Tensorflow predict jobs
I want to predict and create a new column named Proposed_Telephone_Country based on the phone number. Note:- Phone number may or may not start with ISO code/ Country code. We dont know which phone number belongs to which country, hence if it matches to multiple countries i would need all the matches to be populated in the country column. I have tried using phone numbers library- geocoder and phone-iso 3166 library in python but it only predict numbers where the initials represents country code/iso code. For ex.. +61406034*** will show AU but 0406034*** (local format) will show nothing.
I am decided to use solar PV energy prediction based on the weather and solar panel position and also predict the cost saving for residential households using machine learning, I am not sure is this correct one or is it very broader ?
I have a video dataset of degassing process one of the stages in the steel manufacturing process, from the dataset using deep learning techniques you need to predict when the slag is going to foam (bubbling).
Collect data of the past year from StackOverflow using any of the libraries listed for StackExchangeAPI. Submit your comparative analysis report for the results.
...show how the average and standard deviation of the dependent across the categories of the independent variable). Perform Regression Analysis to predict or classify. Start with all the independent variables in the model. Remove variables that are not significant (high p-values). If several variables are not significant, do not remove all the insignificant ones at once. Remove those with the highest p-values first, and try regression again. Examine the output again, and repeat until you only have variables that have a p-value less than 0.05. Results Write out the regression model and interpret it. Show an example of how you would use the model to predict the dependent for a set of values of the independent variables. Evaluate the model using R-square (and/or Standard Error)....
I need someone who is very good at machine learning and data analysis and has proven experience For this project, I have various crypto assets which has prices split into 3 minute epochs of data (The data is taken from lots of exchanges) Each epoch has approx 3 minutes of data and various...score accuracy, generated prices are round to 5 decimal places and if inside the upper/lower quartile range, gets 1 point. If exactly the lower or quartile range price, 0.5 point. If outside, 0 points. 0.6 average points or above over all assets and epochs would be a good result and would be what I'm aiming for. If possible, higher. So I need ML learning to be applied to analyse the data and predict what that price will be The deadline is flexible but I would ideally like the work done w...
I attached the code, sample data, and project details. The sample data is the tracking data of fishing boats. I want to predict the position after 15 minutes through an input set (6 variables)of 1440 data, that is, 1440 minutes (= one day). The target variables are longitude and latitude. I want to build a deep learning model based on ‘Attention’. I tried to build a GRU model. It was running well. However, However, in the code with the Attention model, some errors occur. Could you fix the errors?
Require a python programmer professional in Keras or TensorFlow to develop a python code into a library and makes it general that any new dataset can be applied to a specific deep neural network model.
I Need camera detection that can analyze pictures taken of coins, (pennies, quarters, dimes, nickels) and find the date year, and mint mark Will have to have to be able to process images taken of all rotations, meaning if the coin is upside and the date is upside down, it will have to be able to find it...according to their years but I will worry about that, just needs to be integratable for that project. Also, There will be two sides of the coins taken per processing, the heads and the tails because sometimes the tails have dates for certain coins. We can use annotated images I have for pennies already to find the location of the year, the location of the mint mark, and what mint mark. Maybe use TensorFlow and annotation, and then use an OCR that's smart enough to read the ye...
Hello. I need a dev that would develop a simple deep learning model that would predict the electricity price in italy. I built the entire dataset with something less than 9000 rows. In this dataset there are the following data that go from 1 September 2021 to 30 September 2022. The features are the following: 1) Datetime 2) Energy Demand 3) Petroil and Gas features price 4)Climatic Data on three cities 5) Rewenable Energy Production 6) The data to predict: Hourly Electricity price. I need someone that does the following things: 1) Select the most accurated model (LSTM or any other) and setup anything in the most accurated way (epochs, number of layers etc...) 2) Apply all hyperparameters in order to improve the accuracy 3) Reach a reasonable accuracy (at least 0.80) 4) Save...
