# Predict programJobs

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I have a monadic dataset of alliances where I am trying to predict secret alliances and I claim that prior experience with alliances, prior secret alliances, and having previously made an alliance with another state in the alliance in the past increases the probability of a state making a secret alliance in the future. I have already coded the previous

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...library of brain scans from a public site and the program should identify and figure out which ones are in which stage and give some predictions. Once this is done then the program has to have some sort of machine learning algorithm which will predict the future of a patient looking at any brain scan and predict the probability of the person getting Alzheimer

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...numbers to current and understanding how we can evaluate the savings made by building a centralized facility compared to its working operations before. - We need to then predict through future development what it means to the overall facility if there is 30% more volume placed on top of its current working demand. and what that means in terms of staff

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I'm analysing the number of deaths of cancer patients in England. From this, I am trying to build a simple mathematical model to predict their life expectancy. Based on this model, I need to develop a methodolgy for fair premium calculation for such clients, based on the type of cancer they have been diagnosed, their age, how much cover they would

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...values did you use to determine these depths? Justify. 5) Evaluate the channel stability under the flow rates determined above, pretending there is no vegetation, would you predict erosion? You will have to assume a channel d50. Evaluate the rip-rap stability at the bottom of the swale (below the last weirs). 6) Provide an analysis of culvert flow (type

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Data Mining 1 5 dage left

...words) The ‘Hepatitis’ Data set (provided in arff. Format. Will send seperately) contains information about patients affected by the Hepatitis disease. The task is to predict if these patients have or have not hepatitis (Histology: Yes or No). You should use the Weka data mining package, which is installed in the university computers and also

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Data Mining 5 dage left

...words) The ‘Hepatitis’ Data set (provided in arff. Format. Will send seperately) contains information about patients affected by the Hepatitis disease. The task is to predict if these patients have or have not hepatitis (Histology: Yes or No). You should use the Weka data mining package, which is installed in the university computers and also

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Data Science - Forecasting 4 dage left
VERIFICERET

Project involves analysing past Retail Sales Data to Predict Future Values. Specifically, 1. Analyse historic Sales and Stock Data. 2. Identify clean / unclean data elements (especially on Stock entries, because they are not verifiable) 3. Build a predictive model to forecast a) Sales b) Stock-out 4. Develop an efficient visualization mechanism

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...te-chart-from-excel-for/?w=f#/management ) I want your help in creating a report that uses data about Outdoor Advertising and Traffic to predict locations at which Billboards etc are to be deployed and predict the pricing. The story also has to come out in the report too. The results are out and the executive summary is already frozen, but we want

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...rain the rest of the year. African tropical savannas contain enormous herds of grazing and browsing animals such as wildebeests, gazelles, zebras, giraffes and antelopes. To predict and explain the type of biome found in a given area we need to know all the factors stated above (location -determined by latitude and longitude-, temperature, precipitation

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...About HOFr. HOFr is a live sports prediction game show that runs in advance of major sports events. Tune in to hear the live host’s commentary on the upcoming match and then predict a set of outcomes to compete for a cash prize. Responsibilities * Educate team members on proper application of agile testing processes (e.g., black box and white box testing

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Kalman Based Predictor 3 dage left
VERIFICERET

Need to predict the future trajectory using Kalman based prediction as data taken from the vision sensor [Already have the data].

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Clean and prepare data for machine learning. Explore data to look for correlations between the features and the target variable. Apply machine learning algorithms to the task of regression/prediction. Improve on skills and competencies required to compare the performance of prediction algorithms. Improve the performance of your model.

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Exchange Rate API / Web browser 2 dage left
VERIFICERET

Dear all, I'm looking for someone who can develop a Raspberry Pi API (Py...on different news pages for keywords which indicates a falling or rising exchange rate. First of all it should be a very simple prototype to take a look if its possible to predict the rates but after a few good results I would like to expand the project with some more features.

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I have data, feature engineering is done. Just want to create model using ATR autoregressive tree to predict price. Less than 1 hour job. I dont have python script.

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Looking to build a model that gives a daily price prediction for 2 stocks using tensorflow and python or R. The two stocks we wish to predict are SQQQ and TQQQ on the NASDAQ. At 10.00pm Sydney time each night I want a direction prediction and a price prediction for both SQQQ & TQQQ. They are 3x leveraged ETFs which are driven by the change in the

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iPuntSmart 1 dag left

...who bets on sporting events like racehorse events, football, NFL, AFL baseball, basketball ...etc - the list goes on. The site name iPuntSmart. We use algorithmic models to predict the outcome of these events. We need a logo that incorporates the name plus something that can be used as in icon form. Your catchy and appealing design that somehow embodies

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69 indlæg

...such data using zero-shot learning to build a model to predict the relationship (second term in the triple). Zero-shot model known for the ability to predict objects that do not exist in the training set and that is what I want. For example, given the triple (man - .... - USA) the model should predict (lives) even if the relationship (lives) did not appear

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A recent publication on human pose estimation uses sensor information to predict human body poses. Currently all the (Python) code and data is available on github. I have managed to run the code however I need to make some minor modifications to apply it on my own data and get results. Details will be provided if a suitable candidate can help. This

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At least five quantitative variables, but not more than 8 variables total. The minimum number of cases is 40 for this exercise.

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I have data on selected ...the data in each specific section. The student must use regression analysis in part 1 of the analysis. In part 2, the student will use any of the forecasting techniques to predict home sales for 2017. If the data has trends, the student should use exponential smoothing with trends as the chosen techniques to do the analysis.

