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":
...might be the origin of a datalake. The MVP would include the following features, all executed using Azure REST APIs - Programmatic upload of documents from a specified directory (eg. c:/test) to an Azure storage account - Text extraction and parsing of documents (.docx, .pptx) into shards of files by page and sentence - Enrichment of document search metadata
...is the same as the previous project. and explaining it deeper, when the tool gets to be made. it'd be applying on thousands / millions of websites. After posting previous project, I happened to know that one of the general method is developing NLPㅡ model to classify certain websites. and for that, we need to have manual classified/processed data
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..
...download link. (the app / website to actually perform the download is out of scope). The notification service (probably firebase) shall allow to send notifications to both iOS and Android. 5. Additionally, a website shall be created, that lists all media files previously update. A subset of images can be found by searching in the metadata. To begin with, the
...for each item in the training set and c.40 variables 2. A short time series of a single variable A description will be provided for all variables. Also provided is the existing python code of the training model. It is a basic ensemble model combining some rudimentary out-of-the-box python machine learning algorithms. Key performance metrics will be
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
...DegreeGrader_xxxx class, where your exam ID forms part of the class name – for example DegreeGrader_xxxx, where xxxx is your exam ID. Within the class, create a method called gradeDegree, which takes four first attempt results (i.e. all module average. ISM module average, number of compensentable failed credits, number of outright failed modules) as parameters and
...improve the existing works and have better results. In my project I want to use emojis ( you may add other features, but emoji is necessary to be a part of it) So I want to know what is the emotion of each emoji, cluster emojis into 11(eight Plutchik + optimism, pessimism,love) classes and assign an emotion class to it (joy, ecstasy, sadness,...) Later
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
...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
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
...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 using computer vision, data classification to name a few. Your objective is to develop a guidance note (1000-1500 words) to
...a certified ISO 9001 manufacturer of compression molded reinforced fiberglass composites including pre-form, sheet molding compound and bulk molding compound, with secondary operations in fabrication, assembly and Class A finished painting. Nouscom has a career opening for a Shipping Administrator. An example of duties includes, but is not limited
...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 (either MVC or WebApi), in ConfigureServices, which subsequently
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
...retaining as much of the links to users (initially just create disabled user accounts for each user) and keep the original content date stamps. 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
...or keras K-means to create clusters to enhance accuracy. Each question submitted by users should be given a score from 0 to 1 based on its similarity rate to the original set of questions. The script should be in python that can run on server side. More details will be share via private message. You must have experience with natural language processing
...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 submissions for approval
Machine learning approach for binary classification problem using python. More details in chat
...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 a CSV with new data to be predicted on (same format as training data Creating Models Ability to create two different types of models - Regression:
These are trajectories of merchant ships navigating at the coastal in Korea. I'd like to make a centerline. so, I need positions(latitude and longitude) at regular intervals. Purpose of this research: There are frequent collision situations. If I make the centerline, all ships have to navigate to the right(starboard) side. so, the collision situation
...agencies; as well as public and private institutions, in time of crisis; providing a 24/7-365 days a year service and support hotline while serving on the principle to accommodate not proselytize. It is an interfaith non-denominational chaplaincy whose services are available regardless of gender, age, color, ethnicity, national origin, ancestry, citizenship
...image file as input which is located in 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
Vehicle Plate Detection and Classification Android&iOS , only bid if you have ready made code
...output (manufacturing value added). I am going to use a stochastic frontier analysis (Translog input distance function approach) to calculate the elasticity of substitution (between factors of production) and technical efficiency (time-varying model preferably with half normal / truncated normal distribution) using the Maximum likelihood estimation
...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 view of the image. Send single or images in bulk using
...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
...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 on contracts that are being rewarded related to the NAICS codes, and a excel and quick summary of findings made. Experience navigating
...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 representation will be in the form of three separate histograms of ...
...simple excel spreadsheet to define the requirements of a given project. I want to create a user-friendly input program that has a defined structure that can be easily adjusted (added to) fit growing project needs. In the attached spreadsheet along the left side of the sheet, you will see varying tiers of project definition types (e.g. civil, structural
..."any set of actions that attempt to compromise the integrity, confidentiality or availability of a resource". A network intrusion attack can compromise the stability or the security of the information stored in those computers connected to it. Considering that in today’s world, companies depend on their physical networks and on their level of connecti...