Tensorflow predictproiecte

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

To build a machine learning model comibining svm with random forest to predict diabetes.

PancakeSwap has a prediction API that lets users test their foresight to earn rewards, using their market knowledge or gut feeling to predict if the BNB/USD or CAKE/USD price will go up or down in the near future. What I need is code that can predict most of the rounds correctly and attempt to call "Bet Bull" or "Bet Bear" on the PancakeSwap's Prediction V2 smart contract address and then claim the prize afterwards. You can achieve that either by imitating the transactions of a successful address or by having your own predictive model. For further details, feel free to check A couple notes: 1. If your bot doesn't do what it says it does, we ask you to close the project and refund the milestone. 2. Please adhere to your bid amount. Fre...

...media campaign, or content creation. We strictly need and only need Solo Ads to be run on the service provider's e-mail list. If you provide Solo Ads services please contact me with the following answers: 1-: What is the size of your mailing list? 2-: What is your Open rate? 3-: What is your Click rate? 4-: What kind of return on investment (with respect to sales and affiliate sign-up) can you predict from your e-mail blasts? Please read the job post carefully and only if you have the above-asked numbers then only respond. We do not want someone to create a mailing list for us. The service provider will need to be using his/her mailing list. After the service provider applies to the job post we would try and connect with him/her and they should be ready with the answers to...

It's called the mafia game I'd like to request a program to guess who the mafia is The rules are simple There are 8 players and 2 of them are mafias automatically infer two mafias through conversations between the police, citizens, and mafias.

It's called the mafia game I'd like to request a program to guess who the mafia is The rules are simple There are 8 players and 2 of them are mafias automatically infer two mafias through conversations between the police, citizens, and mafias.

Would like to be able to replicate any previous methods of predicting cryptocurrency "pump and dump" schemes. Such as methods in; Will pay maximum £200, with a £500 bonus on successful implementation. Any python machine learning would be appropriate, can provide api's for fetching training data. Do not bid on project if you do not want to work for this money.

base_model1 = ( include_top=False, weights="imagenet", input_tensor=None, #input_shape=None, pooling=None, classes=200, input_shape = image_size, classifier_activation="softmax", ) base_model1.trainable=False replace with retinanet...

Build a custom NER model suitable for mobile deployment. - Should be trained for chemical names , brand names & company names. - High performance and low run time (<100ms) - To be used for mobile deployment ( tensorflow lite , mlkit etc) - accuracy measured by looking at % entity recognised YOU must have experience in building custom trained NER in past and mobile model dev. input to the model will be text extracted from OCR model output. from a set of images.

There are approximately 1700 “X” pictures and 700 “Y” pictures. The goal is to enter a new picture to the computer, in Python and he will be able to tell us if it is a “X” or “Y” pictures. The desired rate of s...The Python program should support both MAC M1 (support for its neural engine) and windows PC. I know I don’t have enough “Y” pictures, but for the sake of work you can train 1500 “X” pics and 500 “Y” pics and then input the remaining 200 of each to the neural network, to test the results (How it handles new pictures) There is a must to use Python language, with known and trusted frameworks: TensorFlow, Pytorch, Keras, Numpy etc. At the end I will get the code, and FULL explanation how...

Hi, I am looking for someone who can help me with an optimization project for my strategy on Trading View. In a nutshell I need to have Trading View automatically find the best parameters for my strategy, I already have in mind how to do it and I have devised an algor...works: It has to do backtests on a number of candles that I decide, changing the parameters from time to time, once all the backtests are done the data should be saved in a two-dimensional array and the values that satisfy certain characteristics should be taken ( for example the value that allows me to have the maximum W/L ratio ) and then used for the strategy on TradingView. This way I can predict what the best parameters are that will allow me to have a statistical advantage on the next trade under certain co...

i want to make application for predict game No playing games, only live match prediction, contest You can send me Quotation Multiple sports prediction .like MPL No playing games, only live match prediction, contest

Need to predict the streamflow of a river using precipitation, maximum, minimum, mean temperature, and evapotranspiration using CNN-LSTM, LSTM

Need to create a website where users can predict the upcoming sports season and share their predictions to social media.

