Regression Model for Continuous Value Predictions
Budget: ₹1,500 – ₹12,500 INR
I'm seeking a professional who can develop a regression-based AI/ML model for my project. The scope of the project involves predicting continuous values from input data that is 35*104 in dimension, and needs to be transformed into output of 35*27. Each row in the input data represents a single sample.
Key Requirements:
- Build a regression model: The main objective of this project is to predict continuous values. Hence, the AI/ML model should be specifically designed for regression tasks.
- Data Preprocessing: Prior to model development, the input data will need to undergo comprehensive preprocessing. This includes:
- Feature scaling: Normalizing/standardizing the features of the input data.
- Missing value imputation: Handling any missing data points in the dataset.
- Outlier removal: Identifying and removing any outliers present in the data.
Ideal Skills and Experience:
- Proven experience in developing regression models for AI/ML projects.
- Strong understanding of data preprocessing techniques, especially in the context of regression tasks.
- Proficiency in utilizing tools and libraries for AI/ML model development (such as Python, TensorFlow, scikit-learn, etc.).
- A track record of delivering accurate and efficient prediction models.
If you possess the necessary skills and experience, and are confident in your ability to deliver a high-quality regression model for my project, I look forward to reviewing your bid.
Key Requirements:
- Build a regression model: The main objective of this project is to predict continuous values. Hence, the AI/ML model should be specifically designed for regression tasks.
- Data Preprocessing: Prior to model development, the input data will need to undergo comprehensive preprocessing. This includes:
- Feature scaling: Normalizing/standardizing the features of the input data.
- Missing value imputation: Handling any missing data points in the dataset.
- Outlier removal: Identifying and removing any outliers present in the data.
Ideal Skills and Experience:
- Proven experience in developing regression models for AI/ML projects.
- Strong understanding of data preprocessing techniques, especially in the context of regression tasks.
- Proficiency in utilizing tools and libraries for AI/ML model development (such as Python, TensorFlow, scikit-learn, etc.).
- A track record of delivering accurate and efficient prediction models.
If you possess the necessary skills and experience, and are confident in your ability to deliver a high-quality regression model for my project, I look forward to reviewing your bid.