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Posted at one day ago
I have a MATLAB code that I need to add a few things to. The code is about a forest fire detection system. There is a neural network algorithm that takes the data from an excel file and gets the output. Then there is a visualization for a Wireless Sensor Network system that contains 5 clusters, in each cluster, there are 4 sensi...read more
Apply On This JobPosted at 2 days ago
We need an experienced data scientist to help us with image classification.We're building an app in which users can submit or select photos of shoes they like and be recommended pairs of shoes that are visually similar. We have scraped photos from many popular shopping sites, but need somebody experienced with neural networks to...read more
Apply On This JobPosted at 2 days ago
General requirements:Proven experience as an NLP Engineer or similar role;Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling;Ability to effectively design software architecture;Deep understanding of text representation techniques (such as n-grams, bag of words, s...read more
Apply On This JobPosted at 3 days ago
Job DescriptionCandidate will need to gain an understanding of the 2018 Standard Occupational Classifications ("SOCs") provided by the Bureau of Labor Statistics ("BLS"). Candidate will then read job a list of job descriptions and verify whether each of the assigned SOCs are correct. If incorrect, the candidate will only mark th...read more
Apply On This JobPosted at 6 days ago
Thanks for looking at this project.We are a looking for a freelancer with a lot of experience with Machine Learning for NLP, to help build a model pipeline for text analysis.You should have experience with these technologies: PYTHON, SCIKIT-LEARN OR KERAS, DOCKERAnd experience building NLP pipelines.
Apply On This JobPosted at 6 days ago
1. Data pre-processing - Remove Blank rows in Data, Change all the text to lower case, Word Tokenization, Remove Stop words, Remove Non-alpha text, Word Lemmatization (here have to use all the grams including bygram)2. cross-validation using traing and testing data set3. word vectorization with TFIDf 4. attribute reduction with...read more
Apply On This JobPosted at one week ago
Hello to all viewers!I am developing an image classification program and as I am not much experienced I need some script consultation. The job is easy and the script is not long to read. Main questions for consultation will be:1. How to use GridSearch if we use Keras ImageDataGenerator? I tried to do it with loop, but maybe 4^ n...read more
Apply On This JobPosted at one week ago
Assignment is long term n deliverable will comprise labatory n field test report including soil classification n recommendations.A freelancer must be familiar with various construction material test procedures n codes n able to select n order required labatory n field testing equipment n supplies.Our company is an engineering d...read more
Apply On This JobPosted at one week ago
A dataset of approximately a 1000 imagesText extraction using OCRMatching the text extracted to few sentences to see which sentence matches the maximum words(possibly coming up with a hybrid classification system that can do the same)
Apply On This JobPosted at 2 weeks ago
HiI am developing a tool to generate a report of certain interior objects (doors for example). Based on the images i want to quantify the condition of these objects in 3 categories (bad/normal/good)...etc. I will use the machine learning results to inform the user about the condition of certain objects based on the images.The j...read more
Apply On This JobPosted at 2 weeks ago
I need help in developing machine learning training program which will have the following three components:1) Python basics training - Start with the basics. then go to Dict, Tuple, List. Then talk about pandas and matplotlib2) Talk about Statistics needed for machine learning3) Talk about sci-kit learn and use it to show Regres...read more
Apply On This JobPosted at 2 weeks ago
It is a small assignment and can be completed in 2-3 hrs. Below is the task required. . Read the column description and ensure you understand each attribute well 2. Study the data distribution in each attribute, share your findings. 3. Get the target column distribution. Your comments 4. Split the data into training and test se...read more
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