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    5,607 okcupid dataset jobs fundet, i prisklassen EUR

    The accompanying CSV dataset contains 150,000 records (each representing a single customer who has obtained a car insurance quote via a PCW), including 16 data fields: report that: Illustrates the opportunity to develop a product or brand strategy using a targeted/segmented approach, based on observed customer behaviour Helps us to gain insight into

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    The accompanying CSV dataset contains 150,000 records (each representing a single customer who has obtained a car insurance quote via a PCW), including 16 data fields: report that: Illustrates the opportunity to develop a product or brand strategy using a targeted/segmented approach, based on observed customer behaviour Helps us to gain insight into

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    The Dataset contains Latitude, Langitude, Datetime and Movement Status and few other colums. Need help in building Classification and implementation of algorithms for the dataset. The implementation has to be done in python preferably.

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    the data is about a project, the dataset includes: project number, reference number, project name, report due date (semi report, financial report etc. six reports for each project), report submitted date, report received date. the dates are different for all project and all different reports, need to generate a database in excel to record date, and

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    Data mining Expert Udløbet left

    data mining analysis to be on a dataset, only people with good knowledge on these should bid.

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    ...Machine Learning forecasting group to provide them with an application that performs linear regression analysis on a set of data for selling prices of houses. This training dataset is for a fictitious town called Traintown and consists of the selling price which here is the dependent variable, Y and a set of seven independent variables (X1, X2,…,X7).

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    ...from a pivot table, which I also create. I currently populate the data into a report manually which is very time consuming as I have up to 60 Vendors. - currently I create a dataset at the end of each month that includes the sales for all vendors off our e-commerce website - I then translate this data into a pivot table - then I manually cut & paste each

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    ... Dim connetionString As String Dim connection As SqlConnection Dim command As SqlCommand Dim adapter As New SqlDataAdapter Dim ds As New DataSet Dim i As Integer Dim sql As String connetionString = "Server=tcp:SERVERADDRESS,1433;Initial Catalog=CallTracking;Persist Security Info=False;User

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    I want to derive new images from the images I have collected. There are 150 pictures in each class of 20 class data. I'm supposed to give GAN a more of a painting that looks like her. I want to see at what stage each picture is produced in epoch. It needs to be made with Python programming language. When we give a picture we need to create a new picture in the project. You should do a work on...

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    Dataset: Retail Sales (Spreadsheet is included) 3 Tasks : I need working code that works for the following tasks:- 1) At least 3 INSIGHTS for Regression (Linear/Non-Linear whatever is applicable). Looking for complex and interesting insights. No simple one liner solutions please. I am using Anaconda Spyder IDE. Regression can be done on any column

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    Hi, our company needs someone who has a lot of experience with SPSS, and someone who is good with data mining / data analysis. We have a client who needs this done, our data mining / analysis employees have all booked holiday/been sick. This project needs to be done asap, (before 1st of December (so before the end of this week)). We have a data set and a question of what we are trying to find, so...

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    using data mining algorithms such as k-means on the dataset(diabetes), I would like to find if someone with specific attributes has diabetes or not and the accuracy for the used algorithms.

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    • Input data: Lidar data (point clouds), sensor calibratio...highlighted road • Evaluation: visually • Suggested main steps: • Use a prior knowledge of road position. • Use RANSAC to find planes. • Select the most probable one. for the dataset you download it from the site: [log ind for at se URL] with IDE pycharm

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    Easy task in python Udløbet left

    Guys I'm learning python and I want to understand how the statistical models are applicable. I will pick a dataset and then a freelancer will do these step in order to understand better how the machine learning works: 1) clean the dataset 2) use the following models: logistic regression, cross validation, random forest (supervised learning) 3) Then

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    MapReduce program Udløbet left

    ...streaming. A sample data file is uploaded containing a sample of stream records from the original dataset. The program should run for any sample data file which contains the mentioned tuple attributes. The attached file is just sample (doesn't have huge dataset but the program should run for the above mentioned requirement)...

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    I have a dataset containing speed data in NYC. The dataset is in a txt. file format. I would like to find out what the Maximum value of speed in a file and mean speed for each borough. The project is not very complex, but it must be done using Hadoop (Big data) and Map Reduced code should be provided. I attached Codes for weather dataset. Mine should

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    Dataset is provide to do data analytics. Including building models, data visualization and describe the business implication of the model. R is a must for this analytical project. Tableau is a highly preferred for data visualization.

