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    7,001 web bot source code activex chilkat prediction tugasan ditemui, harga dalam USD

    ...through a Web Service (SOAP or REST), so that it can be called from the driver app. The prototype of the driver app can be created as a desktop application and it must be possible to submit the four types of log listed above. The driver app should not connect directly to the database or the Log component, but all communication must be via the Web Service

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    I need a person, who can do a quick fix on a django application, the application has some prediction issues and always give the same output, which is because of some inputs changing somewhere, you have to find it and fix it. Should have experience with Pandas, sklearn, pca and django.

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    I'm wanting a prediction program made. With a really nice UI and lots of cool features. It would be used for a variety of uses and would generate it's data from a prediction poll using a pool of users. This data could be entered manually, or imported in, or later be fed to database with a scraper. It would allow for a group of individual bots/agents

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    i need a website that will give betting predictions to users who registers...the users should be able to register with their phone numbers directly and pay an amount of money(either weekly, monthly or yearly) to access the predictions. a user can also register as a superuser where he creates an account where pays for it monthly and posts his predictions for other people to see. the betting sports ...

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    I'm wanting a prediction program made. With a really nice UI and lots of cool features. It would be used for a variety of uses and would generate it's data from a prediction poll using a pool of users. This data could be entered manually, or imported in, or later be fed to database with a scraper. It would allow for a group of individual bots/agents

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    I have few workers dataset. Using this data set. Usecase : workers apply for job on my organizations. I approve the request looking at his skills. I want to create model which can help me to predict best possible location_id based on historical data. I have already created model but it's not giving good accuracy. would be glad to assist in development as well. Need to be done in Python I ...

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    I posted a new job you can bid on. Prediction models with web UI, dashboard, Django,

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    I'm wanting a prediction program made. With a really nice UI and lots of cool features. It would be used for a variety of uses and would generate it's data from a prediction poll using a pool of users. This data could be entered manually, or imported in, or later be fed to database with a scraper. It would allow for a group of individual bots/agents

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    my test pj 123 1 hari left

    Hello How are you? I want to discuss with you for an image data prediction task. I want to build a model which predicts the parameters of the images process as accurately as possible. The images contain a strings. So, to build a model f:X | -> Y^n where X is the images and Y is the parameter space and n=5. I have 100 image folders. Each folder contains

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    VB6 Project March 2019 20 jam left
    DISAHKAN

    ...the languages. You will be giving a development environment on a VM with VS 2013, VS2015, VS2017 and VB6 on it. The current build has build errors with missing Microsoft VB6 activex controls that are no longer available and other issues. We are in a rush and need someone to start work on this immediately and at least 6+ hours per day until the app is

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    Hi shivam this is additional payment for job failure prediction using RNN and LSTM using google trace [log masuk untuk melihat URL] give you a brief on the call.

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    I would like to order a program that would use a deep neural network/machine learning to predict a set of numbers more likely to be drawn in a specific lottery. The game is based on 36 balls being loaded into a chamber and one ball being selected at random from the grouping. The game is run four (4) times each day seven (6) days per week always 1 through 36 balls. Attached is the data set within a...

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    Prediction Tamat left

    This app will predicte who will win

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    Build a betting website. Tipsters can predict matches and get points awarded for the most winning prediction(s), there will be a leaderboard to show points accrued. It should be possible to subscribe to tipsters profile by paying so that users who subscribe can have access to Tipsters private game/match selections in real time.

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    Can we predict re...predict retail sales using photos of models past and future? I will give 2000-3000 photos of earrings and their sales performance to construct the model .I want to get a prediction on another 1000 photos of earrings as control group. If the model can predict 65% of the most best selling 200 of 1000 photos, it will be good enough.

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    ...need to be a UML designed for a traffic flow prediction system based on machine learning. In this system the traffic of a road is observed using the VDS points and the upcoming traffic is predicted according to the recent flow and the weather conditions as well. I need a full UML design for this. Prediction algorithms are used: SVM, LSTM and ANN Only

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    ...elements that would make the business appealing to potential investors. The Executive Summary should cover the following: Business History (None, but can be included as a prediction for the first 3 months which operations must adopt) Current Situation How Funds from investors will be used Reasons why an investor should fund the business

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    It is a data analytics project, to explore and deep analysis and predict the housing price of King country open dataset. by using SVR-GA support vector regression with genetic algorithm

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    ...change in the source code. which can be done following methods utilized in the below articles. - Features to consider would include the name of the author that introduced the change, the codechurn, number of changes a line of code has experienced. Articles - A Comparative Analysis of the Efficiency of Change Metrics and Static Code Attributes for

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    ...alerts #4)Also the Application we can include Charts,Graphs to compare Historical Values #5)News Feed we can integrate to give you Future Prediction #6)We can integrate Analyst Tracking tool to give you analyst prediction on prices. #7)Stock screener to provide list of stocks based on Market Trend. #8)Analytics- When it comes to fundamental analysis — that

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    I would order a program that would use a deep neural network to predict a numbers from a lottery. 15 numbers out of 25 (1 to 25). Based on history results stored (see attached file). I need the program to be easy to use, and to allow me to add new historical results and alter the results based on new data I add to it. I need the program to run under windows and use GPU (nvidia CUDA) for faster c...

