You will get Quantification for estimating class distribution or prevalence

You will get Quantification for estimating class distribution or prevalence

Project details
Quantification is an emerging supervised learning task in the recent decade that aims to predict the class proportion in the test sample. It has some similarities with classification but their final objectives are different. It can be employed in several applications where the demand is to understand the behavior of groups. For instance, in sentiment analysis, the interest is in the estimate of positive or negative class ratios (quantification task) instead of classifying individual predictions (classification task).
This project can be applied in health sciences to estimate the class distribution of harmful mosquito species e.g. Aedes Agypte that spread Dengue.
This project can be applied in health sciences to estimate the class distribution of harmful mosquito species e.g. Aedes Agypte that spread Dengue.
Machine Learning Tools
Keras, NumPy, pandas, Python, Python Scikit-Learn, scikit-learn, TensorFlowWhat's included $30
These options are included with the project scope.
$30
- Delivery Time 3 days
- Number of Revisions 1
- Number of Model Variations 5
- Number of Scenarios 4
- Number of Graphs/Charts 10
- Model Validation/Testing
- Model Documentation
Optional add-ons
You can add these on the next page.
Data Source Connectivity
+$20About Waqar
Data Scientist, AI & Machine Learning, Apache Spark, Big Data, ETL,
Sao Paulo, Brazil - 1:31 am local time
Steps for completing your project
After purchasing the project, send requirements so Waqar can start the project.
Delivery time starts when Waqar receives requirements from you.
Waqar works on your project following the steps below.
Revisions may occur after the delivery date.
Data preprocessing and cleaning
Removal of Null values fill empty values according to requirements Standardize data Normalize data if required or on demand
Exploratory data analysis
To insight data and take meaningful full information EDA will be employed. In detail EDA analysis will be done