This AI iris-tracking model needs to track both iris and determine whether the eye is looking up, down, left, and right with above 80% accuracy using TensorFlow/python-based libraries. ideally, it should be optimized on a webcam but be portable to a phone camera. For further details please contact me

EPM Planning Cloud Training Content : Introduction : • Introduction to Planning cloud • Navigating through planning system • Setting up planning system ...view features • Dimension management capability in smart view • Q&A Maintaining Planning Application • Application backup • Setting the maintenance window • Setting up data maps • Running data maps • Smart push • Review system diagnostics Advanced Planning capabilities overview : • Drivers/ Trend based planning • High level overview of AI / ML capabilities • IPM Insights • Auto Predict • Cell level security Planning Out of the box modules – In Detail Training : • Financial planning • Projects p...

...These are thing that you should have: Superior intelligence Over one year experience in flutter development, and over 3 years experience in front end development Over two years experience in Python and Django Entrepreneurial experience is a plus ?Company Vision Our vision is to match people to form meaningful conversations. We have developed several world class psychometric tests that accurately predict compatibility and have been taken almost 20 million times on our site. We are using these tests to match users to the real time conversations. ?Time commitment & compensations Most of the founders are still working part-time and all are remote. Your time involvement could start with as low as 20 hours per week. Your compensation packages would be comparable to all other co-f...

need code using python language and need 15000 words report. Summary of project: Face attribute and gender prediction, Eyeglasses, Beard, Mustache, and Hat classification using Tensorflow of human faces. using CelebA dataset - and the model InceptionV3 architecture.

Looking for an experienced computer vision engineer to deploy pre-built computer vision models into NVIDIA jetson nano. Must be experienced with Linux-based hardware like Nvidia Jetson Nano. Required Experience: Proficient in Python and OpenCV Deep Learning & NLP Computer Vision Hands-on experience with TensorRT Familiarity with deep learning frameworks like Pytorch, and Tensorflow Experience with Linux-based hardware like Nvidia Jetson Nano Experience working on deploying Computer Vision models on Edge hardware like Jetson nano

Hi, We are looking for a python developer to achieve the following two goals: - Compare user input (text) to dataset and show top three similarity matches with some context (preceding and succeeding two sentences). - Predict next sentence based on user input (like an autocomplete function). To achieve these goals, we expect you to train a German language model with given text data. • First milestone: Extraction of data. You will need to extract the data from these PDFs () and bring them in an appropriate format (for your orientation see: ; ). The dataset will be reviewed by us, discussed, and optimized by you (if

Hi Sajid, We are looking for a python developer to achieve the following two goals: - Compare user input (text) to dataset and show top three similarity matches with some context (preceding and succeeding two sentences). - Predict next sentence based on user input (like an autocomplete function). To achieve these goals, we expect you to train a German language model with given text data. We can discuss any details over chat. Best, Thomas

PancakeSwap has a prediction API that lets users test their foresight to earn rewards, using their market knowledge or gut feeling to predict if the BNBUSD or CAKEUSD price will go up or down in the near future. What I need is code that can predict most of the rounds correctly and attempt to call "Bet Bull" or "Bet Bear" on the PancakeSwap's Prediction V2 smart contract address and then claim the prize afterwards. You can achieve that either by imitating the transactions of a successful address or by having your own predictive model. For further details, feel free to check

I need expert Financial expert who has PhD Degree. I want to predict the financial crisis I need their help for 6 to 10 months

Need help developing a telephony application using Python. It will be necessary to develop internal and external services and rework the existing code base, as well as implement new functionality in accordance with the TOR. You will need to work with PostgreSQL and built-in procedures. The direction of the web, both backend and frontend. TensorFlow, Caffe and neural networks, OpenCV. Git/mercurial, redmine, Django, Flask will be used. Knowledge of algorithms and data structures is required

Hello! I have a small project. I need to plot attention weight heatmap in LSTM model built from tensorflow keras. I have already LSTM code work perfectly and dataset. You only need plot attention weight heatmap with train, val, test data in 2 types like 2 sample graph images I attached below. I already have sample github code to plot it but I have some trouble that I can't plot it in right way. Please check below link (examples/) Pls put "Attention" keyword on the top of your bid, will ignore your bid if don't have this keyword. Thank you!

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I need someone that is good with math, stats and data. The person for this project will have the ability to look at current and historical data and determine the likely outcome of a sporting event using a percentage breakdown. For example, based on the raw data, Team A has a 75% chance of winning over Team B. You will create an algorithm where data is plugged in and produce the result for the user. It will be your job to use pure math and science based on the current stats and past performance stats to make this happen. Once you have effectively created a working algorithm, the algorithm and your formula will then be converted to a computer program. If you wish to write to program then that is fine, but we are looking for you to deliver in a workable spreadsheet format so your proces...

