You will get highly accurate ML/DL models , well organized data, clean python code
Project details
With hands on experience as a data scientist, you will be offered highly accurate ML models (Linear regression, SVM, logistic regression, KNN...). The code will be organized and with a clear documentation. Moreover, I can scrape any necessary data from internet if you need it and if you have a messy data I can process it so to make it clean and ready to use. I am also reliable when it comes to data structures and algorithms.
What's included $100
These options are included with the project scope.
$100
- Delivery Time 10 days
- Number of Revisions 2
- Number of Model Variations 2
- Number of Scenarios 2
- Number of Graphs/Charts 1
- Model Validation/Testing
- Model Documentation
- Source Code
Optional add-ons
You can add these on the next page.
Fast 3 Days Delivery
+$20
Additional Revision
+$20Frequently asked questions
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MA
Mostafa A.
Mar 18, 2025
Python-machine learning assignment
Fantastic job....i highly recommend this talented guy
NN
Nourah N.
Feb 13, 2025
Helping to Deep learning research
AE
Abcd E.
Feb 13, 2025
machine learning / Math task
Awesome, did a perfect job, very professional and reactive
DT
Dagnea T.
Jan 30, 2025
Python Hands-on Tutor
Exccellent.
LF
LF F.
Jan 23, 2025
Crash course in ai
Aymen is wonderful to work with and I am very grateful for his expertise. Thank you!
About Aymen
Data Engineer Specializing in Generative AI & LLM Systems
86%
Job Success
Tunis, Tunisia - 4:55 am local time
Steps for completing your project
After purchasing the project, send requirements so Aymen can start the project.
Delivery time starts when Aymen receives requirements from you.
Aymen works on your project following the steps below.
Revisions may occur after the delivery date.
data exploration
I start with some data exploratory analysis to understand the data and extract insights from it
modeling
In this step I choose the suitable mode to train the data if it is defined in the requirements, I prepare my input data in the necessary format, split the data into test an validation and start the training process.