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    The system will take data from excel dataset and give suggestions using machine learning algorithms using python.

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    Thank you for reading my work pro...Pre-processing tasks: Data Cleaning Data Exploration Feature Engineering Feature Transformation (Feature Engineering) Feature Selection and Model Building Dataset (example attached bellow ) The dataset in CSV format Prefer languge is python or Ipython . Jupyter or Latex for Notebook Best regards Turki fisal

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    ...big and calculations are too hard for this program and my computer. I think that Matlab/R/Python is much faster in calculating that is why I approached you. I have a panel dataset and I want to use time fixed effects regression to estimate a model and forecast values with the fitted model. My panel data is unbalanced and has 40.109 rows and 25 columns

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    Hierarchical BIGANs 4 days left
    VERIFIED

    ... c. What impact would using other varieties of auto-encoders such Variational Auto Encoders[11] (VAEs) have? 2. What latent space size is best for a dataset and can it be used in a Semi supervised settings? 3. When should noise be added to the input and how much? 4. How can we Measure convergence, control distributional

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    Data Mining 4 days left

    i have a dataset of many data that need a extract many knoledge from this

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    ...list of companies with name, website, image, location, activity, ...). On this website, I created a dynamic page with a table that shows all the companies (connected to a dataset). This works just fine. Now, I want to add a search-function, so users can filter the results in the table. Therefore, I need a search-bar and a dropdown that alters the table

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    I want to implement a fuzzy transform to smooth time series, instead of using regular statistical tools like moving average, OLS....etc It's straightforward mathematics that just needs coding skills to implement directly either in Matlab or in Python. I want it at most within a week... ONLY PAID WILL BE DONE IN CASE OF SATISFACTORY results, TeamViewer

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    ...you are, the better your chances. WHAT YOU SHOULD DO A simple data analysis needs to be done with econometric software (Matlab, Stata or R) (Please see the attachments: DataSet and detailed project and work description is attached) Model: One dependent variable (3), two independent variables (1 and 2) Main question: How is the (1) duration influenced

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    I am doing master's in cse basically I need some Natural language processing research topic that to in mainly concerned on sports dataset

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    ...take screenshot and prepare document. Example of Articles: 1. Difference between Calculated column and measure using Power BI 2. Introduction to Flow in Office 365 3. Live Dataset in Power BI 4. What is SharePoint Framework? I need a good article with better screenshot with POC performed. Freshers are most welcome. For every POC article, we will pay

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    Hi, I have a project that need to be done in R language and it's about studying a dataset and doing some operations on it.

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    ...9097 €5.20 You can see both the XLS file and the scans - they are attached to this project spec. The project is for immediate start. Given the very small size of the dataset, the budget is $30. If you finish within 12 hours and without errors, I will give you a $20 bonus. If you complete this project successfully, I have further projects like

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    We need a Python script to take in any given dataset (meaning either a regression task or a machine learning task) and select features according to four feature selections algorithms which will be provided. We are expecting the following: df_raw df_one df_two df_three df_four where df_raw is what we provide and df_one...df_four are the dataframes you

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    Looking for...have time period calcs like ytd, rolling quarters, rolling annual total etc.) Georgraphy = national > state Customer category = ~6 different categories already defined in dataset Calculations = sales/share of "selected" growth (vs previous period and vs same period last year) I will also provide a mapping table for product hierarchy

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    ...algorithm . Simply i need help in applying clustering algorithms on the data I have using Python or R . I have I have Dataset (example attached bellow ) it is Puplic data and open data about crime In uk for research. The dataset in CSV format [ data varibels are = : Crime ID,Month,Reported by,Falls within,Longitude,Latitude,Location,LSOA code, LSOA

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    ...ls/image/alexnet/[login to view URL]  A. First experiment: Only one image per person will be used for the training. Thus, the total number of images in the training dataset is 40 images. During this experiment, we will check three different use-cases for the test images: 1- A test image (different from the training images) is used with no added

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    ...the higher counts words in our dataset being identified as the top trends. We would like to pay for pseudo-code suggestions of close we can identify stringed words - e.g. we may have many text fields that talk about "Donald", or "Trump", or "Donald Trump" - we'd like to explore with a professional how strongly our dataset can provide credible, r...

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    Dear, I want the project of Breast Cancer Detection using Convolutional Neural Network. Please send the project proposal including dataset, training data and validation dataset and detail description. Thank You

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    Perform data Analysis on a dataset and present findings in Jupyter Notebook.

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    Hi every one i have code in matlab want some one help me tha method called FLBP fuzzy local binary pattern . 1- i want it read my dataset from file . 2- then extract the feature for that in excel file . excuse my with cheap price. thank you

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    ...Country at adm1 level /sub-national regions with a specific colour ramp to produce a PDF map output. It is for a global dataset so must produce a map in PDF format for each respective country when run - approx 200 countries. The Adm1 dataset and corresponding shape file, custom colour ramps and map template format will all be supplied. The script must be

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    i want a genetic clustering algorithm in python with each steps should include comments and by using indian dataset(eg:education wise,agriculture,trading in india,) it should include more than 15k [login to view URL] coming to clustering library shouldn,t be used(eg: k-mean library).we have write a python code without clustering liberary (https://github

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    i want a genetic clustering algorithm in python with each steps should include comments and by using indian dataset(eg:education wise,agriculture,trading in india,) it should include more than 15k [login to view URL] coming to clustering library shouldn,t be used(eg: k-mean library).we have write a python code without clustering liberary (https://github

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    I need to use neural network to count passengers inside a bus. I have 5000 images of passengers inside the bus for creating dataset. I already created a dataset but the precision was not good. I have little experience with neural network. I need this count to work on a raspberry pi3.

