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
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