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    5,520 create write data excel file using dataset jobs found, pricing in SGD

    ...rotation - Adding random background from pictures with city themes (640x480) - Adding random noise to decrease the quality of the images - Create a txt files with annotation (json format) For the text file that you have to generate (same name that the jpg generated) Please check [login to view URL] TAG -> will be the licence

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    Hello - I have a time series tenaorflow code in R but dont know how to get a T+1 prediction. Can you help me with the coding required to give me the out of dataset prediction?

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    Need someone proficient in Machine Learning and full stack development that can run models on a dataset and rank in terms of efficacy

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    hello i have existing time series R keras code and need to predict an out of dataset value. I am not sure what code will achieve this - can you help?

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    Consider a dataset having a particular database of students information regarding: • Name • Reg Num • SSN/ Aadhar Number • Age • Mobile Num • Email ID • Etc. This basic information is put in a database which is secured with a random generated password (any encryption mechanism). One needs to know the password to access the database. Now this password

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    Dear...demands. I want to optimize the parameters of certain forecast methodology using a ex-post methodology. It is 1 methods in total, most of them are standard. I can provide exact formulas and I also have a dataset with test data that I can provide for QA. Please look at the file, if you think you could do something on short notice, let me know

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    Need to implement this project using various algorithms to predict the winning accuracy of over 75%. The goal of this project is to use machine learning to predict an outcome of football match. Machine learning algorithm is implemented to predict the outcome of English premier league football matches. The target is to achieve accuracy of over 70%. Objectives

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    ...training. We also introduce a new large-scale first of its kind dataset of 128 hours of videos. It consists of 1900 long and untrimmed real-world surveillance videos, with 13 realistic anomalies such as fighting, road accident, burglary, robbery, etc. as well as normal activities. This dataset can be usedfortwotasks. First,generalanomalydetectionconside

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    ...to cure cancer but also helps in its prevention of its recurrence. Data mining algorithms can provide great assistance in prediction of early stage breast cancer that always has been a challenging research problem. The main objective of the paper is to find how precisely these data mining algorithms can predict the probability of recurrence of the

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    Prototype is complete. CSS/HTML front end and React / JS back end pulling from a dataset - need prototype developed and admin panel added.

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    Create 5 clases in python that implement the following methods: 1. Principal Component Analysis; 2. Factor Analysis or Exploratory Factor Analysis; 3. Canonical Correlation Analysis and optional Generalized Canonical Correlation Analysis; 4. Discriminant Analysis (Linear Discriminant Analysis). 5. Cluster Analysis There are more details about the

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    I have a dataset which I want to transform into reports and charts. Like employee performance and similar.

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    ...object detection deeplearning project using three different models : 1/YOLO 2/SSD 3/RetinaNet training of the models should be for the same Dataset. and the output needed is two graphs one of them compare the accuracy of the models , the other is to compare the speed of the models. the project should be made using Python (Tensorflow,Keras,library)

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    I want to prepare examination dataset consisting of questions and answers. The focus is on technical skills. It should be in objective question format (1Q-4A) and subjective for code related task. Language: en-UK The questions should be original. If they are taken from somewhere then you need to check copyright and license terms, disclose it

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    I want a simple Network that use the Convolutional Neural Network able to do create an High Resolution Image from a Low Resolution Image. Requirements: - Image Reading through [login to view URL] library - Model must be use convolutional nn. - Prediction must be use the weights trained from the model builded. - Prediction comparison must be done:

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    I want to prepare test dataset consisting of questions and answers. The focus is on technical skills. It should be in objective question format (1Q-4A) and subjective for code related task. Language: en-UK The questions should be original. If they are taken from somewhere then you need to check copyright and license terms, disclose it to me.

