...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 would produce
Purpose: Use LexNLP ([login to view 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 use of LexNLP are located here - [login to view URL]
automatic arabic broken plural detection using Naive Bayes classifier
Additive manufacturing presentation
...need a logo to start food truck's business. I'm gonna sell, as main product, fish sandwiches, but not limited on those. As well salads, veggies, dessert are potential products. All the products will be really gourmet, with high quality products, innovative sauces and modern technic of cooking. Logo as to communicate quality, lush food but not to forget
...pump would be turned off and on If possible we would also like a timer to start when the pump turns on and the timer to stop when the pump shuts off. The timer would be additive and would continue to record the number of hours that the pump has run recording overall run time for the pump. I have heard that raspberry pi controllers don't have timer
Hello, We're looking for someone to build us a mobile app (iOS and Android) to let our clients to order from home. On the user side it should ask them to register/log at first time and after that to choose the desired restaurant where they want to order. It should have few sections. -Home, where they could check and switch between restaurants, see
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,
...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
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
We will, first of all, need to improve the last project . 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
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
Hello there!, im 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
...splits B. spam/legitimate email splits. In email classification, there are 2 main 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
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
Need mobile app developer and designer that have more than 5 years of native ios and android. Developer need to design, setup API, and setup app server on linux. Site concept will as attachment. App need to have the customer application and servicer application. Customer able to choose food menu and calculate hours spent cooking at the customer location
I need a android developer for my Application. Application will consist Login, SignUp, Home Page(Consist Search Bar a top, Categories for food like Lunch, Dinner Etc, List of Items) On tap of item it will take user to item Detail Screen from where they can add item into cart, Cart Screen to order , More Options(Profile, order History, Notifications
... Due 10/12/2018 - i'd wanna have vertex Array(Vertex/Color/UV array) not including display list method - color blending (at least one ofthe geometry in the scene is using additive/multiply color blending) eg1 : [login to view URL] eg2 : [login to view URL] not as complex as above examples but somewhat
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
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.
...Location Based Food Search Comparison & Navigation App that will be built by customisation of: [login to view URL] Web applications should be built in AWS. 1) A web crawler that that crawls the restaurant name, cousine, restaurant address, food sub menu names, food item names, food item descriptions
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..
...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,
...(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
...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
Do you have a great idea on how a certain biobased material can be used as a 3D printing material? The U.S. Department of Energy (DOE) is looking for your ideas! https://www.freelancer.com/doe/manufacturing-innovator-challenge/about *Prize eligibility limited to U.S. citizens and permanent residents* ***View full contest details in PDF file below*** PRIZES DOE will award up to 3 prize...
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
...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 (1) is trivial since it is the development of a new feature for the management of clinical covariates. For this feature we will
Image classifier project with using pytorch vision.
We are import export company, we import food like buiscuits , chocolate bars wafers and cakes, also detergents , we want someone to do for us logo for the company and redesign some items for us , wafers bars, chocolate bars, pancake, and detergents
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
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
We will provide a topic to be written about and the finished article has to be SEO-optim...linking to external websites as well. The topic will be highly technical, so someone who is comfortable with that would be ideal. It will be in the topics of 3D printing, additive manufacturing and carbon fiber. As you apply, please send two relevant samples.