You will get A-Z of Machine Learning from scratch and will become a PRO

Gopi S.Status: Offline
Gopi S.

Let a pro handle the details

Buy Machine Learning services from Gopi, priced and ready to go.
Gopi S.Status: Offline
Gopi S.

Let a pro handle the details

Buy Machine Learning services from Gopi, priced and ready to go.

Project details

You will get an understanding of ML models from a geometric and optimization perspective. You will get hands-on experience with toy datasets. After completion of this project, you can answer interview questions based on those models.
What's included
Service Tiers Starter
$350
Standard
$600
Advanced
$1,000
Delivery Time 3 days 7 days 14 days
Number of Revisions
111
Number of Model Variations
3510
Model Validation/Testing
Model Documentation
Data Source Connectivity
-
-
Source Code
-
-
Gopi S.Status: Offline

About Gopi

Gopi S.Status: Offline
Data Science Engineer with Research Experience in AI
Visakhapatnam, India - 3:16 am local time
Gopi Sumanth is a Data Science Engineer currently working in Bengaluru, India. He worked as Research Assistant in CSIR-IICT, Hyderabad. He completed his Master of Science in Computer Science from South Asian University, New Delhi, and B.Tech in Computer Science and Engineering from Lovely Professional University, Punjab

On the research front, he has had an eclectic, experimental cum computational background in Machine Learning, Deep Learning, Robotics, Natural Language Processing, and Computer Vision. Now, he is into developing skills in Bioinformatics and Applied Biology in the pursuit of being a holistic researcher.

He is goal-oriented, determined, and focused with a keen eye for details and skilled in Machine Learning, Deep Learning, Time series, Python, R, MATLAB, and SQL.

Steps for completing your project

After purchasing the project, send requirements so Gopi can start the project.

Delivery time starts when Gopi receives requirements from you.

Gopi works on your project following the steps below.

Revisions may occur after the delivery date.

Classification

Here, you will start learning about K-NN and go on with other models. You will get a good idea about the theory of generalization, bias-variance, and about techniques to avoid overfitting and underfitting.

Regression

Here, We will learn A-Z of regression. The best part is we will connect the concepts of classification with regression

Review the work, release payment, and leave feedback to Gopi.