Category: Kaggle Financial
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Deep Learning for Algorithmic Trading: From LSTM to Transformers
Build complete algorithmic trading systems with LSTM and Transformer models, generate trading signals, and validate strategies through rigorous backtesting.
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Detecting Financial Fraud using Anomaly Detection Techniques
Master credit card fraud detection using anomaly detection techniques. Learn SMOTE, Isolation Forest, and proper evaluation metrics for imbalanced data.
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Building a Credit Risk Scoring Model with Machine Learning
Build production-ready credit scoring models with XGBoost and LightGBM. Learn feature engineering, AUC-ROC evaluation, and SHAP interpretability.
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Advanced Feature Engineering for Financial Time-Series
Master financial feature engineering: create RSI, MACD, Bollinger Bands, log returns, lag features, and rolling statistics for time-series ML models.
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Exploratory Data Analysis (EDA) for Stock Price Prediction
Master exploratory data analysis for stock prediction: visualization, moving averages, volatility metrics, and correlation analysis with Python.
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Navigating the Landscape of Financial Datasets on Kaggle
Master financial data analysis with Kaggle datasets. Learn time-series characteristics, environment setup, and explore key datasets for stocks, credit risk, and fraud detection.