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    5,602 dataset econometrics ols jobs found, pricing in USD

    I have a dataset of a series of designations and I am looking to sort them on the basis of heiristics (eg. Manager> associate> analyst and director>manager>associate manager, etc.) I require someone experienced in apache solr to help us implement this.

    $1102 - $2204
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    Machine learning 6 days left
    VERIFIED

    ...com/akirasosa/mobile-semantic-segmentation/blob/master/nets/MobileUNet.py. Please ensure your final code can be used to train a multi-class model with the "LFW, Labeled Faces in the Wild" dataset referenced in the readme (e.g. a model that can segment out both skin and hair) and deliver a Docker container demonstrating as much along with your final code.

    $10 - $30
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    ...script to do it on an ios emulator and save each file the name of the line item... less ideal is to have someone manually type the data from the CSV to the app each time. The dataset is in the attached CSV [login to view URL] [login to view URL]

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    Hi i need data visualisation using power BI. I have a small dataset, and would like to provide a sample of what power bi can do to communicate the data visually to managers. A few graphs and 3-4 filters. The data is on a single worksheet

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    I need to detect some objects using Deep learning Will send u test and train dataset

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    Can you take the [login to view URL] script you've created a...so that the input_FC that contains the land parcels to be checked against the 50or so datasets, when it runs, it creates 2 columns in the dbf output that advises: 1. the dataset name it was checked against [login to view URL] the second column advises YES or NO as to whether it was affected or not?

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    Do some data entry 5 days left
    VERIFIED

    I am wondering if I will be able to match between two data set. To clarify my point, imagine I have a dataset extracted from and related to a document. On the other hand, this document's data basically and originally extracted from another document, usually "Bill". Hence, I want these two data set to be matching with each other. The first data set

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    I was analysed tha data set according that dataset I was predict who get credit card or not

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    ...based on the adult dataset in accordance with the poker dataset illustration which I give) for the algorithm. 2. an architecture diagram for implemented map reduce mondrian k anonymity 3. a framework diagram (can take help from net .. no need draw from scracth .. it should suit our algorithm) 4. needed to describe the poker dataset illustration which

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    Build IOS Mobile App 3 days left
    VERIFIED

    ...The calendar should be capable of indicating 50 years from now as well as 50 years ago and the years between these periods. 2. Declaring all the occasions recorded in the dataset on the calendar. These occasions can be extracted from three calendars. 3. Declaring prayer times based on geographical location. The prayer times of each location can be

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    we extract the compressed domain inforamtion form HEVC encoded video (UCF dataset), and we want to do action recognation on this dtat with deep learning (3d cnn and/or LSTM) and Keras is needed. also access to GPU and server can be provided. and datae becomes ready the acurecy have to be passed is 80% . bests

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    ...The calendar should be capable of indicating 50 years from now as well as 50 years ago and the years between these periods. 2. Declaring all the occasions recorded in the dataset on the calendar. These occasions can be extracted from three calendars. 3. Declaring prayer times based on geographical location. The prayer times of each location can be achieved

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    ...further details, check [login to view URL] You might have to install the python utility for MongoDB interface via pip install pymongo 3. Load the JSON dataset into Pandas dataframe using the built in python json class. Extract values of the following fields in to the dataframe - food names, group, id, and manufacturer 4. For the

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    We have Dataset with proposed data cleansing method , we need to make the workflow in Alteryx .

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    Mr Ameer My name is Ziad from middel east I'm a computer engineer and now i need to create an intrusion detection system using Hybrid techniques based on KDD dataset and i need to try the most accurate hybrid techniques like clustring plus ART or clustring plus svm. I need you to know that is my first time to hire someone and i need this project after

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    Radiological society of North America has given an dataset with images of the bone and corresponding bone [login to view URL] some Deeplearning Model to predict the bone age with good acuracies

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    Create a large number of images using this meme generator app [login to view URL] and a list...script to do it on an ios emulator and save each file the name of the line item... less ideal is to have someone manually type the data from the CSV to the app each time. The dataset is in the attached CSV

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    I need a simple customer dataset analyzed in Uplift model for a project.

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    Learn the best feature for prediction in the dataset using Decision trees classification machine learning algorithm.

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    Find or create dataset 14h left
    VERIFIED

    we need some who can create or find data set contains original images and corresponding images with any changes the dataset needed for detection project

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    ...am pretty sure detecting jaw clenches is very difficult, so I will tip an extra $60 if you can also get jaw clenches working. I will be keeping some of the dataset to run as a test dataset to ensure your model actually scales. Please write a testing script for me that will take in 5-second videos from my test set and evaluate the accuracy on your

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    Feature learning using Deep Learning Method Dataset is ready

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    The following aspects will be worked upon in the phase II - Phase I already complete. (Simple Visualization of dataset using python) Data Description and data handling - Each column data will be clearly articulated as to what is the datatype, missing/na values if any, distribution nature of values(if continuous), proportion of categories(if categorical

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    ...looking for someone with experience with LSTM or any other algorithm (like it could be XGB / Random Forest) in order to improve the performance of a deep learning network. Dataset: 520,000 records. Attached to this project, you'll find the sample & training data + the script which is already created. The main goal, is to know if the value will to know

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    ... Types of probe attacks are saint, portsweep, mscan, nmap etc. We are using CICIDS 2017 dataset for intrusion detection which has the latest attributes with new types of attacks. In this section, we have analyzed various types of the publicly available dataset which we have used for training our neural network. CICIDS 2017: Generating the realistic

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    ...2017 dataset for intrusion detection which has the latest attributes with new types of attacks. In this section we have analyzed various types of publicly available dataset which we have used for training our neural network. CICIDS2017: Generating the realistic background traffic is one of the highest priorities of this work. For this dataset, we used

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    ...network to be within 1% of the training and test examples. I have some more test data to test the resulting neural net - do ensure that it has not been over-fitted to the dataset. The solution needs to include performance stats, final topology and weights, and also Matlab or R or (at a push) Python code of the network etc, so that I can rerun all code

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    Scoping out for more projects. Looking for experienced data scientist/statistician for help with small psychological dataset of a pilot study (130 subjects, 10 columns) between-groups design. Task is to come up with SEM model/analyses beyond simple regression. Deliverables: 1) Best SEM model fitting data 2) Short report i.e. 500words + codes/commands

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    perform unsupervised learning (using a number of techniques) on a dataset. use python.

