Create the repo structure, load the provided bottle image dataset, split it into training,...

Create the repo structure, load the provided bottle image dataset, split it into training,...

Add realistic augmentations (rotation, flip, brightness) to the training pipeline, retrain...

Add realistic augmentations (rotation, flip, brightness) to the training pipeline, retrain...

Generate a confusion matrix, identify the most common misclassifications, and produce a co...

Generate a confusion matrix, identify the most common misclassifications, and produce a co...

Wrap the trained model in a FastAPI service, expose a /predict endpoint that accepts an im...

Wrap the trained model in a FastAPI service, expose a /predict endpoint that accepts an im...

You will create a realistic sample dataset of monthly wedding bookings for Mehfil Event Pl...

You will create a realistic sample dataset of monthly wedding bookings for Mehfil Event Pl...

You will build a simple baseline model to predict monthly wedding bookings using the clean...

You will build a simple baseline model to predict monthly wedding bookings using the clean...

You will improve the forecasting model by adding new features to the dataset. Create featu...

You will improve the forecasting model by adding new features to the dataset. Create featu...

You will create a simple web app using Flask that allows Mehfil Event Planners to view the...

Create a realistic synthetic dataset of crop fields with features like soil type, rainfall...

You will create a simple web app using Flask that allows Mehfil Event Planners to view the...

Create a realistic synthetic dataset of crop fields with features like soil type, rainfall...

Using the synthetic dataset, engineer additional features (e.g., rainfall per month, tempe...

Using the synthetic dataset, engineer additional features (e.g., rainfall per month, tempe...

Wrap the trained model in a FastAPI service that accepts JSON payloads of field features a...

Create a Streamlit app that lets users input field features, calls the API, and displays t...

Wrap the trained model in a FastAPI service that accepts JSON payloads of field features a...

Create a Streamlit app that lets users input field features, calls the API, and displays t...

Implement a simple drift monitoring script that compares recent predictions to training di...

Implement a simple drift monitoring script that compares recent predictions to training di...