Create a reproducible pipeline that loads the raw CSV sales files, handles missing values,...

Create a reproducible pipeline that loads the raw CSV sales files, handles missing values,...

Train a simple linear regression model on the cleaned training set to predict next‑day dem...

Train a simple linear regression model on the cleaned training set to predict next‑day dem...

Add time‑based features (day of week, month, holidays) and product‑level aggregates (rolli...

Add time‑based features (day of week, month, holidays) and product‑level aggregates (rolli...

Wrap the final model in a FastAPI endpoint that accepts a JSON payload of feature values a...

Wrap the final model in a FastAPI endpoint that accepts a JSON payload of feature values a...

You will build a data pipeline that loads a public crop price dataset, cleans it, and crea...

You will build a data pipeline that loads a public crop price dataset, cleans it, and crea...

Produce a model card describing data, intended use, performance, limitations, and ethical...

Produce a model card describing data, intended use, performance, limitations, and ethical...

You will train a simple regression model to predict next-week crop prices using the cleane...

You will train a simple regression model to predict next-week crop prices using the cleane...

You will create new features from the existing data, such as moving averages and weather i...

You will create new features from the existing data, such as moving averages and weather i...

You will wrap the trained model in a FastAPI service that accepts crop type and date as in...

You will deploy the FastAPI service to a free host and write a README that explains how to...

You will wrap the trained model in a FastAPI service that accepts crop type and date as in...

You will deploy the FastAPI service to a free host and write a README that explains how to...

Gather a public dataset of logistics or e‑commerce reviews, filter for relevance, split in...

Gather a public dataset of logistics or e‑commerce reviews, filter for relevance, split in...

Create a preprocessing pipeline that tokenizes, removes stopwords, and vectorizes text wit...

Create a preprocessing pipeline that tokenizes, removes stopwords, and vectorizes text wit...

Build a Streamlit app that visualizes sentiment distribution over time, fetches prediction...

Create a new GitHub repo, set up a Python project structure, write a script that downloads...

Build a Streamlit app that visualizes sentiment distribution over time, fetches prediction...

Create a new GitHub repo, set up a Python project structure, write a script that downloads...

Add n‑gram features, experiment with SVM or XGBoost, and perform grid search to improve ac...

Wrap the trained model in a FastAPI service that accepts review text and returns sentiment...

Add n‑gram features, experiment with SVM or XGBoost, and perform grid search to improve ac...

Wrap the trained model in a FastAPI service that accepts review text and returns sentiment...