# Knn cmu jobs

Java programmer needed to implement an algorithm that used **KNN** and Apriori to generate concept maps.
The deliverable is a Java program that executes an algorithm that automatically generates concept maps.
The algorithm is done already in a research paper (attached), however, we need it to be implemented by Java. The dataset will be provided by us.
The

check training and testing on datasets for 3 classifiers and make sure there is not overfitting or underfitting case. I'm using logistic regression, random forest and **knn**. i have the codes that i have done, i want the code edited/corrected if have any wrong flows. i want to do for 5 fold cross fold validation for all classifier. Do try for 10 fold also

salut voila les modules que je voudrais bien implémenter pour le projet MODULES Data Owner Module Data User Module Cloud server and Encryption Module Rank Search Module et en ce qui concerne l'environement de développement operating systeme : windows Coding Language : Java Tool : ...

implement Binary Search Tree in C++ and KD Trees in C++. In BST part of the assignment, you will implement the fundamental BST operations using concepts from the C++ Standard Template Library, which includes writing an iterator for it. For more details please read PDF files called [login to view URL] in the zip folder. Also, All starter code are in the zip folder.

OSNR is output if u can read the file and rest are featured i guess check the attached file

...predict discrete responses
1. Regression techniques predict continuous responses
2. Binary vs. Multiclass Classification
3. Support Vector Machine (SVM)
4. k Nearest Neighbor (**kNN**)
5. Naïve Bayes
6. Discriminant Analysis
7. Decision Tree
8. Bagged and Boosted Decision Trees
9. Multiclass Support Vector Machines
iii. Cross Validation
iv. Creating Dummy

Consists of checking out a small data set, loading the data properly.
Then add a few new variables.
Then perform different logistic regressions and **knn**-model,.
These models should be validated "using 10-fold cross-validation, repeated 5 times, with the area-under-the-ROC-curve metric (the ROC statistic in caret). Where appropriate, select the best settings

I am working in PSO for feature selection. I use **KNN** algorithm with 10 cross validation for the evaluation. before I use the 10cv the algorithm is quite cheap meaning no high computational cost has been faced, but after turning to 10cv the code is running too slow, sometimes for days. may I know if there is any problem in performing the 10cv. I use

I have a dataset for Credit Card transactions. I would like to test three machine learning classification algorithms to detect fr...Card transactions. I would like to test three machine learning classification algorithms to detect fraudulent transactions.
1- Logistic Regression
2- Naive Bayes Classifier
3- **kNN** Classifier
contact me for more details.

I have a dataset for Credit Card transactions. I would like to test three machine learning classification algorithms to detect...transactions. I would like to test three machine learning classification algorithms to detect fraudulent transactions.
1- Logistic Regression
2- Naive Bayes Classifier
3- **kNN** Classifier
The datasets are posted online.

Want to implement **KNN**, SVM and PNN algorithm with and without PSO using Matlab code. Data set will be provided.

My project is to predict stock price using k-nearest neighbor algorithm.

I need to simulate a vanet senario which has **knn** classifier involved

Fairly large high end residential project trying to keep the construction cost down by using a concrete contractor for all structure (foundation floors walls). Looking for someone with concrete structural design with cast in place and/or pre-cast panels.

...and it is 4 stories. Main level, 2nd level, 3rd level, and fourth level.
It should be metal framed with all metal windows and doors. The staircase needs to be metal with 8" **CMU** with brick veneer finish on the outside. 1" air space on inside w/ 3.5 metal studs, 5/8" thick GWB, and full thickness batt
As of right now all I need is the foundation (footers

Use naïve Bayes, **kNN** and SVM algorithms and compare results.
Data set attached

...along with photos of the existing structure. The exterior must have exposed beams as per the renderings. The following criteria must be included. The existing building has a **CMU** stem wall perimeter which will be adjusted for the new front elevation. There is also a central bearing wall that the client wishes to remove. We anticipate using a truss package

I am in need of someone who can give me live tutorial on python and following...of equations and linear algebra problems.
- Pandas, Matplotib
- Simple linear Regression, Multiple Linear Regression.
- Logistic Regression, Naïve Bayes.
- Decision Trees, **KNN**, SVM clustering.
I can manage time from morning till night so am flexible with time schedules.

Implementation of an Interval-Tree ( [login to view URL] )in Scala language, supporting the following features: Build, Insert, Delete, Updat...an Interval-Tree ( [login to view URL] )in Scala language, supporting the following features: Build, Insert, Delete, Update, Searching (Similarity and **kNN**) Query.

I am in need of someone who can give me live tutorial on python and following...of equations and linear algebra problems.
- Pandas, Matplotib
- Simple linear Regression, Multiple Linear Regression.
- Logistic Regression, Naïve Bayes.
- Decision Trees, **KNN**, SVM clustering.
I can manage time from morning till night so am flexible with time schedules.

...specific phrases in a language A (english for ease but then I want to use polish with the same approach) to "similar" phrases. NOw, I'm guessing this will be UNSUPERVISED and **KNN** clustering related but would need more help :) This model has to be able to learn continuously on new phrases and be able to come up with new "cluster kernels" ie. figure out

Deliverables:
1. Detail manufacturing drawings (source file & pdf).
2. Detail barlist (source...The barlist is usually done in SHEAR97 but we are open to other alternatives.
The construction elements usually detailed are beams, footings, slabs, and rebar for masonry, **CMU**, and paving.
We will be happy to provide example files after a brief interview.

I need to find a baby database sound cry and then do feature extraction on those audio using MFCC. After that, the dataset will be classify using any suitable classifier to categorized either the baby cry is sleepy, hungry, discomfort, etc..

Main Goal:
Identify a model with an improved accuracy. The model will combine multiple techniques (using ensemble techniques). ...Regardless of the approaches, the techniques can be chosen randomly.
• Min techniques: 3
• Same technique can be used more the once: e.g., 2 svm
• Preferable techniques: Kernel SVM, **KNN** and NN.
Deadline:
One month.

Machine Learning using **kNN**.
- Test and training data. Read from excel and do a prediction of the classification and update it back to excel
- Confusion matrix, classification model and normalisation method needed
Budget: SGD$50 to SGD$100

You are going to analyze the data of a retail store. Analyze it and predict what can be done with this data.
Tools:
Jupyter Notebook
Pyhton
Algorithms:(Choose any of these)
**kNN**, Support Vector Machines, Decision tree, Neural Network, Linear regression.
Deliverable:
A complete Notebook(.ipynb)

...achieve the following machine learning algorithms: (1) ID3; (2) Adaboost on Tree Stumps; (3) Random Forest; (4) Naïve Bayes; (5) Bagging with naïve Bayes; (6) K-nearest neighbors (**kNN**) with two different distance functions.
1. Implement the six algorithms using Java.
2. Evaluate your implementation on the datasets in [login to view URL] using 10 times 5-fold

I need help with some simple R coding, you must understand logistic regression, SVM, **KNN**, Classification tree and random forest.
I have some code and a dataset that you need to look at.
Please mention that you read this text and you can help me get my code fixed.
Thanks,

Using ANN **KNN** KMeans Decision Tree SVM algorithms do the classification

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**
[login to view URL]
[login to view URL] Tree
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.

...[login to view URL]
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