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    3,092 predict program jobs fundet, i prisklassen EUR

    You will be implementing a framework that allows people to analyze and predict the prices of various classes of products. For instance, you may be tracking and analyzing the prices of various products on Amazon; the price of Bitcoin, or analyzing tweets about a particular hashtag.

    €152 (Avg Bid)
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    7 bud

    ...artificial intelligence will be like where no human effort will be required. Just you need to speak out. On the basis of suggestion and the information of current data helps to predict the outcome which enhances this feature. Personalization Capability artificial intelligence is here to understand the customer behavior in a short span of time. Based

    €8576 (Avg Bid)
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    99 bud

    Extracting region of interest(ROI) in the face from a dataset and training with svm, and then using the svm classifier to predict with unseen data..

    €117 (Avg Bid)
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    I have a neural network in R ... Currently within R I send my input to mynn this way: # make a single prediction x <- [login to view URL](5.1, 3.5, 1.4) names(x) <- c("Length", "Depth", "Height") prediction <- predict(mynn, x) I noticed there are several examples here [login to view URL], although I don't know how to construct the call above.

    €54 (Avg Bid)
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    2 bud

    There are two time series and we need to predict one based on the other. The idea behind it is: the input series is very noisy, whereas the output is smoothen (apparently there is no obvious pattern). This happens for multiple locations, so we need to check which model fits best each location. We have a preference for Python, but R is fine as well

    €158 (Avg Bid)
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    32 bud

    Hi I am looking for some one with Neural Network experience using Jupytor Python Pytorch Three set data will be provided - Training, Tes...Three set data will be provided - Training, Test & validation. Load and preprocess the image dataset Train the image classifier on your dataset Use the trained classifier to predict image content Thanks Nathan

    €140 (Avg Bid)
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    8 bud

    ...person with the ability of building a blogging website from the scratch. Website features: [login to view URL] of the website: Fitness and body care from medical aspect. 2. I can predict 100 blogs and Vlogs which will be added gradually. A functional search engin to enable readers to find their sightly blog in seconds is essential. 3. Creatively designed, so

    €183 (Avg Bid)
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    42 bud

    1. Cluster stocks based on the price momentum by generating association rules 2. Use the clusters or association rules to determine the price momentum pattern 3. Develop a predictive model using SVM

    €141 (Avg Bid)
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    40 bud

    Friends and family get a different perspective of who we are and may be able to predict our behaviour. You just have to choose a series of questions to answer then share it with anyone. FAST, EASY, FREE AND WITHOUT REGISTRATION. Then your friends and family will try to answer those questions. You can see their score in scorecard. That way you can know

    €2 / hr (Avg Bid)
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    2 bud
    Web development 2 hours left

    I need you to design and build a course website and people can come and take the course. It needs some basic logicsWe also need to predict the scores.

    €302 (Avg Bid)
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    24 bud

    reference: [login to view URL],cindicator app User panel: Signup Login Predict Prediction history Leaderboard Current points Winings of the month Total winnings Admin: User verification Post the questions Post the answers Automatic point system Prize pool distribution

    €334 (Avg Bid)
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    5 bud

    reference: [login to view URL],cindicator app User panel: Signup Login Predict Prediction history Leaderboard Current points Winings of the month Total winnings Admin: User verification Post the questions Post the answers Automatic point system Prize pool distribution

    €858 (Avg Bid)
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    3 bud

    I am looking for someone to help me build a deep neural network using Keras and apache spark to predict the highs and lows of 10 minute candles for forex pairs. I have 5 computer I will need to set up to run the machine learning in parallel.

    €755 (Avg Bid)
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    5 bud

    In order to predict the behaviour of rainfall runoff, it is important to identify the runoff surfaces which are divided into two main categories: impermeable (for example, roads or roofs); and permeable (for example grass). This identification helps in the indication of the amount of runoff volume, which is the part of the rainfall which is not absorbed

    €177 (Avg Bid)
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    5 bud

    ...mathematical models and scientific analysis to predict and measure possible outcomes • Store, retrieve and manipulate data to understand system capabilities and requirements • Direct software system testing, validation procedures, application and system documentation and programming to ensure normal program functioning • Manage the work of technologists

    €3 / hr (Avg Bid)
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    15 bud

