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    694 pca knn matlab travaux trouvés au tarif de EUR
    MNIST data set (SVM +PCA) S'est terminé left

    I want to improve the results of my code on matlab, I'm testing svm on MNIST data set

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    Création/design : bon de commande / bon d'envoi. A remplir par le client. Simple, fluide, design. Pour le logo de la société, ecrivez simplement PCA

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    15 offres
    Project for Aziz Berkay Y. S'est terminé left

    ...separate config file as well. For feature selection this could be the type of feature selection, how to replace NaNs and zero. Two exemplary feature selection methods as RFE and PCA should be implemented, together with plots. For crossvalidation the parameters of the function should be the number of folds, and if stratified for a certain feature or not.

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    1 offres
    Project for Farooq S. S'est terminé left

    ...separate config file as well. For feature selection this could be the type of feature selection, how to replace NaNs and zero. Two exemplary feature selection methods as RFE and PCA should be implemented, together with plots. For crossvalidation the parameters of the function should be the number of folds, and if stratified for a certain feature or not.

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    1 offres
    Project for Alexandru D. S'est terminé left

    ...separate config file as well. For feature selection this could be the type of feature selection, how to replace NaNs and zero. Two exemplary feature selection methods as RFE and PCA should be implemented, together with plots. For crossvalidation the parameters of the function should be the number of folds, and if stratified for a certain feature or not.

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    1 offres
    Project for Xiaogang S. S'est terminé left

    ...separate config file as well. For feature selection this could be the type of feature selection, how to replace NaNs and zero. Two exemplary feature selection methods as RFE and PCA should be implemented, together with plots. For crossvalidation the parameters of the function should be the number of folds, and if stratified for a certain feature or not.

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    Python and Machine Learning S'est terminé left

    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.

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    Implementation of an Interval-Tree ( [se connecter pour voir l'URL] )in Scala language, supporting the following features: Build, Insert, Delete, Updat...an Interval-Tree ( [se connecter pour voir l'URL] )in Scala language, supporting the following features: Build, Insert, Delete, Update, Searching (Similarity and kNN) Query.

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    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.

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    The objective of this work is to link the ripening behaviour of avocadoes to non-destructive and destructive measurements of 'initial' qua...made to enable prediction of the ripening behaviour of tropical fruit like avocado based on initial quality measurements. You have to be able to do data fitting in Matlab and perform PCA in Unscrambler-x or SPSS.

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    ...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

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    ...review and correct 3 scripts for facial recogntion that use KNN, SVM and Fuzz Artmap. We'll give you the database and obviously the 3 scripts. We'll need you to give us the 3 working programs. Se requieren revisión y corrección de 3 scripts para reconocimiento facial que usan las técnicas KNN, SVM y Fuzzy Artmap. Se proporcionará la base de ...

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    I make some analysis but these are just to know the data and some linear models. But my teacher wants me to do factorial analysis and principal component analysis. I just need R codes and outputs. Thats all. I uploaded what i do. And i also uploaded an example of last year project. You can find in there the analysis& some codes.

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    I need to use PCA To Reduce Features to 2 Dimensions. I will provide more details in the chat.

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    I need change in R script. S'est terminé left

    Hi I have a script written in R about business analysis using PCA and need some changes. And after change, need to write a report. Who has MSc degree in mathematics will be considered. The sooner, the better. If you can communicate in Chinese that would be a plus. New freelancers are welcome.

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    matlab code S'est terminé left

    ...channel to zero (i.e., remove the mean of the signal from each channel). 4. Use PCA to reduce the noise (mainly ongoing EEG noise) from each VEP signal. Use 95% variance measure to select the appropriate number of principal components. You may use Matlab functions pca and pcares. 5. Since P300 responses are band-limited to 8 Hz, filter the VEP signal

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    matlab code sp S'est terminé left

    ...channel to zero (i.e., remove the mean of the signal from each channel). 4. Use PCA to reduce the noise (mainly ongoing EEG noise) from each VEP signal. Use 95% variance measure to select the appropriate number of principal components. You may use Matlab functions pca and pcares. 3 5. Since P300 responses are band-limited to 8 Hz, filter the VEP

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    cognitive system of identification of parkinson's disease (Using Python - Principal component analysis(PCA) , Feature select and logistic regression) Have to identify parkinson disease and classify the patients into healthy and unhealthy patients using data sets from uciml repository. For more information, refer to the level 1DFD diagram.

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    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..

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    I have some GL vs PCA and custom report error Looking for someone to support

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    ...data scientist expert in the following topics: (should understand academically projects) Supervised and unsupervised learning Classification, Principal components analysis PCA, Clustering Linear regression Classification: LDA, QDA Cross-validation Model selection and regularization Decision trees Support vector machines Boosting, Support vector

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    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.