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    I have a the following dataset of pandas dataframes: A: col1 col2 0 5 3 1 5 4 B: col1 col2 0 6 4 1 2 4 my_list: [24.5, 65.4] Assume I have a dataset of thirty A,B,my_list pairs which have different sets of values. Changing a single or multiple values in either or both of the dataframes A and B affect the values

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    1-Create/Collect supporting raw dataset as CSV file. 2-Choose a data science supervised learning approach you want to explore and implement in Python: data classification problem, regression problem or text sentiment analysis. 3-Write and turn in compiled Python script that implements the model. 4-Your script should have train/test data subsets. 5-Run

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    Ann classifier Udløbet left

    I have the extracted features of a side view image dataset and I want some help with the classifier

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    Python programming Udløbet left

    Coding and documentation in python with dataset, with topics such as inheritance, Database connectivity, Multi-threading, Memory management, Exception handling, File IO, etc is all mention in the documentation

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    I am looking for a freelancer who will help me to convert a .R file to python file. I have attached R file and the dataset for your help so that you will be able to test my R file and python file that you will be creating

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    Tool: C++, Use SQL. Udløbet left

    ...cient then other. 3. Add a condition that will ask for the phone number of the user as an alternative after the three times attempts. This should also be validate from another dataset containing the users phone numbers. [log ind for at se URL] is the function. Tool: C++, Use SQL....

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    I have a text file of 80 rows that contain data taken from a webpage. I would like to have a CS...of each airline RATIO is the employees/aircraft ratio EMPLOYEES is the number of workers each company has AIRCRAFT is the number of airplanes each company has I need this dataset in order to make a presentation, but I want to avoid the preprocessing time.

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    ...ResNet, Inception V3, VGG19. While Building an image classifier, I have trained in batch-wise. After training, I am getting accuracy on the dataset but getting poor accuracy on different images. On my dataset validation accuracy is good and validation is also decreasing. I acquired the validation accuracy of 88%. But when I use the same model to classify

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    It is important to prove it like a “base-case” 1. Pick a simple binary dataset with a known problem 2. Apply condsat on it to build a decision tree using the matrix of condsat (1 or 0) 3. Shows the result of using condsat as decision tree for this datase we are using the knowledge of condsat to build a decision tree using the matrix of condsat (1 or

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    ...ResNet, Inception V3, VGG19. While Building an image classifier, I have trained in batch-wise. After training, I am getting accuracy on the dataset but getting poor accuracy on different images. On my dataset validation accuracy is good and validation is also decreasing. But when I use the same model to classify images captured from a mobile phone

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    ...and Surname on the text field, then automatically the system will detect your Country and auto fill it for you, you then need to select your State/Province on the drop down dataset of " States/Provinces " associated with your country, once state/provide is selected - you need to select your " Town/City " that is associated with your " State/Province "

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    I am using pertained models (vgg16, vgg19, resent ,MobileNet) I have 2 different dataset with below details , 1. Dataset1: the data is divided in the folders, each contains the label. for example, Folder1 named cat: contains all cats images… Folder2 name Dog: contains all dog images. 2. Dataset2: all the data are located in one folder, the is .csv

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    ...also the availability of being able to upload different photos of new products. We must recognize the exact model of the product so we need to upload photos to create a new dataset // If the specific is not found ask the user for more information (or select similar images or write if they know the product) 2) Match the model ex "LG k10" with a exclusive

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    i have dataset of VM CPU utilization .I want a program that cloud read this dataset,It is based on dynamic threshold could identify how many VM will be migrated to another datacenter. => Read dataset file => dynamic Threshold will be defined for migrating dataset (10%CPU utilization difference from its previous utilization will be considered

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    ...visiting the main pages, so some protection exists, possibly based on cookies. So this needs to be circumvented. - Data will be saved in a MySQL database with tables per each dataset. Eg. Players, Teams, Leagues, Matches. - IDs must be used and preferred as opposed to Strings. IDs from the target website must be used as opposed to locally created auto-increment

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    write C++ tasks Udløbet left

    ...cient then other. 3. Add a condition that will ask for the phone number of the user as an alternative after the three times attempts. This should also be validate from another dataset containing the users phone numbers. [log ind for at se URL] is the function. Tool: C++, Use SQL....