    The Groundwater Modeler shall develop a groundwater model that would make use of the compiled hydrogeological knowledge base to predict potential impacts on the groundwater resources of changes in groundwater abstractions and to help identify areas impacted by pollution to be used in various water management plans for both urban and peri-urban areas

    €20792 (Avg Bid)
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    ...signup and register and post there betting tips from a defined list of events determined by the admin. The admin will set x amount of events each day week etc ,members have to predict the outcome of the events. Each event will have a time limit for example if the event starts at 3pm Saturday then all entries have to be in before that time and day. There

    €615 (Avg Bid)
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    ...the project: 1- Facial recognition. 2- Bind information with the picture. 3- Artificial intelligence that can predict the customer destination based on his previous trips. 4- Store data on a cloud database. The suggested layout of the program is attached. Information and facial recognition are stored on a remote database (cloud). Booking times are pre-defined

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    26 bud

    It will be a quiz platform where gamers can predict the answer and they will get the reward as a credit. Answers will be locked before the 24hr when the result will be announced. Gamers will predict the answers through the graph.

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    It will be a quiz platform where gamers can predict the answer and they will get the reward as a credit. Answers will be locked before the 24hr when the result will be announced. Gamers will predict the answers through the graph.

    €69 (Avg Bid)
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    I have sales data for 3 months which I need to be sorted into pivots or graphs by product so that I can predict future volumes. I have also some work, in an Excel spreadsheet. Create a database in excel with macros

    €25 / hr (Avg Bid)
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    5 bud

    We have a model which run LSTM and other things to predict the price of stock and crypto for a next day. We have to increase its accuracy using Sentimental analysis and Bayesian optimization a desire level. More details will be provide during discussion. Developer should have prior experience in sentimental analysis. This project required sound knowledge

    €433 (Avg Bid)
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    24 bud

    ...left to right and top to bottom. The fonts I am looking for are as follows: Poster #2: MOVING Poster #4: WORD Poster #5: EVERY Poster #7: PRACTICE Poster #8: TWO Poster #10: PREDICT Poster #12: LITTLE Poster #13: MISTAKE Poster #14: POSTAGE Poster #15: SUCCESS If you can show me that you can draw or recreate these fonts or if you have similar fonts in

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    6 bud

    Acid mine drainages (AMDs) on mining sites pos...remain to be addressed with regard to mechanistic modelling of complex heavy metal removal processes. In this project, you are expected to: (a) develop mathematical models to predict the removal of Mn, Fe in a subsurface flow constructed wetland, and (b) verify the models using data from the literatures

    €223 (Avg Bid)
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    What are the Inputs Factors influencing ANOVA (GLM) Results in an Production Optimization experiment? I want to predict the important production parameters affecting my production process (Sheet metal Rolling) and product end properties (Yield Strength - Dependent Parameter). The independent parameters are, Chemical Comp. - Si, Mg, Fe etc, Hot

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    24 bud

    I have a large set of labeled historical data. I'd like to have an algorithm that can classify (predict) new examples. I'm familiar with simple classification algorithms like K-nearest neighbour. It's probably too simple, but an algorithm with the same outcome would be ideal I'll provide an example dataset bidders I am interested in It should be

    €333 (Avg Bid)
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    We have a model which run LSTM and other things to predict the price of stock and crypto for a next day. We have to increase its accuracy using Sentimental analysis, Bayesian optimization and reinforcement learning to a desire level. More details will be provide during discussion.

    €947 (Avg Bid)
    NDA
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    29 bud

    ...growing problem with increasing customer defections above industry average. The churn issue is most acute in the SME division and thus they want it to be the first priority. Predict the customers which are most likely to churn. Task: Find the churn issue Build the model and suggest actions Data provided: Training model – dataset which includes

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    I am working outsoucesing ..One of my client need same thing as per my Qoute " I need pythone Al Modeule to predict number base on prevoius Data" please if you can do...Tell me and what you need to finish this task

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    I have a project I have been working on for a bit. It's intent is to predict stock prices. I was working with someone on this but he had some issues to attend to. I would like to continue the project if possible. I am on the next iteration. The site is rjgoptions.com. This piece of the project will be on the tab called "Stock Game". This is where