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Hi team, I have 2 images that I need some basic photoshop for. I predict this will take 10-20mins. Not a big job

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...is creative...) tab 2/ part 2 : Analytics - i need you to run a small machine learning algorithm based on (GDP/Population/Country) to do a regression/clustering model to predict/visualise on results for (summer 2020) olympics.. my budget is 10\$-30\$ only. time frame ( 1 week) 1) i need a Ui.R and Server.R file 2) i need each codes well commented

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Symptom Checker Udløbet left

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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C# Expense database Udløbet left

The program is a basic GUI which must require the user to save their expenses on a local sql database that is then displayed on a datagrid with 'Expense' and d-m-y. On top of that, the program should allow the user to predict the expected outcome from the database with a calculation

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The project aims to predict the use of contraception in response to each dollar spent on demand generation through mass media, digital media or other channels.

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Java problems Udløbet left

...done. For instance, you want to be reminded of submitting the PA whenever your are in college, or buy a new notebook when you visit a speci c bookstore. Because you can never predict the exact position where you will be, you want the noti cation to be sent to you whenever your are in the area surrounding the location The class GPS (given to you with this

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requirement is to develop an algorithm and code to predict the health of a patient. through some symptoms

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I am surveying on a topic Software Cost Estimations with Machine Learning models. And I came to know that LSTM can be used to predict time series/schedule for a software project from an open dataset. Can anyone please explain to me how this can be achieved?

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Using Machine Learning to Predict Car Accident Risk. I need a program with GUI written in Python using Machine Learning and Neural Networks to predict car accident. The data will be on excel file (day,time,vehicle,sex,weather etc. about 30-50 conditions). The program must compare several models and as a result to export on map and on plots prediction

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...expenses, produce reports, and can also be used to predict your financial status at a future date based on your expense patterns. I have attached the design document in order to help understand what needs to be built. It is a simple application to be able to manage the income and expenses and also predict a future finance status based on the incomes and

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I have a dataset which has 71 features including a target features(variable). we need to predict the target variable. contact me for further details and dataset.

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...Traintown and will then be used to profile the characteristics of three further towns A, B and C. In your solution you need to pay attention to the ease-of-use of the Java program. The application will provide the following functionality for a basic solution: 1. The input of data through the keyboard 2. Selection of independent variable, Xi to be used

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Predict the loan_status(0 or 1) for the approved loans data. Based on the data given Project should be done using Hadoop Map reduce and Logistic regression If you cannot do using logistic regression then choose any other supervised machine learning technique. Train and Test data are given. Use train data to train and test data to test Use Python or

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The task is to "Predict the results of vocabulary test using participants demographic features and neural network model."

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...your are near the place where they should be done. For instance, you want to be reminded of buying a new notebook when you visit a specific bookstore. Because you can never predict the exact position where you will be, you want the notification to be sent to you whenever your are in the area surrounding the location (detailed files will be sent in chat

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...print-access-token)" -H "Content-Type: application/json" [log ind for at se URL]:predict -d '{ "payload" : { "textSnippet": { "content": "YOUR TEXT HERE", "mime_type": "text/plain" }, }

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I have a data science job where I need to predict the best campaign base on the data. I need someone who can help me with the prediction and give me the desire out. if the possible job can be done in the least possible time. I need python code for that.

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...research on the impact of the injection molding process parameters on the component result 2. Literature research on applications of machine learning in injection molding to predict component quality and machine learning in other production engineering technologies 3. Research and identification of suitable key figures to assess the component quality of

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I need help on a task based on the reference_paper Task 4:Predict attribute labels To predict the attributes for each ‘Action’ token in 4 categories: ‘ActionName’,‘Capability’, ‘StrategicObjectives’, and ‘TacticalObjectives’. Different set of sentences, their token labels,and their relation labels will be provided for this...

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App or website where customers can digitally and visually model the flow characteristics of their product so they can predict how it will behave on their real machines

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...done. For instance, you want to be reminded of submitting the PA whenever your are in college, or buy a new notebook when you visit a speci c bookstore. Because you can never predict the exact position where you will be, you want the noti cation to be sent to you whenever your are in the area surrounding the location. More info and classes will be discussed

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...shortest, safest and most fuel-efficient routes based on information about things like weather and any obstacles that might be in a ship’s way.” Develop new technology that can predict malfunctions, reduce maritime accidents and improve efficiency....

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In this project, you will implement a Scheme functions to generate the correct PREDICT sets for random, correctly-written, LL(1) grammars. Your functions will return the correct FIRST, FOLLOW, and PREDICT sets for the grammar given.

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I am looking for someone who is expert in Hadoop Map Reduce, Machine Learning and Pytho...to help me in Loan default prediction with Map Reduce using any machine learning model and Java/Python programming language in Hadoop cluster. Loan default prediction is to predict whether the customer is going to pay the loan back or not based on the data given.

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...following to be done: 1. read all images 2. predict them using those pertained models (vgg16, vgg19, resent ,MobileNet) 3. save the result of the prediction , for each image , for each model 4. in new variable calculate the commutative prediction value for all (vgg16, vgg19, resent ,MobileNet) 5. The program should support any kind of images (including

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Machine learning Udløbet left

I want to predict a variable in my data, base on others variables, like a multiple linear regresion using python

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Train a LSTM model Udløbet left

I need someone to train an LSTM model for me for crypto market price predication. The model should be able to predict the price/trend of the price in the next x time (e.g. 30 minutes) using the data for the past y time (e.g. 6 hours). Getting a probability of price movement would be nice as well. The model should be multivariant and be able to accept

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...play the Fantasy Premier League (FPL) game (which is played by over 5 million people worldwide) we have a webpage at [log ind for at se URL] that attempts to predict which footballers' prices will change within the FPL game. The more popular the player is (based on 'transfers in' or 'transfers out') the more likely the player's price within

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