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    >>windows form and web form >>Data structures >>dataset and offline connectivity

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    Have a really small dataset (csv) with 36 rows and 5 columns. 4 columns are the categories and 1 is the values for those categories. I want to create a simple Sankey diagram using D3JS v4. Something like the one shown here: [login to view URL]

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    ...You have to use any data set for the analysis. The example data set can be from any open source location including one that is also in the course [login to view URL] This is open project. You can get example dashboards from following location [login to view URL] [login to view URL]

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    ...Torres Strait Islander issues and addressing Domestic Violence. A starting resource will be [login to view URL] and the spreadsheet available here, [login to view URL] There a 1000s of organisations listed, but I'd like a list

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    I need help to make ...my neural network work on a raspberry. I created a dataset myself, I did the training but the performance is very bad. I need help to run with good performance and check if I'm missing something in creating the dataset and something else. I need someone to accompany me in the creation from the dataset to the detection of people.

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    ...pascal voc format, already sorted in test and train directories with [login to view URL] and [login to view URL] generated. 2. you will need to use this dataset prepare if for caffe, which includes steps like creating converting the dataset lmdb, preprocessing images etc. 3. Train Model in ssd_mobilenet_v1 for at least 3 hours for the first test, and give me the model. Then

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    A machine learning project with the goal of detecting clickbait from a given dataset. The training and testing data is similar with the ones existing in [login to view URL] Along with the project, I need a detailed documentation with how to run it, how it works, the technologies used and with the obtained results. My deadline

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    I NEED THIS DONE ASAP, LIKE TODAY in the NEXT FEW HOURS we'd like you to analyse the Census Bureau International Dataset and answer the following questions. Make sure to illustrate the queries and results along with your final presentation. • Which country had the highest mortality rate in 2007? • Which countries had the biggest population growth

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    ...Look&Feel of the app. I just need a basic tool that I can manage and integrate into my app. For the learning data set, it would be great to use both an open source dataset and a "private" dataset fed by me. It would be considered a plus the possibility to read also handwritten receipts. But I prefer to leave this for a second phase. The final deliverable

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    Use a machine learning algorithm to build a model for classifying a dataset using r studio

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    For training of neural network we need at least 2000 images of faces with closed eyes and also 2000 wi...than 50 different people of different nationalities. The size of each photo must be not less than 640x480. The photos could be make, download from the web, from the ready dataset (except [login to view URL]).

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    ...determines the exact architecture of a CNN by evolving the various hyperparameters of the architecture for a given application. The proposed method should be tested on the MNIST dataset, which is a large database of handwritten digits that is commonly used in many machine-learning models. The experiment should be carried out on an Amazon Web Services (AWS)

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    I need to build an eye image classification system using deep learning with tensorflow. I will provide a dataset of 60,000 eye [login to view URL] system needs to be trained with these images so that it is able to validate healthy or non-healthy eyes. After the system is trained, the model needs to be deployed on AWS lambda as well a notebook for diagnosis

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    I want a project which detects internal intruder in a network by using dataset of user behavior collected using datamining concept and unsupervised cluster approach. I attached a base paper with this post. I want the project to be done by using alternate approach like unsupervised cluster approach. And also I want to rectify a drawback of this approach

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    ...cancel the sorting processing • After the processing, UI should report which routine algorithm was fastest, second, slowest • UI should allow save mechanism to save sorted dataset to a data store • Provide the sources, executables, project configuration/instructions preferably with a .zip in an e-mail is acceptable. • Analysis on the project will use

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    Use RStudio to generate advanced graphs (using the ggplot2 package) using the dataset

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    ...labeling for my dataset. The problem is, I have labeled dataset with this feature text, verb,prep,start,end, label. For example weve had to break it down into what I think is askable about happy(text), break(verb),down(prep),(15),(28)(1). The label is 1 for positive or true, and 0 for negative or false. Next I have huge unlabeled text dataset. The weak supervision

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    ...labeling for my dataset. The problem is, I have labeled dataset with this feature text, verb,prep,start,end, label. For example weve had to break it down into what I think is askable about happy(text), break(verb),down(prep),(15),(28)(1). The label is 1 for positive or true, and 0 for negative or false. Next I have huge unlabeled text dataset. The weak supervision

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    Textfiles on a linux system in a given directory need to be parsed and imported to a mySQL Database. The image shows an example for such a file. Table colu...before the next table column follows after the comma , There has to be an extra column / field added to the target database, where the Import date and time is added when the dataset is imported.

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    Machine Learning K-Means

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    We will provide you labeled images, You will have to train a ssd_mobilenet_v1 using Caffe. Things we expect, The model you will train is going to further get compiled by Movidius MVNC Compiler which supports Caffe ssd_mobilenet_v1. If you have any doubts or need more in depth detail about what you have to do contact me.

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    We will provide you labeled images, You will have to train a ssd_mobilenet_v1 using Caffe. Things we expect, The model you will train is going to further get compiled by Movidius MVNC Compiler which supports Caffe ssd_mobilenet_v1. If you have any doubts or need more in depth detail about what you have to do contact me.

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    ...knowledge of these will be useful. The paper must use extensive referencing and not plagiarize. Paper will be around 18 pages in length. A full specification along with a dataset will be provided. The most important aspect of the paper is TIME. 2 weeks is the time frame. I need the paper by the 12 of august. Please read the full specification and let

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    NDA
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    Step 1: Do not limit your code to a specific data size or data dimension. Dataset can be numerical/categorical attributes in XLS and/or CSV format Step 2: Discover the number and the location of the missing data. For instance, if you return the missing indices, you are able to discover the missing data patterns (univariate, monotone, arbitrary missing

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