You will get a relentless problem solver with AI at its feet.
Tim C.
You will get a relentless problem solver with AI at its feet.
Tim C.
- Delivery Time 50 days
- Number of Revisions 2
- Number of Model Variations 2
- Number of Scenarios 1
- Number of Graphs/Charts 2
50 days
delivery —
Jan 2, 2025
Revisions may occur after this date.
Upwork Payment Protection
Fund the project upfront. Tim gets paid once you are satisfied with the work.
Project details
Upwork Project: From data mining, scraping, fetching, and preprocessing to fine-tuning your model, I will rip your task apart and try to find the hidden correlations between data using modern-day machine learning techniques. I will provide neat data visualizations along the way. I am an experienced TensorFlow developer and have some practical knowledge of Computer Vision, NLP tasks, time series, regression, and more.
What's included
Service Tiers |
Starter
$40
|
Standard
$100
|
Advanced
$200
|
---|---|---|---|
Delivery Time | 50 days | 40 days | 30 days |
Number of Revisions | 2 | 5 | Unlimited |
Number of Model Variations | 2 | 3 | 5 |
Number of Scenarios | 1 | 3 | 6 |
Number of Graphs/Charts | 2 | 5 | 8 |
Model Validation/Testing | - | ||
Model Documentation | - | - | |
Data Source Connectivity | - | ||
Source Code | - |
About Tim
Entrepreneur First, AI Engineer later. Tackle Business with AI Now.
Brezice, Slovenia - 4:25 am local time
My main expertise lies in applying end-to-end Machine Learning to unique problems.
- 4+ Years of Python, Golang & React JS.
- 3+ Years of TensorFlow, PyTorch, Caffe, Scikit, etc.
- 3+ Years developing Neural Network Applications, including deep learning.
I'm quick, trustworthy & reliable and will work with you to better understand what problem you'd like to solve with the power of AI.
Steps for completing your project
After purchasing the project, send requirements so Tim can start the project.
Delivery time starts when Tim receives requirements from you.
Tim works on your project following the steps below.
Revisions may occur after the delivery date.
Data Acquisition, Exploratory Data Preprocessing (EDA)
In the following step, I will take a closer look at the problem and/or data to come up with proper next steps regarding deriving the solution. EDA will make sure our data is bulletproof and that data is or isn't correlated.
Solving the problem, the ML part
Based on EDA, we will find a useful machine learning technique to solve our problem. At this stage, hyperparameter tuning and model training will take place.