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    Easy task in python S'est terminé left

    Guys I'm learning python and I want to understand how the statistical models are applicable. I will pick a dataset and then a ...better how the machine learning works: 1) clean the dataset 2) use the following models: logistic regression, cross validation, random forest (supervised learning) 3) Then do a PCA / cluster analysis (unsupervised learning)

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    using Scikit-learn and CoLab cloud service provided by Google for the development and training of ML algorithms. The project isn't hard at all any expert would be able to make it within an hour max. Please approach me for complete info about it and a reasonable offer for it

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    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

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    Shape Recognition. S'est terminé left

    ...must found it what's already done is: calculate the fourier transform of the iamges + the parameters of forms (7 parameteres) + divide the images into two subsets and make PCA and a bayesian classification and in the end one must find a percentage of months 90% an image must be in the beginning subassembly all you are going to do is: just add this

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    Shape Recognition S'est terminé left

    ...must found it what's already done is: calculate the fourier transform of the iamges + the parameters of forms (7 parameteres) + divide the images into two subsets and make PCA and a bayesian classification and in the end one must find a percentage of months 90% an image must be in the beginning subassembly all you are going to do is: just add this

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    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)

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    machine learning algorithm S'est terminé left

    ...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 [se connecter pour voir l'URL] using 10 times 5...

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    We are conducting competitor study and analysis, we want to know if our marketing message is focused around certain target audiences or highly spread out, and which are brands who are good at having focused marketing messages. We would like to hear the dimension reduction analysis method you have in mind as well as the type of survey we will need to conduct in order to make this analysis a succes...

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    NMIST image Matlab S'est terminé left

    The project requires to use PCA, LDA, SVM and NN techniques on NMIST images.

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    Help with r programming S'est terminé left

    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,

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    proyek analisis s...klasifikasi menggunakan deep belief network untuk mencari akurasi presisi recall dan f1 pengelommpokan dengan k-means data dibandingkan dengan algoritma lain seperti naive bayes/KNN untuk klasifikasi detail hubungi [Removed by Freelancer.com Admin - please see Section 13 of our Terms and Conditions] aries jakarta, waktunya mepet

    €220 - €660
    €220 - €660
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    ...to mine the data to identify groups (clusters) of items based on what attributes they have in common. I envision turning those common themes into one-hot vectors, running a PCA on them, then feeding that into a Kmeans algorithm. It's ok to use Scikit-learn, this is just a prototype. The output has to be the (1) initial dataset with common themes as

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    Data Analysis in Matlab S'est terminé left

    Hey, I have .mat data file and I need PCA analysis and linear algebra to perform basic analysis on some experimental data collected from neurones In brief, I need visualization of some power spectra, obtaining the cross-correlation of data and applying Principal Components Analysis.

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    Using ANN KNN KMeans Decision Tree SVM algorithms do the classification

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    Hi there, I need some one to explain to me C# sharp with Principal component analysis (PCA) codes in a software in 1-2 hours , this software is a small project using face recognition to log in the system . I have basic knowledge in programming and 1-2 hours will be enough to understand the whole project

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    Project for Lamiae E. S'est terminé left

    Hi Lamiae E., I noticed your profile and would like to offer you my project. We can discuss any details over chat. The project is related to PLS regression, Multiv...noticed your profile and would like to offer you my project. We can discuss any details over chat. The project is related to PLS regression, Multivariate EWMA and Tensor PCA using Matlab.

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    KNN ALOGORITHM - PYTHON S'est terminé left

    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...

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    Bulid a Prediction module S'est terminé left

    ...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

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    ...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

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    Building a predictive model S'est terminé left

    ...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

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    ...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 [se connecter pour voir l'URL] [se connecter pour voir l'URL] Tree 4. Random Forest...

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    Data mining project S'est terminé left

    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.

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    Web development S'est terminé left

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

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    PVA CREATOR EXPERT S'est terminé left

    I need a PCA CREATOR expert to use the program and export jobs for us. You should already own the program and have used it a lot. I will explain the jobs in need in the chat. Only bid if you have used PVA CREATOR before and and have a copy of it. Bid only $100 on this job or you will not be accepted because you didnt read the project!!

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    Trophy icon Beauty Product Label S'est terminé left

    ...finger tips. Rinse completely with lint free towel or just water INGREDIENTS: WATER COCAMIDOPROPYL BETAINE, DECYL GLUCOSIDE, POLYSORBATE 20, GLYCERN PANTHENOL, SODIUM PCA, SORBITOL, ALOE BARBADENSIS LEAF EXTRACT CUCUMIS SATIVUS, FRUIT EXTRACT CAMELLIA SINENSIS, LEAF EXTRACT PUNICA GRANATUM, EXTRACT ANTHEMIS NOBILIS, PHENOXYETHANOL, ETHYLHEXYLGLYCERIN

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    Garanti
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    A project in python, jupyter S'est terminé left

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

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    I need to submit an assignment on HJM model and pricing a swaption based on it. The model needs to be implemented in C++ using initial yield curve data from FED. After the PCA calibration, an example swaption needs to be priced based on the model. The math and c++ code needs to be provided in a step-by-step manner. I am a student and the price can be

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