Want to know the most commonly used algorithms which can be applied to any data issue? Here's the list.
There are 30 satellite pictures of houses and 25 corresponding labels that indicate the roofs. Take those 25 data points and ...corresponding labels that indicate the roofs. Take those 25 data points and train a neural network on them Please evaluate your network on the 5 remaining test images by making predictions of the roofs. I need it done asap.
I have thousands of CSV files containing 75 rows / 6 colums of integer data. Ea...loss method etc to be used in this scenario and what other options can be tried if the model fails to make accurate predictions. - how to scale down the amount of training data if necessary due to hardware limitations Accurate predictions is obviously not a requirement!
Create a website for sport predictions. Must be easy to understand the website at first look. Information and prices must be added. I have all the logic for the site and what needs shown. Who can help me set this up without breaking the bank. Not spending more than 100 for this. Simple website with some designs
Create a website for sport predictions. Must be easy to understand the website at first look. Information and prices must be added. I have all the logic for the site and what needs shown. Who can help me set this up without breaking the bank
We are keen to have a live odds page added to our website to include odds from at least one online bookmaker as per our predictions. The live odds will firstly be based on football (soccer) but the option to include other sports like boxing, rugby, tennis etc would be available at a later date. The live odds will be placed upon a certain page on
Requireme...classification techniques and generates the output into a sheet 4. User should be able to download the result sheet 5. When the project is deployed for a while and making predictions , how will we incorporate the feedback so as to retrain and improve the model with time. Requirement is ASAP and needs to be delivered by tomorrow morning.
...program, if I need cuda etc... 3. Please don't ask what this project is specifically about. Having said that it might be important to know for neuron weighting that these predictions will always be approximate because the correct answers will have a large amount of variable outcomes. Example: Like a marathon with multiple runners, we could guess the fastest
...there should be the prediction integrated ([se connecter pour voir l'URL] could be used). The prediction should then result in a new file. Maybe there has to be a id to link datasets to predictions. There should be training loops and an output of quality of prediction within the evaluation of the model. All files are structed as follows: 48 cols of measures/features
I have a set of prediction data that I want to use deep learning (including but not limited to tensorflow) to analyze and improve, for ex, determine which predictions more likely correct. I want it to look for numerous patterns such as if right one day the chances are higher or lower it is right the next day and so on. Bottom line I want to be able
...you accept the project conditions. The amount I have is $ 250 for this project. Larger values will not be considered. 1. I have a model that makes predictions. 2. This model makes predictions of 3 data (BANK, BUSINESS and VALUES) 3. I compiled the results of my model in percentage of error; 3.1 To know the model's accuracy, I removed
Needing help to pr...time series analysis and search of patterns with DTW. Once clear if the two time series have similar trends (patterns), I want to make predictions using Granger Causality Test, to see if I can make sound predictions about the other market. This would be made exclusively with R. I have two time series with different length in time.
Have a data set, need to do some basic overall data analysis, and some statistical predictions. Can use R or Python only. More details when we connect.
I've spend time retraining the Inception network as proof of concept for a project. Now I...project. Now I need someone to set up an entire ecosystem for me that will allow for easy retraining of the network, deployment of newly trained models and an API for running predictions. Using Google ML would be fine - I'm open to other suggestions as well.
...([se connecter pour voir l'URL]) 2. A deep learning model (estimator) written in tensorflow framework. 3. A swagger api application that connects to exported model and serves predictions using REST. The way its supposed to work is to that dataflow pre processes the data from one folder and saves it into another. Deep learning model trains on that data and
I want a football bet prediction app which i can be able to submit daily bet predictions as those previous can also be viewed within the [se connecter pour voir l'URL] if you can do this quickly. It should be in such format below:
Looking for a responsive website where I’ll publish my predictions for coming soccer games in various leagues. I have the backend data in an Azure database updated every 5 minutes and looking for this site to refresh/update every 5 mins with latest data. My goal is to have a simple and mobile friendly website that users can easily navigate. Looking
...filtering need to be simulated in MATLAB with Weighting for sidelobe control. You need to find Losses due to weighting using simulation and compared against theoretical predictions. Finally, I need you to demonstrate the range-Doppler coupling effect and, possibly, a way to correct range measurements for this effect in matlab. Also you need to submit
... Build an application to make efficient use of medical vocabularies Design a visualization framework for visualizing the medical tweets which can then be used to make predictions related to disease outbreak Complete end-to-end integration of all the applications which gives the user an option to start/stop database, invoke vocabulary tools and visualization
...health of the economy and some statistics about individual sectors of the economy that are helping or hurting the overall economy. It may also include statistics about predictions for the future economy. It must demonstrate your understanding of the tools that the Fed and the government can use to direct or impact the economy. Make it concise but