I need to learn satellite image classification using machine learning and deep learning to classify various features like buildings roads etc,
Twitter data analysis from dataset, text classification Detection of tweet as being "Harassment" or "Not-harassment":
I am working on a technical PoC to create the "data puddle" that might be t...files by page and sentence - Enrichment of document search metadata (.json) using simple logic (if contains "dog" then tag pets = "dogs") - Basic search of key phrases or classification tags to identify portions of a document that meet a specified criteria using Azure Search
... If you really really wonder the very original purpose of this project, is to have a fresh view of what kind of websites could be existing. And about this 'website classification' I really do wonder if there's some work have been done/completed before. I'm sure there would be one. You see, when you look at e-commerce products, there are always
Hi need someone experienced for car detection and classification in zybo z7-10 FPGA board.. the out must show on monitor as well must be there on serial Pmod..
I need an expert for Amazon Web Services, to code and deploy the following application. The project includes also online training for my own developers. Phase I: 1. A sender POSTs an image or short video, together with some metadata (JSON), and a location. For this purpose, the application provides a website, to select an image from the local file
I need someone to review and optimise an existing training model for an ensemble binary classifier in python. The classifier is for a lending app, with the outcome variables being ‘paid’ or ‘default’. The data is provided in a pre-processed format, in two files: 1. A flat file with one row for each item in the training set and c.40 variables 2. A short time series of a si...
I have several projects for you, the detail lists are as the following: A: Fix format Document classification with 1 image training B: Distance between Person and object and abandonment detection using 3D RGB-Depth camera C: Anonymous person tracking and behavior analytics Let me know where you can do. these are all small projects.
m working in this code but some issue in image prediction
...attempt results (i.e. all module average. ISM module average, number of compensentable failed credits, number of outright failed modules) as parameters and returns the degree classification (e.g. “distinction”, “merit”, “pass” or “fail”). Write one or more methods that will prompt user for keyboard input for all module average, ISM module...
...word embedding approach (/ word2vec) and it must improve the results of the benchmark. Similar works to get an idea (for your own read) : Distant Supervision for Emotion Classification Task using emoji2emotion Beyond Just Text: Semantic Emoji Similarity Modeling to Support Expressive Communication Learning Emoji Embeddings using Emoji Co-occurrence Network
So you need [login to view URL] a simple kNN classifier for digit classification. [login to view URL] to used: either a or b : a. HoG b. LBP [login to view URL]: Provide your understanding on why there was an error in the accuracy, and difference in the performance of the classifiers. You may also include some image samples which were wrongly classified. [login to view URL]: Provide
Hello freelancers, I want to make a model in matlab which can identify the gender of a person. First, we have to enhance the audio file by removing noise, silence , feature extraction. Then by using the dataset we need to train the neural network . And for higher accuracy we are going for Fused based model . Refer 6.3.3 from this paper for more information.
I am looking to hire a machine learning expert to build a neural network that can multi-label images of tattoos. The image classifier needs to be able to identify any type of object in the tattoo. Examples are tattoos of birds, dolphins, trees, knights, chess pieces, lettering, etc. The classifier needs to be able handle any type of tattoo style, such as water color tattoos, black and white, ph...
Hello, I am looking for someone with experience in machine learning techniques and R who can do an analysis on a dataset; this will be a classification / continuous response problem 1, i have a data set of an election result. need to explain the factors affecting the election result 2, you have to choose a state for analysis, dataset has only a few
In this task(see the attached full document task), you are given a dataset “[login to view URL]”, try to find the “best” classification model by comparing the evaluation metrics, especially the recall rates produced by knn, decision tree and random forest models. You are given: • Dataset: [login to view URL] • thresholds = [0.1,0.2,0.3,0.4,0.5,0.6,0.7,0....
