Transcription of The Big Book of Data Science Use Cases - Databricks
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The Big Book of Data Science Use Cases - Databricks
The Big Book of Data Science Use CasesA collection of technical blogs, including code samples and notebooksContentsTHE BIG BOOK OF DATA Science USE CASESCHAPTER 1: Introduction 3 CHAPTER 2: Democratizing Financial Time Series Analysis 4 CHAPTER 3: Using Dynamic Time Warping and MLflow to Detect Sales Trends Series PART 1 : Understanding Dynamic Time Warping 13 PART 2: Using Dynamic Time Warping and MLflow to Detect Sales Trends 19 CHAPTER 4: How a Fresh Approach to Safety Stock Analysis Can Optimize Inventory 26 CHAPTER 5: New Methods for Improving Supply Chain Demand Forecasting 31 CHAPTER 6: Fine-Grained Time Series Forecasting at Scale With Prophet and Apache Spark 40 CHAPTER 7: D
Oct 09, 2019 · Leveraging Koalas for market manipulation The pandas API is the standard tool for data manipulation and analysis in Python and is deeply integrated into the Python data science ecosystem, e.g., NumPy, SciPy, Matplotlib. One drawback of pandas is that it does not scale easily to large amounts of data.
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