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    Budget = 50$ The development of an Assistant helps the automation of cancer diagnosis. If a large dataset is available, it is possible to have recommendation methodologies that automatically can classify the set of medical images and lesions detection, giving a high probability to those cases where intervention is necessary. These methodologies will

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    I want a very simple program for unity if I clap my hands in from of webcam program...use any action instead of clapping (jumping, typing etc..) the program should train itself from a dataset (here is the example link of dataset : [login to view URL]) (programmer can use any dataset . I can also give a dataset) thanks

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    I need a query to extract the previous 10 values of a custom session level dimension before a purchase event and the value at time of purchase. This is from a Google 360 dataset running advanced eCommerce. Purpose is to track the accuracy of custom Audience modelling. From the results I need to: Validate product purchased matches Audience value

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    ...script to do pre-processing the data from a MySQL table. The table contains text messages from the users. (sample attached: [login to view URL]) The script need to take the text messages and filter it based on the the dictionary table ([login to view URL]) If you are using tokenizer to find "word", please note that in this dataset: 1) punctuation itself is als...

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    I would like to have an HTML component developed using a mix of html, css, and javascript. The timeline component will represent different event types on a audio timeline component Events will be displayed on the timeline with different color diamonds Event types of the same type will be displayed in the same color Moving the mouse cursor over a

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    Dataset: UC Merced Land Use Dataset [login to view URL] Apply feature extractions algorithms: . Color Histogram [login to view URL] And choose a statistical analysis/modeling (Histogram/ PDF and statistical test, Statistical moments, Covariance analysis or

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    Project requirement is very simple. The only skill needed is to read and speak Burmese fluently (native speaker). We will provide a 24000+ Burmese sentences, you just have to read the sentence aloud and record it. We will provide a dedicated Android app to make the process faster. A few requirements - #1 - Total audio duration: 42 hours #2 - Total number of different speakers: 10-15 person (each...

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    Build a Recommender System using NLP And RNN (Deep Learning) for the following dataset based on the overall reviews, review votes etc usefull columns. dataset link : [login to view URL]

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    ...The stanford dog data set, if I'm not mistaken contains about 150 dog breeds, but there's around 300 dog breeds in FCI. - A decent percentage of successful detection is needed. - I prefer to have it coded in Python, but if you believe something else suits this task better, I'm open to hear more. - I'd like to see the model and dataset become better as

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    ...Is able to transform a Low Resolution image to high resolution image. The dataset has both type of image, LR, and HR. I'm not interested in very high performance... Instead I need 3 type of NN. 1 By using SCNN approach. 2. By using Variational Autoencoders 3. By using Gan. I will repeat that I'm not interested in very high performance... But

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    ...full stack solution, preferably deployed in AWS. The three main components would be a web site front end, a simple database on the back end, and lambda (or cron job?) to pull data from a 3rd party via web API. We are thinking a Beanstalk, RDS, Lambda combo but are open to other architectures. The basic design would look like this: At some interval, several

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    I want to build model help to classify 7 types of skin diseases using deep learning. Also the dataset highly unbalanced so we need to doing preprocessing such as ( Data augmentation , SMOTE method or geometric transformation ). Also I want to investigate if the segmentation of the image will enhanced the measure of classification. Already i try to do

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    I have a dataset that I need to analyse in SAS and then interpret it. I will provide the details in the chat.

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    I have use inception model to classsify my images dataset. I just need to save the Accuracy BAtch file permanently so it will use the save training file instead of train the model everytime i will run the project. Second thing is to set a path for test image so that i can test the model. these are very little task so i need someone who can transfer

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    perform RNN (recurrent neural network) on dataset in python using LSTM pr GRU

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    I'm getting "nan" as loss value while training my LSTM model...getting "nan" as loss value while training my LSTM model. Im have a dataset of 3648 rows. Number of LSTM layer : 4 Number of neurons in one LSTM : 50 Dropout : 0.2 Optimizer : Adam Loss : mean_squared_error Epochs : 100 batch size : 32. Please find attached the source code and the dataset.

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    Hi Joao S., you did some medical stats for my wife recently. She has now a new dataset. Could you do that? For somebody of your calibre it should be a matter of just a few minutes. Best regards Peter

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    Project requirement is very simple. The only skill needed is to read and speak Burmese fluently (native speaker). We will provide a 24000+ Burmese sentences, you just have to read the sentence aloud and record it. We will provide a dedicated Android app to make the process faster. A few requirements - #1 - Total audio duration: 39 hours #2 - Total number of different speakers: 10-15 person (eac...

