Kirk Borne
@KirkDBorne
Python for Finance Cookbook - with 80+ powerful recipes for financial data analysis: https://t.co/TO012Iv4rp
𝗧𝗮𝗯𝗹𝗲 𝗢𝗳 𝗖𝗼𝗻𝘁𝗲𝗻𝘁𝘀:
🔶Acquiring Financial Data
🔶Data Preprocessing
🔶Visualizing Financial Time Series
🔶Exploring Financial Time Series Data
🔶Build Interactive Dashboards for Technical Analysis
🔶Time Series Analysis and Forecasting
🔶Machine Learning-Based Approaches to Time Series Forecasting
🔶Multi-Factor Models
🔶Modeling Volatility
🔶Monte Carlo Simulations in Finance
🔶Asset Allocation
🔶Back-testing Trading Strategies
🔶Applied Machine Learning: Identifying Credit Default
🔶Advanced Concepts for Machine Learning Projects
🔶Deep Learning in Finance