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    1,457 svm classifier matlab code download δουλειές που βρέθηκαν, με τιμές EUR

    ...algorithms: try various machine learning algorithm. We mainly focus on supervised learning algorithms. Random Forest algorithm, Support Vector Method (SVM), Decision Tree algorithm and MLP classifier Improving the algorithm implemented: test various algorithms and improve it by testing it on different data sets. 1. Which features or combination of features

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    Purpose: Use LexNLP ([κάνε είσοδο για να δεις το URL]) and its word2vec models to train a classifier capable of classifying clauses among broad types. For this specific example, we will be training it to identify so-called "Force Majuere" clauses. Samples of the ...

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    Python NLP (Natural Language Proccessing) up to 200$ 23 ώρες left
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    automatic arabic broken plural detection using Naive Bayes classifier

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    Data Science Project Trainer 21 ώρες left
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    You must have a Basic real-world SVM using Python project preferably Banking or Healthcare sector in hand with you. My employee is familiar with Jupyter Notebook, Python, Sklearn, Pandas, Numpy & Matplotlib. Your job is to explain following: 1. You will do the project & explain to him. What each line of code is doing. 2. Explain the result & output

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    research project1 Έχει λήξει left

    Brain tumor classification using Big data environment and SVM

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    research project Έχει λήξει left

    Brain tumor classification using big data environment and SVM.

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    ML + CNN Project Support Έχει λήξει left

    Supervise the Building of a classifier which to detect a particular feature in an image. You should be familiar with ML, AI, CNNs, F-CNN and M-CNN

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    Python and Machine Learning Έχει λήξει left

    I am in need of someone who can give me live tutorial on python and following th...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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    I am in need of someone who can give me live tutorial on python and following th...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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    word2vec task Έχει λήξει left

    Complete word2vec with classifier from pdf files within three days.

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    ROC curve analysis Έχει λήξει left

    hi i have a confusion matrix ou...positive, and False negative) and accuracy from Naive Bayes classifier that built to classify the normal and attack instance in a data set. i would like to analyze that results by using ROC curve and AUC with determination all thresholds and define the optimal threshold to asses the classifier performance. thank you,

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    ...section and then classify each sentence according to the 8 emotion classes(Joy,Sad,Anger,Surprise,Fear,Disgust,Love,Neutral). This has to be done manually. [I'm doing emotion classifier for movie synopsis for that I want dataset from imdb synospis (senetence) and then save it to a excel file ]. Mostly I want to identify the emotion in each sentence and I

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    Project for Ioannis D. Έχει λήξει left

    Hi Ioannis D., hope you are doing well. I want a scikit implementation of random forest, with crossvalidation. The code should just be written in a way that random forest could be replace with any other basic scikit algorithm (say SVM). Are you available?

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    email spam/ham Έχει λήξει left

    ...to test their accuracy and prediction score using classification matrix which can tell which algorithm gives better score. Algorithms can be of type: 1. Neural network 2. SVM 3. Random Forest 4. Others which can work well on this dataset. For the above mentioned goal, we will be following below mentioned steps to fulfill each of the goals: 1. Exploring

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    ...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 datos c...

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    This project is to analyze data and generates a rule to classify that data. For example, given 5 features, the classifier should determine whether this entity is of this class or not. So it is a binary classification. Example: If (X1 >30 Or X2< 15 and X3 >10) then this entity of class 1 otherwise it is not. MOEA framework should be used. MOEA framework

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    We will, first of all, need to improve the last project [1]. The Co-Variables classifier system. The requirements are as follows: 1. Shift Covariables Window; 2. Remove Image ID Suffix; 3. Read/Write Co-Variables Dynamically; For the (1) issue, from the User Test and Analysis 6 (UTA6), the presented issues of the observations and interviews are

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    Hello, im doing a classification analysis. The data has been clean and we already run several analysis such as mlp classifier , naive bayes gaussian and bronoulli. We need ann rbf and roc chart for model evaluation

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    15105 - Need Java Developers Έχει λήξει left

    Title: SQLiGoT: Detecting SQL Injection Attacks using Graph of Tokens and SVM

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    Tensorflow Image Classifier Έχει λήξει left

    ...traying to create an App based on Tensorflow Image Clasffication. Currently the dataset and the basic model is done. Though i want to show information of every result the classifier shows. Here i add a pair of images that shows exactly what i want, the application that i use as an example is called Dog Breeds AI, and uses a CNN model to classify dog

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    random forest project for svm Έχει λήξει left

    Cloud computing allows dynamic resource scaling for enterprise online transaction systems, one of the key characteristics that differentiates the cloud from the traditional computing paradigm. However, initializing a new virtual instance in a cloud is not instantaneous; cloud hosting platforms introduce several minutes delay in the hardware resource allocation. In this paper, we develop prediction...

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    ...responsibilities: 1. Email representation in terms of words that appear in the emails. 2. Classifier implementation. Email representation consists of two major tasks namely, term selection and weighting. Those techniques can be used to classify spam emails: 1. SVM 2. LR 3. Decision trees 4. Term selection and weighting techniques. You may use as well:

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    Editing on an image classifier - all material will be provided.