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    9 bud

    ...of assumptions and model data. Systematic development of the model equations and their detailed analysis. To be done for a Dissolved oxygen vessel where the model will predict the temperature and oxygen level in a continuous process oxygenating an effluent stream as inlet flow rate conditions change (temperature and rate). No need for numerical

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    ...to churn. Classify these customers into two classes: those which you predict to churn are to be labelled "1" and the remaining customers should be labelled "0" in the result template. Use the ROC curve and Brier scoring Further: Will a 20% discount offered to customers predict to be a good measure for churn (assuming it’s applied to all customers)

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    ... Our professional writing evaluation team has read thousands of PTE essays and summaries. We know what the computer program is looking for when assessing PTE writings and trained evaluators at Benchmark Education can help you predict and improve your score with constructive feedback guaranteed on every writing task. If you’re tired of studying endlessly

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    i need to develop a model that can be able to predict football outcome to help in betting. must have success rate of over 90%. sample needed. If your sample is great we will go ahead to development of a programme tht can scarp data from the internet to feed into the model to show expected results.

    €646 (Avg Bid)
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    11 bud

    ...growing problem with increasing customer defections above industry average. The churn issue is most acute in the SME division and thus they want it to be the first priority. Predict the customers which are most likely to churn. Task: Find the churn issue Build the model and suggest actions Data provided: Training model – dataset which includes features

    €122 (Avg Bid)
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    9 bud

    ...to apply CountVectorizer + Tdf idf transformation) content_len => interger You should use FeatureUnion to make pipeline. And I need to preprocessing all these features to predict : ['var_m1', 'var_m5' , 'var_m15', 'var_m30', 'var_m45', 'var_h1', 'var_h2', 'var_h3', 'var_h4'] var_xx = float The...

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    I need a program that can analyze financial data for any stock. I want it to tell me potentional resistance points and price targets, ranges and direction based on the equity and NASDAQ index. Should use real time data. I want it to run on my PC using deep learning. I dont care how long it takes to process, but hopefully no more then 10 minutes

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    ... Inc. is a conservation analytics and environmental monitoring company. We analyze satellite imagery to identify conservation opportunities, monitor ecosystem health, and predict environmental change. Our mission is to promote sustainable ecosystem management by improving how landowners invest in development, conservation, and environmental monitoring

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    Haster
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    ...neural network using open source tools, and demonstrate it works using a sample dataset (we will provide the data). The project: Our objective is to use machine learning to predict qualitative characteristics using quantitative attributes. We currently have a dataset of products which have been tested. Our dataset can be broken into 3 groups: 1) quantitative

    €26 / hr (Avg Bid)
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    I am looking for someone who can help me with this project. The aim of the project is to apply machine learning to predict output of football matches. Various preprocessing dataset tecniques to be used to process data and apply machine learning algorithm to get an accuracy of about 90%. Need this by 2nd sept.

    €167 (Avg Bid)
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    Hi, I was looking for someone who can help me predict forex charts and tell me which way they will go next.

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    1 bud

    Hi, I was looking for someone who can help me predict forex charts and tell me which way they will go next.

    €9 / hr (Avg Bid)
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    1 bud

    Hi, I was looking for someone who can help me predict forex charts and tell me which way they will go next.

    €9 / hr (Avg Bid)
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    1 bud

    Looking to develop an algorithm that would accurately predict the Indian stock market movement and would help me in making good profit

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    12 bud

    I have sales data for 3 months which I need to be sorted into pivots or graphs by product so that I can predict future volumes.

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    I have sales data for 3 months which I need to be sorted into pivots or graphs by product so that I can predict future volumes.

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    69 bud

    The aim of this project is to create a model, using deep machine learning, to predict the outcomes of professional Dota 2 matches. By looking at the players and teams playing, as well as each player’s in-game heroes, we should be able to predict the outcomes of matches better than the bookmakers. The goal from this task should be to accurately output

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    The problem was that a certain dataset was very skewed and had many many more instances of good loans than bad loans (<5%) and the objective was to predict bad loans. Implement a generic function (that would work on any such dataset) with comments that takes n splits from the dataset such that each split is unique and contains an almost equal number

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    This is a data science project, where most of the code is already written and you have to come up with certain features to predict the price of a stock.

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    8 bud