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You will get an optimized deep learning based trained model
Project details
You will get a deep learning based trained model with optimized hyperparameters which you can use further for classification of text or images depending on your requirements. With 2 years of professional experience, I care deeply about the time limits, demand, and quality of work. The work I deliver is 100% original and high quality.
What's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 15 days |
Number of Revisions | 2 | 3 | 5 |
Model Validation/Testing | |||
Model Documentation | - | - | |
Data Source Connectivity | |||
Source Code |
Frequently asked questions
About Dayanand
Software Engineer
Lahore, Pakistan - 11:33 am local time
Congratulations! and thank you for reaching my profile. Your problem is now my problem. Let's solve it.
A short list of my skillset is as follows:
Problem Solving, Python, Django, Django REST Framework, React JS, Redux, Formik, etc.
About Me:
I am a passionate, hard-working, and disciplined person who follows the best software engineering practices to build high quality scalable code to fulfil the requirements beyond limits.
I am available 24/7; you can inbox me for anything you want to know more about me, my skills, and my experience.
Thank you for exploring me!
Best regards,
Dayanand
Steps for completing your project
After purchasing the project, send requirements so Dayanand can start the project.
Delivery time starts when Dayanand receives requirements from you.
Dayanand works on your project following the steps below.
Revisions may occur after the delivery date.
Data Understanding
In this step, I will explore the data in order to get the insights from data. It's truly said that data tells everything. I will come to know about what type of data is so that I can decide specific operations/methods to perform accordingly.
Pre-Processing
In this step, I will handle missing values, errors in data, out-of-range values and duplicates and resolve them using specific methods like filling missing/error values with mean, median, mode, interpolate, etc.