Amit — Machine Learning freelancer in Ahmedabad

- Utilized Sagemaker Pipelines to orchestrate the entire machine learning workflow - Pipeline allowed for the automation and integration of various preprocessing and training tasks, ensuring a streamlined and reproducible process - Started by defining a pipeline with a series of steps that contained data preparation, model training, evaluation, and deployment - Pipeline facilitated the seamless integration of the new data into the training process, enabling the model to continuously learn and adapt to evolving conditions - Integrated Sagemaker model registry to manage versions of the trained models facilitating easy tracking and comparison of model performance over time - Latest models were then deployed in Sagemaker endpoints for inference via approving the model in Sagemaker Registry