You will get a trained model with in-depth evaluation of performance metrics.
Project details
This project will provide you with a machine learning model tailored to suit your needs. Given a dataset (or a desired dataset) and a corresponding problem/question/scenario, the deliverables produced will include, but are not limited to, the following:
- A machine learning pipeline for data wrangling and cleaning, preprocessing, model training, and in-depth analysis of the model performance on holdout test set data.
- If requested, a custom model architecture can be designed in order to best address problem or goal.
- Implement functionality such that the procedures can be reproduced for future use cases, and model parameter can be adjusted to suit these new cases.
- A machine learning pipeline for data wrangling and cleaning, preprocessing, model training, and in-depth analysis of the model performance on holdout test set data.
- If requested, a custom model architecture can be designed in order to best address problem or goal.
- Implement functionality such that the procedures can be reproduced for future use cases, and model parameter can be adjusted to suit these new cases.
What's included
| Service Tiers |
Starter
$35
|
Standard
$90
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 7 days | 21 days | 30 days |
Number of Revisions | 1 | 5 | Unlimited |
Number of Model Variations | 2 | 3 | 4 |
Number of Scenarios | 3 | 4 | 5 |
Number of Graphs/Charts | 5 | 10 | 15 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code | - | - |
About Zachary
Data Scientist
San Angelo, United States - 3:42 am local time
mathematics, and am currently in the process of entering the field of
data science.
During my undergraduate education I participated in two significant
internships/research opportunities. The first was working as a
research assistant on the CMS experiment of the LHC at CERN.
This opportunity provided experience with being part of a team,
handling a high-paced working environment, and developing the skill
of learning on the fly.
The second significant experience was my involvement with
a theoretical physics research group based out of UMD and
Brown. This opportunity provided me with experience in the
process of academic research, and further developed my ability
to learn at both a fast rate and at a high level. This research also
resulted in a publication, which can be found by following the link listed on my resume and LinkedIn profile.
I am generally interested in any topics involving physics,
mathematics research, and (primarily) machine learning.
With regards to machine learning I am particularly passionate about
deep learning models in medical and healthcare fields, both in their
application and their construction and architecture.
Steps for completing your project
After purchasing the project, send requirements so Zachary can start the project.
Delivery time starts when Zachary receives requirements from you.
Zachary works on your project following the steps below.
Revisions may occur after the delivery date.
Identify overall project goal(s)
The first step will be to explicitly outline the problem that needs to be solved, or question that needs to be answered, etc.
Obtain the data required to complete the goal(s)
If you already have a dataset that can be used to accomplish the project goals, then this step is as simple as providing me with the dataset. Otherwise the dataset will need to be constructed manually if an existing one cannot be found.