Robust Predictive Model in Python
Budget: ₹600 – ₹1,500 INR
I am in need of a freelancing professional to develop a high-performing prediction model for business forecasting purposes. The model must comprehensively utilize numerical data, categorical data, as well as text data.
MAIN TASKS:
1. **Model Development**: In this project, your main task will be model development. The programming languages to be used are Python and XGBoost. The successful freelancer should have a strong understanding and practical experience with these languages, and be proficient in manipulating various types of data.
2. **Model Deployment**: Post-development, it will also be your job to deploy this model to be used for strategic forecasting in our business operations. Adequate experience in model deployment is essential.
SKILLS AND EXPERIENCE:
- Deep knowledge of Python and XGBoost.
- Big data handling skills.
- In-depth understanding of different data types (numerical, categorical, text) and how to effectively manipulate them for predictive modeling.
- Practical experience in developing high performing prediction models.
- Proficiency in model deployment in real-world scenarios.
Looking for an experienced Data scientist who is very comfortable using Python and XGBoost for prediction model architecture. You need to demonstrate past experience handling complex data sets and setting up successful predictive models, especially in a business context. Your experience will be key to the success of this project.
MAIN TASKS:
1. **Model Development**: In this project, your main task will be model development. The programming languages to be used are Python and XGBoost. The successful freelancer should have a strong understanding and practical experience with these languages, and be proficient in manipulating various types of data.
2. **Model Deployment**: Post-development, it will also be your job to deploy this model to be used for strategic forecasting in our business operations. Adequate experience in model deployment is essential.
SKILLS AND EXPERIENCE:
- Deep knowledge of Python and XGBoost.
- Big data handling skills.
- In-depth understanding of different data types (numerical, categorical, text) and how to effectively manipulate them for predictive modeling.
- Practical experience in developing high performing prediction models.
- Proficiency in model deployment in real-world scenarios.
Looking for an experienced Data scientist who is very comfortable using Python and XGBoost for prediction model architecture. You need to demonstrate past experience handling complex data sets and setting up successful predictive models, especially in a business context. Your experience will be key to the success of this project.