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    i need someone to help me with the implementation. in here, I'm using the artificial neural network to weigh inputted texts based on some supplied questions and answers using python programming language as the backend

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    Sentiment Analysis in R Έχει λήξει left

    Sentiment Analysis Using Those algorithm- [κάνε είσοδο για να δεις το URL] Tree, 2.SVM, [κάνε είσοδο για να δεις το URL] Bayes [κάνε &epsil...

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    Data Mining 1 Έχει λήξει left

    ...patients have or have not hepatitis (Histology: Yes or No). You should use the Weka data mining package, which is installed in the university computers and also available to download from: [κάνε είσοδο για να δεις το URL]~ml/weka/ You should hand in a report covering ...

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    Data Mining Έχει λήξει left

    ...patients have or have not hepatitis (Histology: Yes or No). You should use the Weka data mining package, which is installed in the university computers and also available to download from: [κάνε είσοδο για να δεις το URL]~ml/weka/ You should hand in a report covering ...

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    build a machine learning classifier Έχει λήξει left

    I am looking for a data scientist/statistician to help me in building a good ML classifier using Python. I have a sample of 10k+ with approximately 8 features with the dataset containing a slight imbalance of 3.5:1 ratio of bad:good ratio. The criteria would be to have a robust model that has a high AUC(minimum 65%-70%), precision, recall, F1-score

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    ...professional who would like to help me with the medical research I´m doing. I need someone who can program any sort of machine learning applications mainly neural networks, svm, etc. with results we obtained from patients data. I attached a few already published paper close to what I´m looking for....

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    Write a statistical paper about the random forest classifier. Must contain the concept with the most important formula (details can be discussed). The scources can be delivered.

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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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    Object detection using Classifier Έχει λήξει left

    I need to draw the bounding box over an image based on classifier’s output

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    research project Έχει λήξει left

    ...Distributed File Format). v. During Brain Tumor classification, we will apply a classifier on featured vector, those will be input for the classifier. vi. Specified classification has to be applied to parallel computation (Map Reduce Frame Work) and on the classifier, to get the expected accuracy. vii. We will use the simulator to get position,

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    Image forensics Έχει λήξει left

    ...(LBP). Moreover, different sub-model selection strategies are implemented and analyzed to investigate the performance-to-model dimensionality trade-off. Ensemble multi-class classifier is used for classifying the features into different forgery classes. The proposed scheme is evaluated on the dataset generated from IEEE IFS-TC image forensics challenge

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    DialogeFlow chatbot ML workflow Έχει λήξει left

    ...based on search model to find a treatment based on the name of the condition and genetic profile of the user. Machine Learning Model using neural network deep learning: - Classifier for Condition/Gene Variant matching system. output: information on the condition and Gene Variant extracted as summary text for the chatbot response area. We can use as reference

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    Required ML expert Έχει λήξει left

    Hi, ML experts I am making a large project for network security implementation. I need a ML exert who has wide knowledge of SVM, DT, NB Please do not exhaust time if you are not ML expert. I shall test something before hire you. Thank you.

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    SWKN, ANN, SVM, RNN and XGBoost Έχει λήξει left

    An expert in SWKN, ANN, SVM, RNN and XGBoost is urgently needed to help complete a project

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    My project about data mining in education to find a new way to improve student performance by using Matlab and R language, the ensemble classifier my aim to achieve to get the better result

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    machine learning classifier Έχει λήξει left

    i want a meachine learning expert to work on a project

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    Multi-Classifier System Close Έχει λήξει left

    ...incomplete sample of a similar code. The code regarding this project description is not the same since it has more functionality than this prototype-cornerstone. The structure is similar. The tasks regarding the present project are as follows: 1. Clinical Covariates; 2. Breast Densities Classifier; 3. BI-RADS Classifier; Understanding the task number

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    Image classifier project with using pytorch vision.

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    Main Goal: Identify a model with an improved accuracy. The model will combine multiple techniques (using ensem...many 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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    This project requires the buidling of a classifier to examine video data and use computer vision to detect occurences of vehicle based littering. The computer vision model developed should accurately distinguish moving vehicles which are committing littering offences from those that are not along any given route. The project will be split into two distinct

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    Python GLCM Έχει λήξει left

    feature extraction with gray level co-occurrence matrix(GLCM) then support vector machine (SVM) classifier

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    Neural networks project Έχει λήξει left

    I need you to develop a neural network classifier for me. I would like this nn to be developed.

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    Ann classifier Έχει λήξει left

    I have the extracted features of a side view image dataset and I want some help with the classifier

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    Working on Using ResNet, Inception V3, VGG19. While Building an image classifier, I have trained in batch-wise. After training, I am getting accuracy on the dataset but getting poor accuracy on different images. On my dataset validation accuracy is good and validation is also decreasing. I acquired the validation accuracy of 88%. But when I use the

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