Data Mining & Machine Learning
At Datascience9, we specialize in delivering advanced data mining solutions that transform raw information into actionable intelligence. Our services empower organizations to uncover hidden patterns, predict trends, and make data-driven decisions with confidence.
To ensure our models are robust, we employ ensemble methods using multiple learning algorithms to cross-check results, preventing overfitting and high bias. We also rigorously utilize cross-validation techniques.
Our firm is actively and continually learning new approaches in machine learning and applying those improved techniques in new projects.
Projects
In this project, we performed data mining from the Amazon product metadata that are available on the Stanford repository. The output is SQL insert statements that insert the Amazon metadata into a MySQL database for data analytics. The source code is available on GitHub.
Process:
- 1.Reviewed and created a SQL schema to store the Amazon meta
- 2.Created a Python function that extracts the metadata and generates SQL insert statements
- 3.Ran SQL insert statements to store data into the database
- 4.Ready for data analytics or building recommendation systems
Technologies
- Colab→
- Mask-CNN→
- Numpy Python→
- Scipy Python→
- PyTorch→
- TensorFlow→
- Transfer Learning→
- Keras→