...Universe. They are billions of years old and have been shaped over their lifetimes by interactions within the galaxy and with other galaxies. Astronomers estimate that there are between 100 billion and 200 billion galaxies in our Universe. Scientists do not know for sure how galaxies formed and evolved into the shapes we see today, but they have theories about their origins and evolutions. Scientists predict that the early Universe was mainly filled with hydrogen and helium, though not uniformly dispersed. Some areas were denser than others. These dense regions allowed for hydrogen and helium to accumulate into small clouds that eventually collapse under their gravity. This formed the first generation of stars. These clouds continued to collapse and form stars, as well as be grav...
Looking for a mentor who has a good knowledge of the forex markets Also if they know a counting candle system and measuring candles to predict reversals and trends.
Sustainability Energy and environmental Management Industrial Heat Recovery Module learning outcomes to be assessed: • Evaluate the appropriateness of methodologies that can be applied to allow companies to operate in a more sustainable manner. • Demonstrate the application of energy management techniques. • Predict pollution effects from the use of energy, evaluate methods of pollution reduction and synthesise different approaches to the use of alternative energy sources. FURTHER DETAIL WILL BE SHARED THROUGH PMB
Hi, the dataset has ~16000 rows of the purchase orders of products from the grocery store. Can you build a model that can predict the unit sales of each product in a week or a day?
I am looking to build a neural network using TensorFlow that can identify images of coins to their dates and mint mark, so like if I take a picture of a 1943 dime minted in denver, the robot will know that. Simple project, I already done most but I am having problems with zlibwapi I suggest using python and using tensor flow with matplotlibs
what I request is in excel I want a tab for every player so it shows every SOG stats that had versus certain teams too as well as an average SOG % for each specific player. This project is mainly to have my own book to compare to the betting books as example the site and I want the bot to also be able to predict what the players prop line should be for the next game by having that average SOG (shots on goal) percentage. Let me know if you have any questions:) The sites that have the SOG stats are espn,NHL, Rotowire etc. I can send the links for them as well.
You can choose any topic in the field of data science, but ideally you should try to apply machine learning techniques to your project. You can do a straightforward project (e.g. predict X with maximum accuracy given data Y) or pursue more exploratory projects. Data: There needs to be an available data set for you to analyze. Ideally larger and more complex data but something in a curated row-column or database table format is also acceptable. Learning goal: What is the goal of unsupervised or supervised learning on this data? Is it possible with the data available? Exploratory and Extensible: Projects should have multiple facets. One concrete prediction objective is good, but there needs to be enough depth to your approach or optional goals that it cannot be done in ...
Description: - Demonstrable mathematical understanding of machine learning, deep learning, and reinforcement learning fundamentals; - Strong Python skills whilst working with TensorFlow and Keras; - Hands-on experience in implementing Reinforcement Learning; - Experience with developing functioning Deep Q Learning systems; - Strong programming skills with proven experience crafting, prototyping, and delivering advanced algorithmic solutions. Ways to stand out from the crowd: - Experience with Bayesian Networks; - Familiarity with PyTorch or Caffe; - Knowledge of optimization algorithms
Hi, Python, PYtesseract and OCR library Expert only! My project is an automation woocommernce wordpress websites that send auto generated report based on the image created using client date of birth information. Flow: Client input info -> paid -> detect orders -> auto-insert info to a 3rd party website and get result(image) -> read image and get text-> get corresponding text content from DB -> create PDF report -> send to me or client. IT IS ALREADY WORKING FOR 2 YEARS UNTIL IT FAILED BECAUSE I UPDATED PHP VERSION AND PLUGINS The freelancer who made it not wating to fix nor unwilling to share, so I have to find another OCR and python expert to fix it, and are looking for long term partnership. I am not a IT person, this is what I know from the previous freelancer....
IMMEDIATE HIRING I need a developer to develop an android application that can detects drowsiness by opening a camera develop using tensorflow lite and android sdk . My aim is that the project will use datasets from kaggle to enhance facial expression of only yawning and eyes closing. As an add on, in most muslim countries, some people may use their hands to cover their mouth if they yawn. So i need an app do determine that too. Furthermore, i want to add haar-cascade method just to detect the localization of eyes and mouth . Down here is the sample sketch of this app. Last but not least put an alert to alert the driver.
