You will get subscription-based Neural Network (MLP ) model at the best price

Hemant J.Status: Offline
Hemant J.

Let a pro handle the details

Buy Machine Learning services from Hemant, priced and ready to go.
Hemant J.Status: Offline
Hemant J.

Let a pro handle the details

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

Project details

This project is apt for researchers in various fields such as medical science, agriculture, environment, education etc, who don't want to go into the complexities of neural network design and related coding.

A few examples to give an idea.
1) If you develop educational content and need to identify what type of content helps a student to learn better.
2) If you want to classify stock returns as favorable or unfavorable for some input features.
3) If you are working on a science-related project that requires the study of change in the property as a result of some parameters but the relationship is difficult to be modeled in pure mathematical models.
4) If you want to study how crop yield is affected by factors such as weather, soil property, irrigation etc.
5) If you have a large portfolio of products and you need to group the products whose sales are affected by similar types of factors.

If you have a similar type of work, where data is in the CSV files, this project acts as a sort of turnkey project. This is a subscription-based project having a validity of 3 months from the date of delivery.
Note: Please read FAQs before purchasing the project.
What's included
Service Tiers Starter
$10
Standard
$200
Advanced
$700
Delivery Time 4 days 14 days 21 days
Number of Revisions
09Unlimited
Number of Scenarios
10
Model Validation/Testing
Model Documentation
Data Source Connectivity
-
-
-
Source Code
-

Frequently asked questions

Hemant J.Status: Offline

About Hemant

Hemant J.Status: Offline
Neural Networks, Data Science and Data Cleaning
Nagpur, India - 1:04 am local time
I work in the field of Data Cleaning of files (mostly csv and xls extensions) ,creating models and forecasts using historical data and external parameters. I use Python , Keras , Numpy, sklearn and pandas as tools to design Neural Networks/Deep learning Networks and Random Forest Classifiers to make these forecasts. The field of Interest is the application of deep learning for classification and regression, especially where Mathematics is involved.

The projects that I completed involved pattern recognition and classification using Multi Layer Perceptrons (MLP, Neural Network). However, I can apply these techniques in other areas as well such as business or sales forecasting, stock price classification and forex pattern recognition .

I am a self-taught person. I have been teaching Mathematics for the last many years, so I find myself good at explaining mathematical aspects in an underlying project, if required.


Steps for completing your project

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

Delivery time starts when Hemant receives requirements from you.

Hemant works on your project following the steps below.

Revisions may occur after the delivery date.

Model_0

A) The scenario-wise performance of the model, will be presented in a tabular format with Training, Validation Accuracy and the number of epochs. B) The tf-keras model for the client to run the test set. C) A short edited video showing the training.

Model_variations(if applicable)

After getting the approval (with or without revision) from the client for the current variation/Model_0, the next model variations ( applicable as per the package) are trained and presented to the client in the format stated in 'A' above.

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