Normalisation of data and split it into training and testing in order to create an ICA model
Budget: $30 – $250 USD
I am looking for an experienced data scientist who will help me normalise a large dataset (more than 5000 records) and split it into training and testing sets in order to create an ICA model. The chosen programming language is Python and I'm open to suggestions for the training and testing splt ratios.
The data scientist must have knowledge and experience of working with large datasets, as well as the ability to create an ICA model and perform normalisation procedures on the data. Any additional skills in programming languages and machine learning frameworks such as TensorFlow and SciKit-Learn are a plus.
The successful candidate will be given access to the dataset and expected to provide updates and progress reports as the project progresses. In addition to completing the project successfully, the data scientist must also ensure that the data splits created for the ICA model are efficient and of high quality.
I'm looking for someone to start this project as soon as possible and would like to hear from potential candidates that have the appropriate experience and qualifications for this job.
The data scientist must have knowledge and experience of working with large datasets, as well as the ability to create an ICA model and perform normalisation procedures on the data. Any additional skills in programming languages and machine learning frameworks such as TensorFlow and SciKit-Learn are a plus.
The successful candidate will be given access to the dataset and expected to provide updates and progress reports as the project progresses. In addition to completing the project successfully, the data scientist must also ensure that the data splits created for the ICA model are efficient and of high quality.
I'm looking for someone to start this project as soon as possible and would like to hear from potential candidates that have the appropriate experience and qualifications for this job.