be shown on the app. The forecast would be of only one city so no need for detecting user location. The algorithm must be written in python

**KNN** - K nearest neighbors implementation on spark (pyspark)

Build Quantitative trading strategies based on the machine learning techniques to optimal portfolio investment.
Get data from S&P 5...predicted/ probability create some strategies to verify the performance through using Backtest in Zipline.
Basic strategy (MACD, RSI/ Moving Average/ ....)
Machine learning (**KNN**/Random Forest/ ANN, SVM, Deep learning)

Looking for Experienced Python Programmer with knowledge of
Deep learning, Machine Learning, Data Prediction and Visualization.
Task: Must...of
Deep learning, Machine Learning, Data Prediction and Visualization.
Task: Must have good Python experience and able to produce Visualization and perform Prediction using **KNN** from a given dataset.
Thanks.

The need is to create feature vectors of images from mnist dataset and compare results of recognition ratio over methods. Zernike ...create feature vectors of images from mnist dataset and compare results of recognition ratio over methods. Zernike Moments, DCT and LDP methods will be used. For classification, **kNN**, SVM or other algorithms will be used.

I need you to develop some algorithm and software in python. 1. itss need to load two excel file one training and second testing 2. using each column from testing you need to run k-nn algorithm and find which category it fall, bare it mind, training has 12000 column to run against each column in testing 3. find k-nn and determine the category 4. from testing figure out the category its a urgent ...

Hi,
I need someone who has experience in NLP focussing on the following algorithms -
1. Decision Trees
2. **KNN** Chain/ Pair Selection Networks
3. ANN/ CNNs for multivariate classification
4. fuzzy clustering

k-nearset algorithm impementation using weka.I will discuss the details over chat.

Input signal will be five letters, let's say A, B, C , D, E....Create a training pattern of about 50 samples & then extract LPC & MFCC features of it & then detect it using **KNN** classifier

Input signal will be five letters, let's say A, B, C , D, E....Create a training pattern of about 50 samples & then extract LPC & MFCC features of it & then detect it using **KNN** classifier

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

Machine learning and matlab expert required. who has knowledge of **KNN**, NB and SVM etc.. I will share the details via pm...
Just explanation task
Urgent : just 2 hours

...descriptor or algorithm SURF and SIRF and train data .
My Q or problem is i don’t know how to call image from my folder to test image matching and doing classifiers like SVM, **KNN** etc..
So can you help in a 5 day please? ...

...descriptor or algorithm SURF and SIRF and train data .
My Q or problem is i don’t know how to call image from my folder to test image matching and doing classifiers like SVM, **KNN** etc..
So can you help in a 5 day please? ...

...descriptor or algorithm SURF and SIRF and train data .
My Q or problem is i don’t know how to call image from my folder to test image matching and doing classifiers like SVM, **KNN** etc..
So can you help in a 5 day please? ...

**KNN** etc..
So can you help in a 5 day please? ...

**KNN** etc..
So can you help in a 5 day please? ...

**KNN** etc..
So can you help in a 5 day please? ...

**KNN** etc..
So can you help in a 5 day please? ...

**KNN** etc..
So can you help in a 5 day please? ...

**KNN** etc..
So can you help in a 5 day please? ...

**KNN** etc..
So can you help in a 5 day please? ...

**KNN** etc..
So can you help in a 5 day please? ...

**KNN** etc..
So can you help in a 5 day please? ...

Use machine learning algorithm to analyze/make prediction from a data set.
I need 4 data mining algorithms in R for: **knn**, naive bayes, logistic/linear regression, C5.0 for a data set I will provide.
Max 60 euro

Use the attached train and test data set, build the classification models based on the training set, and evaluate the...models based on the test set. Compare the accuracies to tell which model is the best one.
In terms of the classification techniques, you should utilize logistical regression, **KNN** classifier, and Naïve Bayes classifications. Use R

Implement **KNN** algorithm on Castalia/Omnetpp.
The implementation should be with comments.
The RSSI values from RFID tags are used with triangulation to get the coordinates. The RSSI values can be obtained from path loss model using C++ code, then inserted to Omnetpp/Castalia. The learning data can also be obtained outside the simulation software.

implement **KNN** algorithm by creating a network on Matlab and simulate, A GUI simulation?
kindly bid if only you have experience on this work

Implement **KNN** algorithm on Castalia/Omnetpp.
The implementation should be with comments.
The RSSI values from RFID tags are used with triangulation to get the coordinates. The RSSI values can be obtained from path loss model using C++ code, then inserted to Omnetpp/Castalia. The learning data can also be obtained outside the simulation software.