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    ...have Matlab code that process the data and produce output. All I need is GUI built in the same MATLAB code that I have. Here are the following needed windows: -Input button: user can select one out of 6 patients list. (Currently I only have one patient, that is hard coded, but the rest can be adding later on) -Run Button: runs the code. -Active Channels

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    Classical and new models, must be very familiar with them and also GD and loss. Python only. Project involves prediction, models, (complex) and fix broken code.

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    An every day dynamic calculation of how many days we have until we run out of stock according to two given data - future sales (prediction) & quantity in stock TODAY. Please see the video I attached for better understanding of what's needed: [log masuk untuk melihat URL]

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    I need a new website. I need you to design and build my [log masuk untuk melihat URL] Blogs & Prediction

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    Classical and new models, must be very familiar with them. Python only. Project involves prediction the future trends, (complex) and fix broken code.

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    Take standard data set of corona [log masuk untuk melihat URL] image parameters which can used as indicators to estimate the corona power. DWT based image segmentation ...indicators to estimate the corona power. DWT based image segmentation can use. The parameters from corona images should share a unique relation with measured corona power and for prediction analysis

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    Build an example of the following formula: A product sells X sales a day. We have a sales prediction for the next year, day by day. Make an example of excel spread sheet with a formula that will calculate how many days left before we're out of stock base on last 10 days sales. You can make up the numbers. I just need the excel formula.

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    ...report on their comparative ability to predict a defaulted loan, and also on how easy it would be for the insurance company to understand the model and the reasons behind each prediction it makes. Results and Errors Analyse and describe the level of accuracy the model achieves and the errors your model makes. Show a confusion matrix for each model. Are there

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    It should display the disease when we give a certain symptoms

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    I need a deep learning network to predict 3 outputs using 3 inputs. The network ought to be as simple as possible that gives accurate results. The input ...The input and output data files are here: 3 input columns: [log masuk untuk melihat URL] 3 output columns: [log masuk untuk melihat URL] It has to be written in python keras and tensorflow language. Prediction must be robust.

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    Wind power prediction using cnn and LSTM.i have codes and structures needed to explain in [log masuk untuk melihat URL] mention it is regression? And it used BP algorithm or not.

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    I need help to build a model to predict the pedestrian path and show the past path as well

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    Ludo game app Tamat left

    Mujhe ek app chahiye spin prediction type ka.

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    Classical and new models, must be very familiar with them. Python only. Project involves prediction the future trends, (complex) and fix broken code.

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    Hi everyone., I am working on a deep learning project to predict human motion. I have a working code written in Python and Tensorflow that uses RNNs specifically, a seq2seq arch with one encoder and one decoder. However, I want to modify the code slightly to implement bi-directional encoder instead. Can anyone help me with that? Thanks.

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    My project is to predict stock price using k-nearest neighbor algorithm.

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    Stock prediction code. Python code for stock strategy. I need python code for stock strategy best accuracy

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    {URGENT} Make A LDA prediction for a dataset.

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    ...Classifying functions and sample prediction models will be provided to freelancer o Allow user to select which images to crop before classifying o User can crop and re-classify later • Take picture with camera and classify the single image o Allow user the option to crop image before classifying • Keep latest prediction model file in the cloud for easy

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    ...articles for an affiliation site. The macro areas would be: 1) News 2) History (i.e. this day 10 years ago this match was played) 3) Fantasy team pick suggestions 4) Prediction (i.e. what team will win IPL? Which country will win World Cup?) 5) Biopic (i.e. article on Sachin Tendulkar) 6) Gossip (i.e. movies, life of cricket players outside the

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    I would order a program that would use a deep neural network / machine learning to predict a numbers more likely to drawn in a specific lottery. 15 numbers out of 25. Based on history results stored in attached file (since 2003 until the last one). The results are in portuguese (date like dd/mm/yyyy, "bola" means "ball" that is the number in order it appears). The program cou...

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    Bet Planet Tamat left

    It is a android betting app where we post prediction for soccer match. And we need a logo for this app.

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    ...uCode, IPv6, URIs) iii. Comms / Transport (ex: Wifi, Bluetooth, LPWAN) iv. Discovery (ex: Physical Web, mDNS, DNS-SD) v. Data Protocols (ex: MQTT, CoAP, AMQP, Websocket, Node) vi. Device Management (ex: TR-069, OMA-DM) vii. Semantic (ex: JSON-LD, Web Thing Model) viii. Multi-layer Frameworks (ex: Alljoyn, IoTivity, Weave, Homekit) 15. Building and

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    Iot project Tamat left

    ...uCode, IPv6, URIs) iii. Comms / Transport (ex: Wifi, Bluetooth, LPWAN) iv. Discovery (ex: Physical Web, mDNS, DNS-SD) v. Data Protocols (ex: MQTT, CoAP, AMQP, Websocket, Node) vi. Device Management (ex: TR-069, OMA-DM) vii. Semantic (ex: JSON-LD, Web Thing Model) viii. Multi-layer Frameworks (ex: Alljoyn, IoTivity, Weave, Homekit) 15. Building and

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    ...and 8 with 0-4 decimal places, and some values may be NaN. Input to trained network is a vector of the type supplied for training. Output of trained network should be a prediction for each label, e.g., PRESENT 92%, NOT PRESENT 8%. Deliverables in order: 1) Your proposal for the classifier's design. This is just expected to be a short piece of writing;

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