I have an Excel .csv spreadsheet with more than 200 columns and 500,000+ rows which contains details of race horses and their past performances (data sample attached). The result for each horse is shown in column 'IS'. I want a software that will read a daily .csv which will contain columns 'A' to 'IR' and predict the most likely winner for each race. Some columns in the spreadsheet will have high importance, whilst some will be of no use at all in the prediction process. The data will need to be cleaned as part of the operation, and the software will need to accommodate being updated; i.e. I will add fresh data at regular intervals as it becomes available, so that the model can be retrained to maintain/improve accuracy. I am looking for a high degree o...
The project is to build a reinforcement learning model for proactive caching in the base station for 5G networks. We need to build a simulator in ns3 with base stations and user equipment based on 5G networks and build the memory cache in the base station and show the hit ratio for the base station and connect that to a reinforcement learning model in order to predict the incoming requests based on the current request.
The project is to build a reinforcement learning model for proactive caching in the base station for 5G networks. We need to build a simulator in ns3 with base stations and user equipment based on 5G networks and build the memory cache in the base station and show the hit ratio for the base station and connect that to a reinforcement learning model to predict the incoming requests based on the current request.
...province. 4. Put it in word or pdf format and submit to DC Connect Recommended Outline 1. Introduction: Summary of the whole presentation. (~100 words) 2. Justification for the Visualization tool (~75 words) 3. Explanation of data analysis / visualization approach (~100-150 words) 4. Report findings (use embedded visualizations and narrative to highlight insights) 5. Crime Rate prediction: Predict amount of crime for Manitoba, Ontario, and Alberta from a province perspective (~100-200 words) 6. Conclusion *Keep in mind that you are not preparing this report for the instructor, this report is for RCMP officer. ...
I have financial data, I need implementation of a random forest algorithm and a neural network to predict returns. Written report with detailed explanations (preferably pictures), some data analysis and method description needed. Time sensitive, very high quality work required.
I want it reads resumes automatically and use whatever tools to predict whether it's matched to a certain JD.
There are n number of stores in the different areas of the city, the store sells a variety of items of different brands. We want predict the unit sales of each item in a week. better if we could predict on each day.
...football match results prediction competition. Main Requirements: •It shall be in Arabic Language (Right to Left) •Responsive working on all screens •It shall be private (Not accepting new users, only invited ones) •It must be live linked with other website for live results Components: Index Page: •Header: Info of the logged in users (name, photo …etc) •Main Menu •Body: All matches to predict on (time open/close predictions for each match) Prediction Table Page: •Table show users ranking based on points (will be discussed later) Additional Requirements: •Option to double points for specific matches and users •It is recombed to have normal design (normal colors and related football photo) •No Problem to ...
...football match results prediction competition. Main Requirements: • It shall be in Arabic Language (Right to Left) • Responsive working on all screens • It shall be private (Not accepting new users, only invited ones) • It must be live linked with other website for live results Components: Index Page: • Header: Info of the logged in users (name, photo …etc) • Main Menu • Body: All matches to predict on (time open/close predictions for each match) Prediction Table Page: • Table show users ranking based on points (will be discussed later) Additional Requirements: • Option to double points for specific matches and users • It is recombed to have normal design (normal colors and related football photo) • No Problem to ha...
Hi, i need review and optimization for mine GAN code,in particular I need to resume training without going back to the first epoch, so far the tests done have not brought results, who can help me and explain as well as correct?
i need a developer to develop an android application that can detects drowsiness by opening a camera develop using tensorflow lite and android sdk . My aim is that the project will use datasets from kaggle to enhance facial expression of only yawning and eyes closing. As an add on, in most muslim countries, some people may use their hands to cover their mouth if they yawn. So i need an app do determine that too. Furthermore, i want to add haar-cascade method just to detect the localization of eyes and mouth . Down here is the sample sketch of this app. Last but not least put an alert to alert the driver.
what I request is in excel I want a tab for every player so it shows every SOG stats that had versus certain teams too as well as an average SOG % for each specific player. This project is mainly to have my own book to compare to the betting books as example the site and I want the bot to also be able to predict what the players prop line should be for the next game by having that average SOG (shots on goal) percentage. Let me know if you have any questions:) The sites that have the SOG stats are espn,NHL, Rotowire etc. I can send the links for them as well.