I have texts consisting of more words than 10000. and I have another texts consisting of 15 words. I want to get most similar words in between two texts and follow my entity. and, I want to implement this android app. If you are confidence in tensorflow and NLP, please bid. Thanks.

The dataset has a series of parameters of the patient like Sex, Drug Type, etc. You will work on developing a classification tree-based AI technique to predict the drug type that should be given to a particular patient based on their characteristics. Tasks 1. Read the dataset into a data frame called “drug data”. [Hints: Make sure you set strings As Factors = TRUE while reading the data into the data frame.] 2. Create two sets: training (80% observations of the drug dataset) and test (20% observations of the drug dataset) sets. 3. Create a classification tree using the training set and calculate the classification accuracy of the tree using the test set. 4. Use cross-validation to prune the tree (tree from Step 3) optimally. You can use the misclassification error ...

Predict how the shifts in interest rates will affect output in future,as well as inflation,interest rates and exchange rates using machine learning.2page report of results and methods...

...to grow your range of skills and experience. To be considered, you **must** include answers to the following in your response: a) Please post links to past projects (ideally on freelancer.com) that showcase your prowess as Data Scientists and ML Engineers. (**REQUIRED**) Does your team have expertise in: b) CV? c) NLP? d) Chatbot development? e) Deep Learning? f) Reinforcement Learning? g) TensorFlow? h) PyCharm? i) Are you an individual or a team? (** only established teams, please **) j) How many hours per week are your team members available? (** must be at least 40+ hours per week**) k) Will your team members be prepared to run a desktop time tracker (e.g., freelancer, Hubstaff, etc., as directed by us) while working on projects? (**REQUIRED**) (Please note that if...

The project i need is same as augur site, where users can predict the market by choosing appropriate options, they can choose buy/sell, This contains liquidity pool, share for each user,

I am somewhat new to using Tensorflow and learn to use it from a C# application. I am trying to convert a simple LSTM Python example () that works very well on my machine in Python using the GPU. In my C# implementation, I have hard coded the input data to simplify the process. The data is identical in both the Python example and my code. However, when I try to build it in .NET (Visual Studio 2022), it crashes when the fit() method is encountered. First, the input_shape argument is not available in the LSTM constructor within .NET. So, the obvious thing to do would be to add an InputLayer instead. I have done this in the Python example code and it works fine. However, when I try to use the InputLayer

Please Read the requirement carefully. The requirement is, Given a set of data to train from, predict the next round result. For example: (data will have much more items within it, but for example lets keep it small and it will only contain either 1, 2 or 3, real data will also only contain 1, 2 or 3) data = [3, 1, 3, 2, 3, 1, 3, 2, 3, 3, 3, 3, 1, 3, 2, 3, 2, 1, 1, 2, 1, 3, 3] The script should read that set of Data and predict the next possible outcome: Actual result: 2 (This we don't know) (But for example I am providing the actual result) Prediction: {1, 2} {2,3} or {1, 3} <-- it should choose the best possibility from this set of 3 So it will be like: {2,3} (noticed how the actual result is in the prediction) Even if its wrong, append the actual result to d...

I am curious on the pricing. I want to say most of the data being computer is public if not it’s subscription based. I’m basically wanting data processed to predict probabilities or an educated guesses.

Based on sports analytics idea for object identification. Basic idea for the project is to identify the visibility of stumps behind batsman, and thus predict if he can be a candidate for Leg Before Wicket (LBW). Thus lower the visibility of stumps higher the vulnerability of batsman for Leg Before Wicket (LBW).

I am used to TensorFlow, I need someone explaining a PyTorch code. Why does the step function take a loss? I have further questions, So I like to have 30 min Zoom to only share my screen, I will provide the link.

...would like a python script that predict the next round result. The input the will be the past rounds result (which will be defined within the script, or from a csv) ((to predict the next round result)). The prediction should be two out of the three option. Please take a look at the images of what each round looks like. All the previous rounds results will be used for training to predict the next round result (two out of the three) For example: We don't know what round X result will be. The script will give us a prediction of what it should be. It could be: Cat / Tie, Cat / Dog, Tie/ Dog <-- It will choose the best (one) possibility out of these three set) Also, once the round actual answer is provided, it will stored that in the trained data to predi...