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    To create a software application using Semantic Data Technologies (i.e. a data model using an ontology, a dataset using RDF/RDFS and an application interface that runs SPARQL queries at the back-end and executes results in human readable format) My question is, can the application be built using the ontology I provide? The project needs to be complete

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    ...effectiveness of the proposed algorithm on a dataset. You should implement your algorithm using R, Python or any programming language. After you implement your proposed algorithm and run it on a dataset, you need to pick an existing algorithm, you can use Weka, and run the algorithm on the same dataset and then compare the results to your proposed

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    Dear python experts, I need to create a male/female dataset using the publicly available IMDB dataset. IMDB: "download faces only" 7 GB and also download meta data [log ind for at se URL] Use Python’s SciPy library to parse the meta data. Following information is present in meta data dob: date of birth (MATLAB serial

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    ...Spirits category. [A brief explanation of each file] 1) Dataset 1: Shows the % of consumers that drink each of the brands and categories and how often and in which occasions they drinks 2) Dataset 2: Shows the average and maximum discount executed by each of the brands when on promotion. 3) Dataset 3: Presents Value and Volume market share % for the main

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    I have a dataset with HDF5 files that I need to convert to mp4 or alike.I have been given a python script but it does not work so I will need someone to either remake this or work out how to convert it.

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    It is the first step in sentiment analysis .apply preprocessing technique fore commerce dataset

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    I have a dataset with different image formate .jpg , .png , .pmg I am currently using Keras - ImageDataGenerator().flow_from_directory to read the images in the current directory the images with .jpg is successfully reading while the other formate is not I need . I got this message when the image formate is for example .pmg Found 0 images belonging

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    I will provide you a dataset , create a tableau data story according to a rubric which i will be providing in the files i will upload once you confirm.

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    ...unique data (in this case new music album titles) that is thematically relevant and grammatically correct. Ideally the software would (1) analyse an extensive and existing dataset (several thousand album titles) (2) detect patterns in the data (i.e. the arrangement of nouns-adjectives-verbs and their relation to each other at the basic level + thematic

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    I want someone to design me 2 filters to filter any EEG signal ( Delta and theta bands ). I want the full code and dataset used and I want him to explain me how they done using matlab EEG signal processing project

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    ...Consider a dataset consisting of two disjoint sets O+ and O- of t-dimensional boolean vectors. For instance, with t = 8 we may have, O+ = {(0,0,1,0,1,0,0,0),(1,0,1,1,0,0,0,1),(0,1,0,1,0,0,1,1), (0,1,1,0,1,1,0,1),(0,0,1,0,1,1,1,1)} and O- = {(1,1,0,0,1,0,1,1),(0,1,0,0,1,1,0,0),(1,0,0,1,1,0,0,1)} Typically each vector appearing in the dataset corresponds

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    ...Consider a dataset consisting of two disjoint sets O+ and O- of t-dimensional boolean vectors. For instance, with t = 8 we may have, O+ = {(0,0,1,0,1,0,0,0),(1,0,1,1,0,0,0,1),(0,1,0,1,0,0,1,1), (0,1,1,0,1,1,0,1),(0,0,1,0,1,1,1,1)} and O- = {(1,1,0,0,1,0,1,1),(0,1,0,0,1,1,0,0),(1,0,0,1,1,0,0,1)} Typically each vector appearing in the dataset corresponds

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    We run an ecommerce website. And we have a dataset from some years ago which we need to get information from. The dataset contains timestamps and events (sales, listing etc.). Description of dataset will be delivered to you once accepted. Dataset contains about 500000 instances associated with timestamps. We need to get it done by Wednesday. It shouldn't

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    I have 3 months dataset, please look into it before you send a proposal. alter dataset to add a few more columns based on the conditional parameter, for example, if the room temperature is lower than then 24 celsius add a new column and fill with value true or false. Text me so we can discuss further on this project in details.

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    Download the dataset published by the Government of Ontario from the following link: [log ind for at se URL] The dataset includes condition information for different roads in the province. Using your knowledge of classification methods, can you suggest a model that is capable of predicting the condition of

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    I am looking for a freelancer who will help me to convert a .R file to python file. I have attached R file and the dataset for your help so that you will be able to test my R file and python file that you will be creating

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