Algorithmic Trading with Python Machine Learning strategies Moneiac 2

Part 2 (1:39:45) 3. Basics of Python for Data Science 0:00:00 3. Numpy Random 0:08:00 4. Numpy Indexing slicing Transformation 0:22:22 5. Pandas Serie and DataFrame 0:27:36 6. Pandas Cleaning and selection data 0:41:10 7. Pandas Conditional selection 0:45:35 8. Matplotlib Graph 0:48:44 9. Matplotlib Scatter 0:51:06 10. Matplotlib Tools 4. Import financial data 0:54:02 1. Introduction Install library on google colab 0:55:21 2. Import the data 1:00:57 3. Strengths and weaknesses of yfinance 5. Financial features engineering 1:04:13 1. Introduction 1:06:25 2. Get stock prices 1:08:53 3. Create a simple moving average (SMA) 1:14:57 4. Create a moving standard deviation (MSD) 1:18:06 5. Use the technical analysis library to create a RSI indicator 1:22:34 6. Automatisation of the features engineering process 6. Linear regression algorithm 1:25:02 1. Introduction 1:25:55 2. Linear Regression Theory 1:30:04 3. Import the data 1:31:48 4. Split the dataset 1:36:36 5. Linear Regression Practice