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    I need Analysis with uplift modeling to a simple customer dataset buy sell for student project.

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    ... It should be noted that Quid Pro Quo mostly reflects more of "I'll give info on a trade" than anything that could be considered sexual harassment. (We have a whole other dataset for that.) Three examples of each would be: Boastful: “I’m going to make so much coin from this deal.” “When we pull this off, no one can touch us.” “No one ca...

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    ...to one. Then you can start working on it. The recommended langauge is R, but if you wish to use something else (lets say Python), please tell me which langauge and which dataset and I will relay your suggestion to the teacher where he will accept or not. So probably a small explanation of your choice will help him make the decision. On the 14th/June

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    I have a dataset with around 450k rows which have coordinates. I need them grouped into equal polygons spatially. Can break them out by a region and then will need equal number of points put in separate polygons. Will provide more information once confirmed

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    System should have micro camera connected to ESP32 and cloud server System should have iris recognition and face recognition to recognize pre-stored faces System sho...face recognition to recognize pre-stored faces System should have machine learning to detect the robbers (by detecting mask on face or weapon in hands). You need to collect dataset too.

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    ...TensorRT library on TX2. The desired FPS for 640*480 resolution is greater than equal to [login to view URL] accuracy(mAP) of the model should be greater than/equal to 70 % on VOC0712 dataset . The project is divided into two stage 1. First stage involves implementing Softmax layer(for axis:2) and Depthwise Layer which are not supported by TensorRT and required

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    ...system. Data Set The main dataset (eng) is a collection of newswire articles (1996-7) from Reuters, which was developed for the Computational Natural Language Learning (CONLL) 2003 shared task. It uses the typical set of four entity types: person (PER), organisation (ORG), location (LOC), miscellaneous (MISC). The second dataset (deu) is the German data

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    In this project, we need to work on human motion video datasets e.g. KTH dataset. Need to perform an efficient implementation of deep CNN or any other deep learning model and obtain results accuracy.

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    We're currently building a large-scale data mining system and need a data science expert to speed up the balanced k-means algorithm. The dataset has over 20k points and we need to finish the clustering within 30-40 seconds. We can provide the benchmark project and whatever you do with whatever tool, we need speed enhancement. We will provide more details

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    We're currently building a large-scale data mining system and need a data science expert to speed up the balanced k-means algorithm. The dataset has over 20k points and we need to finish the clustering within 30-40 seconds. We can provide the benchmark project and whatever you do with whatever tool, we need speed enhancement. We will provide more details

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    ...using polygons data, maps, and layover text, needs a few updates. 1. API authorization needed for existing table to work, I have account and can provide. 2. I have a new dataset for overlay information fields. 3. My KML data of polygon data needs to be updated. Looking for recent source polygon for Canada, FSA, postal codes, first three characters

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    ...computation methods(pandas, stata etc) for calculations over the dataset. It will be a long term project and involves parsing, storing, retrieving, processing and displaying the concluded result. Knowledge of python is recommended. Attached is a sample file for the dataset. The downloaded dataset will be scattered over different folders and the candidate

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    ...language is C++ using OpenCV library. For trained data, Caffe has been used as a deep neural framework. I would like to know how the trained data has been created from the dataset and explain to me step by step. The trained data and data model can be downloaded from the following link. [login to view URL] These are named by

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    We're currently building a large-scale data mining system and need a data science expert to speed up the balanced k-means algorithm. The dataset has over 20k points and we need to finish the clustering within 30-40 seconds. We can provide the benchmark project and whatever you do with whatever tool, we need speed enhancement. We will provide more details

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    Hi, I am a partner for a consulting specialized in provide Risk Management, Risk Modeling, Decision Sciences, Statistics, Econometrics and Corporate Finance (Valuation, M&A, FP&A, Cash & Funding) for my clients (big global players). Need 3 articles / week, for a month (total = 12) . If goes very good, I will pay more and demand much extra things.

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    I am looking for someone grounded in finance, econometrics and eviews.

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    I need a new website design parts catalog BMW! functional for reference the website [login to view URL] – the dataset and fields are identical, the same language, all they have but: in addition: the tab analogues of spare parts should work, but it is better not tab and the output of data on one strip with prices that would be immediately evident that the

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    I have existing project which performs basic CRU...suggest. 2. Currently the api is for admin to post the data and get the data from any unregistered user. 3. Evaluate existing code and provide feedback to optimise it for large dataset. 4. Create api to get data based on different search criteria (Name, Genre, ratings, director) Attaching the son file

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    The project is Econometrics based and requires you to have an excellent understanding of Asset and Risk Management. Kindly, go through the file attached for further information.

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    I am working with several excel datasets generated by the IRS and the Census bureau. While data in these sheets is organized by inter dependent ...static, in other words, tables have pasted values, no formulas or hierarchies. I need to make these sheets dynamics so that I can modify (include/exclude) certain parts of dataset and see resulting effects.

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