You may need to do calculation based on the history data to predict the next lottery numbers. Out of 7 numbers, I expect min has 5 rights number.
customer satisfaction prediction theory using data mining with a specific focus on the higher education field. Also, it intends to apply data mining and feature selection techniques to predict customer satisfaction
First step: We need an AI that is able to detect elephant rumbles from jungle recordings. Additionally: The AI should show it's predictions (time-stamps from a sound file) and we should be able to tell the AI if it is true or not. ...for now): The trained model should run on a solar powered microcontroller (ESP32) as an elephant detector while it is constantly listening in the jungle with a connected microphone. These detectors will be able to spot elephants before they reach a farm or village and warn rangers in that area who can deal with that situation. This will prevent human-elephant-conflict. As far as i know only Tensorflow (With Tesnorflow Lite) or PyTorch (with TinyML)are able to run on a ESP32. Which should be considered. If you have any further questions. Feel fre...
We have a new project that lets you exchange your Spotify Data for an Amazon Gift Card. Our client is looking to build a machine-learning model to predict fashion preferences based on music preferences. Requirements: • User is in the United States • User has a Spotify account • User has a Gmail account Interested? Kindly click this link to sign up and earn a $20 Amazon Gift Card. Want to earn $15 more? Refer a friend who has a Spotify and Gmail account and finish the survey! This means if you refer 10 people who complete the project successfully, you'll get a $150 Amazon gift card! You can watch the tutorial here at this link:
I need someone to help me deploy Python TensorFlow object detection project on Jetson edge processor family. Needs to have experience in Nvidia deepstream framework and must be able to run deepstream docker on docker based on an Nvidia GPU. Must have a Unix system with Nvidia GPU Experience in developing Object detection algorithm using Python and Tensorflow and familiar with Tensorflow Object detection API and TensorRT to be able to deploy on Jetson Edge devices. Good to have experience in: Optical flow, AWS, Flask and C/C++ Willing to communicate on other platforms ex whatsapp, email etc AFTER THE CONTRACT HAS BEEN SIGNED. I do not intend to violate any terms anywhere. The price is only a Placeholder and will be discussed. This will extend to a long term pro...
I need someone who can work with us as a long-term. The candidate should be know about swift and tensorflow. Please contact me if you have experience in that Thank you
Based on a Algorithm(This also involves Curve Fitting) that we have provided, using R language we have to replicate this algorithm to predict slope stability. Dataset will be provided.
I'd like to have a bot having a good ratio (>50% good result) to bet on solana evolution. The bot should predict and bet on the good way (up or down). Here is the project repo : Please, let me know if you need more info
We just want to collect all the odds of all market from various bookmakers and exchanges. so that we can make a model which can predict average of particular event. Bookmaker we need bet365, lad brooks, Spread-ex, Paddy power, william hill etc etc and exchanges like Betfair and white label of Belfair
Task: 1.) Debug/run 2.) Use trained model to predict who wins (H,D,A) for the upcoming matches
Hi Loyid A., I noticed your profile and would like to offer you my project. We can discuss any details over chat. Machine Learning, NNs for Text Classification(Tensorflow, Jupyter notebook) please read the Word document attached for details. Easy copy-paste-and-edit project. If You know what to do, you can finish it in 2 hours
the project is about modelling the occupant behavior in houses to measure the actual energy consumption and predict a solution to save energy. The methodology to be used is combining Agent based modelling with System Dynamics. The modelling needs to be done by an expert or a professional who knows how to work in this feild.
There's a race course that GPS track the horses each race producing data every 200m (speed, distance, position etc.) and I want to use the 3+ yrs of data that I have to create an algorithm that will help predict the probability of the race.
Hey Experts, Can you fix the attached Tensorflow code. It entails machine learning models for predicting football using Tensorflow. The first error seen is "ValueError: Shapes (None, 1) and (None, 3) are incompatible" when fitting the model. Files to debug includes tensorflow_ftr, tensorflow_over2.5
