Multi-Class Logistic Regression Model Development
Budget: $30 – $250 CAD
I have collected the dataset in CSV format and now require an expert to develop a multi-class logistic regression model for me.
Key requirements:
- The dataset is ready and available in CSV format which can be used for the model.
- You should have expertise in developing logistic regression models for multi-class classification.
- Proficiency with Python is a must as I prefer the model to be developed using this language.
Technical Requirements:
Proficiency in Python and familiarity with libraries such as NumPy, Pandas, Keras, and TensorFlow.
Knowledge of statistical learning, logistic regression, and gradient ascent optimization.
Ability to write clear and concise documentation and well-commented code.
Key requirements:
- The dataset is ready and available in CSV format which can be used for the model.
- You should have expertise in developing logistic regression models for multi-class classification.
- Proficiency with Python is a must as I prefer the model to be developed using this language.
Technical Requirements:
Proficiency in Python and familiarity with libraries such as NumPy, Pandas, Keras, and TensorFlow.
Knowledge of statistical learning, logistic regression, and gradient ascent optimization.
Ability to write clear and concise documentation and well-commented code.
Related categories:
Python
Machine Learning (ML)
Statistical Analysis
Deep Learning
Machine Learning Algorithms