glaucoma detection using cnn with python , we have to identify whether Glaucoma or normal image , already i have done till segmentation only classification pending , can any one help me with classification part , I have attached my code here
This gig is to develop a guidance note (a web page) on intellectual property considerations when engaging vendors for artificial intelligence. My client is a large enterprise who has an increasing number of projects which use artificial intelligence to solve a number of business problems. These problems include: scenario modelling, object detection
...necessary. Gather materials to be filed from departments or employees. Place materials into storage receptacles, such as file cabinets, boxes, bins, or drawers, according to classification and identification information. Eliminate outdated or unnecessary materials, destroying them or transferring them to inactive storage, according to file maintenance guidelines
...Layer interface, in the Controller). What needs to be logged in the History Database: - Id (guid) - Microservice (enum) - Node (string) - Module (string) - Layer (enum) - Classification (enum) - Timestamp (datetime2 (5)) - Message (string) "Client part": Develop a class which can be added to the Service Collection of an existing Asp.Net Core application
Hello there, I am currently looking for someone to help me out with a text classification problem. I am doing research in a non-computer science field with the help of NLP. I have a good understanding of the math behind it and understand the topic well, but I have my problems with putting everything into code. The person is supposed to give me private
...Ideally other website links like groups (new forum containers), members link to content can also be retained without duplicating entities. I will manually correct content classification categories following migration. A static copy of [login to view URL] has been already placed within [login to view URL]
I'm looking for NLP expert who can create an efficient Chinese and English language Question and Answer system based on short text similarity algorithm, u...program created by former programmer and it needs your expertise and improvement to enhance its accuracy. Best, John Skills required NLP, Data Science, short text classification, Python, Java
Components to be developed Database Fish guide database Information from the Fish Farm or another source, consisting of photos, classification parameters and descriptions. Fish statistics database Information gathered by end-users, such as photos, and GPS coordinates and maps of the Namoi. Approval queue database The approval queue will contain end-user
Machine learning approach for binary classification problem using python. More details in chat
...Uses CSV files for input and output (example will be provided) Based on arguments to the python script it can do two different things: - Create models for Regression and Classification - Input is a file location to a CSV file with training data - Predict for new data based on the models created - Input is the models to use file location to
...centerline, all ships have to navigate to the right(starboard) side. so, the collision situation will be decreased. I'd like to apply SVM (support vector machine) for binary classification. There are straight and curve lines in the study area. I attached some files. (zip file) There are powerpoint and data file. And also please draw your flow chart and
...chaplains of various faith traditions and advocacy representatives of the LGBTQ community. Its objectives are to provide ministerial services to all individuals regardless of classification, provide educational programs, mentor the youth, help communities in need by feeding, clothing and caring for the homeless and less fortunate, respond and assist in crisis
...the same directory as the python script and gives another image file as output with a classification label - for example you upload a dog image it will output the image with the classification label in this case dog . I want to have the script take input from a web form basically which has the upload image button and just some description and pass
Vehicle Plate Detection and Classification Android&iOS , only bid if you have ready made code
I...of elasticity of substitution and technical efficiency (i.e. both separately) with respect to the varying firm sizes (in terms of employee headcount) and sub-sectoral classification (NAICS-4 level i.e. focussing on the sub-sectors of the food manufacturing industry) of the manufacturing industry. If more information desired then please contact.
we have a product [login to view URL] which consumes bulk documents through REST APIs and performs document classification and data extraction using OCR/ICR. We need a mobile app (both iOS and Android) that will scan the documents through mobile camera, perform edge detection, find the contours, apply a perspective transform to obtain a top-down, 90-degree
...dataset that will be provided should be read in and preprocessed making it ready for DT classification. To do: preprocess dataset Gini impurity / information gain methods created Decision tree created End result the tree should produce percentages of classification Message for more questions Prerequisites: Must be python 3 with jupyter notebook
Delivery : 2-3 days I need help in writing a python algorithm for classification models of the data set. Write a brief report why is it the best model to use. Classification models: 1. Decision Trees 2. Random Forest 3. Support Vector Machines
Deadline: 14/05/2019 I need help with someone experienced in Natural Language Processing (NLP) - Check the attached "[login to view URL]" file...Processing (NLP) - Check the attached "[login to view URL]" file. - I attached the text8 corpus and ag_news_csv file. - You can code from scratch. **** Finish the code & Test set classification result(.txt)****
fastText implementation - Subword model - Classification model
basically you need to classify the products in the dataset which provide high accuracy and i can explain you in detail after you contact me
...researcher to dig through several government databases and compile a report on the findings. What we are needing is 1) someone to go through the North American Industry Classification System (NAICS) codes, and find the relevant and related ones to our industry. We then need 2) to search another procurement database to get all the available information
Require Format • a pdf file with the source code (excluding libraries), the output and a brief explanation of the implementation. • the code. Problem : Image Classification. Using the images in the Images directory. The objective of this problem is to classify each image of the test set into one of three classes: coast, forest or “insidecity”. The
...detail of exact civil items. Along the top of the spreadsheet, there are various columns used to define project areas with this information being various levels of the area classification structure. I envision setting this structure to take on eight tiers of area classifications to allow for various grouping and sorting at various levels. Further outside
...state of intrusion detection. Stolfo and Leeii describe several approaches to data mining which are particularly useful in this domain, including classification, association and sequence analysis. Classification seems especially suitable is a training set is of audit data is available. An ideal application in intrusion detection will be to train a classifier