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Sales Forecasting with Time Series

data science & mlBeginner365d access

₹99onwards

Forecast product sales using Prophet and ARIMA. Build a Streamlit dashboard that visualizes predictions vs. actuals and explains seasonality and trend components.

Identify trend, seasonality, and stationarity in a real time series dataset
Train and evaluate both Prophet and ARIMA forecasting models
Compare model performance using MAE, RMSE, and MAPE
Visualize forecast results with confidence intervals in Streamlit

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Customer Churn Predictor with XGBoost

data science & mlBeginner365d access

₹99onwards

Train an XGBoost classifier on a real customer dataset, tune hyperparameters with cross-validation, and deploy it as a FastAPI prediction endpoint.

Perform end-to-end ML: EDA → feature engineering → model training → evaluation → deployment
Train and tune an XGBoost classifier with cross-validation
Handle class imbalance using scale_pos_weight
Evaluate a classifier using precision, recall, F1, and ROC-AUC

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Data Labeling Pipeline for AI Training

data science & mlBeginner365d access

₹99onwards

Build a pipeline that presents raw text data for human labeling via a clean UI and exports a structured JSONL dataset ready for LLM fine-tuning.

Design a practical data labeling schema for a real NLP classification task
Build a human-in-the-loop labeling tool using Streamlit
Export labeled data in the JSONL instruction-tuning format
Validate dataset quality: check for empty fields, label imbalance, and duplicates

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