Apply PCA and SVR to Finetuned network (transfer learning) on LIVE dataset. Replicating following code: but changing GAP + Regression Heads to PCA and SVR

I am going to implement ocr function to mobile. First, you have to extract all texts from image by mobile. App can be applied to image saved in mobile and camera. What is important is the accuracy. Inputs i...style(light condition, skew, faint, etc) I have already made the app, but its accuracy is not high in skewed images. You have to resolve. Second, you have to apply ner model and DNN to get entity of certain in images. Third, you have to implement my important requirements. (I will share in chat) I want to implement all in mobile. you have to deploy in mobile. You have to be confidence in MLkit, tensorflow lite, android studio, java, ocr etc. If you don't have skills above, don't please bid. We must not to waste our time and effort. When you are only expert, bid. I wai...

lyes text mining, CNN, RNN, LSTM, SVM, NB, Random Forest, Compare which is the highest accurate, and which method correctly predict

Hi, I'm urgently looking for someone to help me in doing a project in object detection using transfer learning approaches. The project should be implemented using tensorflow V2. At the moment, someone who has prior knowledge in this field can reach me. Thanks Note that for one to be awarded this project, i will be looking at the testimonials of the previous works in this field

Need to setup tensorflow on my A 2000 Nvidia GPU and run mark r CNN on the local system

Hello, I am looking for a stock screener on python for NSE stocks. The requirement is 1) To filter stocks based on certain filters, e.g. PE < 30, PB < 2, PEG < 2, Forward PE, Trailing PE.. etc based on Yahoo Finance API. 2) Perform future price predictions on the selected stocks based on cash flow, earning multiples, linear regression to predict future prices. 3) Display output on the screen. Please reach out if you are comfortable with Python, Yahoo Finance, Investment analysis, Regression. Many thanks.

I have a code written in tensorflow with a few encoders. Please add a few lines to make it work for vgg16 and alexnet too

Stock Market Multitask - Multi-users iOS App STAGE 1: Price Prediction Based on Previous Days Values ======================================================= Will be an iOS for 5 users. Using historical data from previous dates, from Yahoo Finance, predict the next 5 DAYS Max/Min value of any "SS" ("SS"). There will be a list of "SS" of interest for each user. You have to provide predictions for all of them. Samples values for some "SS" of interest are in pictures A, B, C & D. Values shown are Minimum, Maximum & Closing: - USD/MXN - $19.7192 / $19.8690 / $19.8042 Historical values can be found here: - USD/MXN - STAGE 2: Handle yours, and another 5-7 predictions ================================================== Along with your

Hello! I have a small project. I need to plot attention weight heatmap in LSTM model built from tensorflow keras. I have already LSTM code work perfectly and dataset. You only need plot attention weight heatmap with train, val, test data in 2 types like 2 sample graph images I attached below. I already have sample github code to plot it but I have some trouble that I can't plot it in right way. Please check below link (examples/) Pls put "Attention" keyword on the top of your bid, will ignore your bid if don't have this keyword. Thank you!

Develop a script to predict sales data using ARIMA and any library of your choice in python. Using Python 3.10~ . I'm using MySQL db: if possible you can pick up from here db = database() connection = db.get_db_con() query_string = '''SELECT date_purchased as date,quantity FROM sales where product_id="%s"''' %('N02BE') SQL_Query = pd.read_sql_query(query_string, connection) df = (SQL_Query)

hello it is a predict and win type lottery game which includes two types, user may predict either 1 to 9 (let say game 1) or they can predict 10 to 99 ( let say it game 2). result or winning number will declare after a defined time interval (that time interval must be dynamic and can be changed .the winning number must be the least betted number till the occurrence of first two times(in a sequence) of one specific number , if so, then the third result will be the second least betted number. the user interface will be simple , one screen for choosing number , another for result (a table with date and time ). Also a screen for transaction history (only previous 30 days) and one for withdrawal (although not in actual money but in virtual currency, lets say it points. Now ...

hello it is a predict and win type lottery game which includes two types, user may predict either 1 to 9 (let say game 1) or they can predict 10 to 99 ( let say it game 2). result or winning number will declare after a defined time interval (that time interval must be dynamic and can be changed .the winning number must be the least betted number till the occurrence of first two times(in a sequence) of one specific number , if so, then the third result will be the second least betted number. the user interface will be simple , one screen for choosing number , another for result (a table with date and time ). Also a screen for transaction history (only previous 30 days) and one for withdrawal (although not in actual money but in virtual currency, lets say it points. Now...