Build an AI/ML end-to-end project by Ram ChandBuild an AI/ML end-to-end project by Ram Chand
Build an AI/ML end-to-end projectRam Chand
An ML model is made up of several files which, after being trained on specific examples and with the use of relevant code, can predict outcomes for new data. This has numerous applications across various tasks, such as classification (e.g. predicting a disease based on images of patients), predicting numbers (e.g. the price of a house in a particular area), and forecasting (e.g. predicting house prices after the release of certain news).
While some ML models don't require training data and can solve problems in a different way, the solution depends on the specific issue at hand. It's important to note that accurately estimating the performance of an ML model before building it can be challenging. As such, while I can offer rough estimates of expected performance by referencing similar work, I cannot guarantee that the model will achieve that level of performance. I will provide an analysis of all performance metrics and will stop the experimentation once you are satisfied with the results or when I exhaust all ideas.

What's included

Machine Learning Model
This encompasses any files generated during the training of the model. These files can be used to load the model onto your own computer to make predictions for the task at hand.
Code
This includes all relevant steps in the pipeline, such as data gathering, data processing, model training (including fine-tuning if applicable), and model inference (prediction) and evaluation.
Data (optional)
If data was gathered and processed by me, you will receive it in a form that is convenient for you.
Performance Breakdown
Eye-catching presentation of the results obtained by different models trained - I typically use python.
Documentation
A detailed README that explains everything necessary for you to use the other deliverables, including where the model and data are located, how to run the code, and a brief summary of the code and its various components.
Starting at$30 /hr
Tags
AWS
AWS Lambda
Docker
Python
PyTorch
AI Model Developer
Data Scientist
ML Engineer
Service provided by
Ram Chand Karachi, Pakistan
Build an AI/ML end-to-end projectRam Chand
Starting at$30 /hr
Tags
AWS
AWS Lambda
Docker
Python
PyTorch
AI Model Developer
Data Scientist
ML Engineer
An ML model is made up of several files which, after being trained on specific examples and with the use of relevant code, can predict outcomes for new data. This has numerous applications across various tasks, such as classification (e.g. predicting a disease based on images of patients), predicting numbers (e.g. the price of a house in a particular area), and forecasting (e.g. predicting house prices after the release of certain news).
While some ML models don't require training data and can solve problems in a different way, the solution depends on the specific issue at hand. It's important to note that accurately estimating the performance of an ML model before building it can be challenging. As such, while I can offer rough estimates of expected performance by referencing similar work, I cannot guarantee that the model will achieve that level of performance. I will provide an analysis of all performance metrics and will stop the experimentation once you are satisfied with the results or when I exhaust all ideas.

What's included

Machine Learning Model
This encompasses any files generated during the training of the model. These files can be used to load the model onto your own computer to make predictions for the task at hand.
Code
This includes all relevant steps in the pipeline, such as data gathering, data processing, model training (including fine-tuning if applicable), and model inference (prediction) and evaluation.
Data (optional)
If data was gathered and processed by me, you will receive it in a form that is convenient for you.
Performance Breakdown
Eye-catching presentation of the results obtained by different models trained - I typically use python.
Documentation
A detailed README that explains everything necessary for you to use the other deliverables, including where the model and data are located, how to run the code, and a brief summary of the code and its various components.
$30 /hr