Detecting and Classifying Algorithm by Machine Learning - Python Developer
Budget: $30 – $250 USD
Scope:
Looking for an experienced Machine Learning Developer who can develop a Multi_Class Classifier algorithm that can detect wanted samples from an IoT dataset and classify them based on the class model idea that I have (to be provided).
Required Experience:
Experience in building algorithms using Python.
Experience in cleaning the datasets used by Machine Learning Algorithms.
Experience in building algorithms based on Machine Learning (Multi_class classification) Classifier. and visualizing the results in plots.
Familiar with IoT Network data.
To be the best fit for this project you need:
- Knowledge of how to build and prepare datasets. ( the dataset is not prepared, you need to clean it or maybe generate a dataset to fit the required features in the model).
- Knowledge of Machine Learning Classifiers.
- knowledge of using Jupyter notebook.- (no boundaries if you prefer to use another code editor or software that is more practical ).
- knowledge of IoT network data and how it works.
- Ability to explain the whole work and how did you do it in detail.
- Ability to communicate clearly.
- Dedication to meet project deadlines in a timely manner.
- Willingness to sign an NDA.
Deliverables:
- The Cleaned Dataset.
- The multi-class classifier Algorithm Python Code.
- The Data analysis plots and algorithm explanation document.
- The Results Plots.
Resources:
- initial dataset (not cleaned) - we may need to collect and generate a dataset based on the algorithm requirements.
If you are interested in this project, please reply to this post.
Looking for an experienced Machine Learning Developer who can develop a Multi_Class Classifier algorithm that can detect wanted samples from an IoT dataset and classify them based on the class model idea that I have (to be provided).
Required Experience:
Experience in building algorithms using Python.
Experience in cleaning the datasets used by Machine Learning Algorithms.
Experience in building algorithms based on Machine Learning (Multi_class classification) Classifier. and visualizing the results in plots.
Familiar with IoT Network data.
To be the best fit for this project you need:
- Knowledge of how to build and prepare datasets. ( the dataset is not prepared, you need to clean it or maybe generate a dataset to fit the required features in the model).
- Knowledge of Machine Learning Classifiers.
- knowledge of using Jupyter notebook.- (no boundaries if you prefer to use another code editor or software that is more practical ).
- knowledge of IoT network data and how it works.
- Ability to explain the whole work and how did you do it in detail.
- Ability to communicate clearly.
- Dedication to meet project deadlines in a timely manner.
- Willingness to sign an NDA.
Deliverables:
- The Cleaned Dataset.
- The multi-class classifier Algorithm Python Code.
- The Data analysis plots and algorithm explanation document.
- The Results Plots.
Resources:
- initial dataset (not cleaned) - we may need to collect and generate a dataset based on the algorithm requirements.
If you are interested in this project, please reply to this post.