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    I need to write and implement the baseline algorithm in the attached paper "Efficient and Load Balancing Strategy for Task Scheduling in Spatial Crowdsourcing" using java. then run it using dataset SCAWQ please add the comments for each step in the code.

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    ...large dataset of forex quotes that I have. The file with the dataset is attached. I need the 14 period RSI calculated, the 20 period CCI calculated, the 16 period ADX, the high minus the low, and the 8 and 34 period EMAs. Please tell me how much this would cost. Preferably also, I would be able to plug in different numbers to the original data I give

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    We have historical sales data for 45 retail stores located in different regions. Each store contains many departments, and you must project the sales for each department in each store. To add to the challenge, selected holiday markdown events are included in the dataset. These markdowns are known to affect sales, but it is challenging to predict which

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    Need to Build A symptom checker which can predict a disease / help in diagnosing a disease when symptoms r entered . Curate a disease symptom dataset and perform machine learning / data mining and create a model that can perform this particular task.

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    I have a large dataset with daily weather and pollution variables (~20 variables) over a 3 year period as well as data on daily hospital emergency department attendance over this same period. I would like to see how well one can predict patient attendance using this weather and pollution data. Multiple linear regression has not worked well enough to

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    Goal: we want to have a dataset of the best 750 restaurants in Amsterdam. This must be written in Python 3+ and the output should be a dataframe (or similar). 1. Go to: [login to view URL] a. If you scroll down you will see the rankings. In total there are 3604 restaurants in this

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    A recommender system using python and lenskit for a small dataset (from movielens) for practice and understanding, should be an easy task, not more than 100 lines of code.

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    ...collect dataset(sentence) from imdb movie synopsis section and then classify each sentence according to the 8 emotion classes(Joy,Sad,Anger,Surprise,Fear,Disgust,Love,Neutral). This has to be done manually. [I'm doing emotion classifier for movie synopsis for that I want dataset from imdb synospis (senetence) and then save it to a excel file ]. Mostly

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    Create a java application, plotting datasets into an interactive map and then comparing graphs year by year, make a word cloud appear somewhere on the application. Word cloud associates with the topic of road traffic accidents / car accidents when a user starts to type into a search box. Scatter graphs comparing months of each dataset to look for patterns

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    R multithreading expertise required to conduct basic analysis on a large dataset.

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    To Train Face detection model based on Deep learning CNN. The purpose ...purpose of this face detection model is to detect accurately faces in Occlusion . To do that . A model has to be trained on large datasets which contains occluded faces. The dataset is partially prepared and not yet available . there is still need to do ground truth labeling.

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    Hello, You can see in the uploaded "[login to view URL]" how the DataSet should look like. The data should represent orders of a online fashion shop. One order can contain several articles. The generated DataSet can be simplified: OrderID can start with 1; ArticleID could be 1-50; deviceID is not needed; voucherAmount could just be 5, 15 or 30

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    ...incoming email is spam or ham. The idea is to create some tool which can be used as webservice over the internet which can take an email as input and filters it as spam or ham as well as show the amount of accuracy on the prediction. Also, using of different algorithms to test their accuracy and prediction score using classification matrix which can tell which

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    I am working on Tensorflow Api, and I have already trained my dataset. It works fine. But I have to crop the detected object and make some preprocess on it. It seems easy, because Tensroflow draws the detected object with green box as well. When I try to find the coordinates of the object it gives me numbers of range 0 to 1. When I put the coordinates

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    I have an Excel file with 19 columns, In each column, we have between 5 to 45 values. Each column has a header. Output: I would like a new Excel file where we would have the same number of columns, the same column headers and, on each line, we would have a different combination of values (these values will be picked from the values we have in the

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    [login to view URL] would like this converted to run on irrlicht in c++ using online dataset.

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