use machine-learning with NLP and Automated Feature Selection to predict approximate Latitude / Longitude
$30-250 USD
Πληρώθηκε κατά την παράδοση
Project Overview:
The goal of this project is to implement a neural network to predict the Latitude and Longitude based on the data provided in the attached [login to view URL] file. The previous freelancer attempted to solve the problem by building a neural network using Python and its popular deep learning libraries such as Keras, TensorFlow, and PyTorch. However, the previous freelancer's approach failed to meet the requirements of the project. The previous freelancer's approach involved using PCA, which didn't work, and there was manual feature selection involved, and he also was not able to use RFE.
Task Description:
Your task is to review the Python code provided by the previous freelancer, understand what has already been completed, and build upon it to develop a solution that satisfies the requirements.
Specifically, you should:
- Review the code provided by the previous freelancer and understand what has already been completed.
- Fix the automated feature selection to remove the need for manual feature selection.
- Ensure that the script can make predictions without re-training every time.
- Train the neural network on the data provided in the attached [login to view URL] file.
- Split the data into training, test, and out-of-sample final sets to evaluate the performance of the model.
- Optimize the neural network using an appropriate optimization algorithm such as Stochastic Gradient Descent (SGD) or Adaptive Moment Estimation (Adam).
- Evaluate the performance of the neural network using appropriate evaluation metrics such as Mean Squared Error (MSE) or Root Mean Squared Error (RMSE).
- Test the neural network on an out-of-sample final set to ensure that it generalizes well to unseen data.
- Ensure that the final solution can be easily deployed and used by the client.
Skills Required:
Python
Machine Learning (ML)
Neural Networks
Deep Learning
NLP
TensorFlow or Keras or PyTorch (not all 3)
Deliverables:
- Code that meets the requirements specified above.
- A document outlining the approach you used to solve the problem.
- A report detailing the performance of the model, including MSE, RMSE, and R-squared.
- A discussion of any challenges or issues encountered during the project and how you addressed them.
- A user-friendly guide on how to deploy and use the final solution.
FREQUENTLY ASKED QUESTIONS
Q: What is this project about?
A: It's a machine learning project that involves predicting Latitude and Longitude based on the data provided in a JSON file using a neural network.
Q: What programming language is used?
A: Python is used for this project.
Q: What are the required skills?
A: The required skills are Python and Machine Learning.
Q: What libraries are used for machine learning?
A: Popular machine learning libraries such as Keras, TensorFlow or PyTorch can be used.
Q: What is the goal of the neural network?
A: The goal of the neural network is to make accurate approximate predictions for Latitude and Longitude based on the data provided in the JSON file. Expected accuracy is at least 100m when address is present, and at least less than the zip code radius when zip is present.
Q: What is the dataset?
A: The dataset is provided in a JSON file.
Q: What is the task of the freelancer?
A: The freelancer needs to fix the automated feature selection and make it possible for the script to make predictions without re-training every time.
Q: Is there any specific optimization algorithm to be used?
A: No, the optimization algorithm can be selected appropriately from Stochastic Gradient Descent (SGD) or Adaptive Moment Estimation (Adam).
Q: How will the performance of the Neural Network be evaluated?
A: The performance of the Neural Network will be evaluated using appropriate evaluation metrics such as Mean Squared Error (MSE) or Root Mean Squared Error (RMSE).
Q: How can the freelancer evaluate the model?
A: The freelancer can test the model on an out-of-sample final set to ensure that it generalizes well to unseen data.
Ταυτότητα Εργασίας: #36179353
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Hello greetings, After going through your project description, I feel confident and excited to work on this project for you. But I have some important things and queries to clear out. Can you please leave a message on Περισσότερα
16 freelancers κάνουν προσφορές κατά μέσο όρο $221 για αυτή τη δουλειά
I'm a senior Python & ML developer and owner & founder of Dedeoglu Dev Company. Kindly send me a message to get in touch with me, Thanks, Yusuf
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Hi, Dear Employer; I am Al.A from Korea. I have read your job post carefully. I can write clean, validated Python and Machine Learning code and make a device-supported M. File. I have over seven-plus years of experien Περισσότερα
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Dear honorable recruiter, Greeting! It's me Ahmed Adel, And I'm writing this letter to express my interest in working on your project. I am an expert in NLP, Deep learning (CNN - RNN - LSTM - ..etc), Machine learning, Περισσότερα
