Sequence Prediction Using Integers
Budget: $250 – $750 USD
I need a machine learning expert skilled in sequence prediction with a focus on integer data.
- Task: The main goal of the project is to apply machine learning in sequence prediction to foresee future integers based on the provided input.
- Input: The model will be working with integer data. Proficiency in cleaning, analysis and preparation of this sort of data is crucial to the project.
- Output: The model should be able to predict future integer sequences accurately.
Potential freelancers must be proficient in machine learning, with a particular emphasis on sequence prediction, text mining and natural language processing. Prior experience with text-based projects will be viewed favorably.
The input source data will contain between 293 and 298 values (1 through 13) in each source and the output target data will contain between 4 and 6 values (1 through 13) in each sequence. The goal is to take the variable length 293-298 source values and accurately output the variable length 4-6 values.
The data will be padded with -1 so each sequence and target is equal length. Each sequence and target should not contain more than 24 instances of each value (1 through 13). If the sequence contains 24 instances of any value (1 through 13), the output target will not contain that value.
I've attached the training data.
- Task: The main goal of the project is to apply machine learning in sequence prediction to foresee future integers based on the provided input.
- Input: The model will be working with integer data. Proficiency in cleaning, analysis and preparation of this sort of data is crucial to the project.
- Output: The model should be able to predict future integer sequences accurately.
Potential freelancers must be proficient in machine learning, with a particular emphasis on sequence prediction, text mining and natural language processing. Prior experience with text-based projects will be viewed favorably.
The input source data will contain between 293 and 298 values (1 through 13) in each source and the output target data will contain between 4 and 6 values (1 through 13) in each sequence. The goal is to take the variable length 293-298 source values and accurately output the variable length 4-6 values.
The data will be padded with -1 so each sequence and target is equal length. Each sequence and target should not contain more than 24 instances of each value (1 through 13). If the sequence contains 24 instances of any value (1 through 13), the output target will not contain that value.
I've attached the training data.