Started time series

Author: nripstein

Diff for: Time Series fundamentals + Milestone Project 3: BitPredict.ipynb

@@ -0,0 +1,79 @@
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+    "ExecuteTime": {
+     "end_time": "2023-06-20T18:31:03.618004Z",
+     "start_time": "2023-06-20T18:30:58.700881Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import tensorflow as tf"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "# What we're going to cover\n",
+    "\n",
+    "1. Get time series data (the historical price of Bitcoin)\n",
+    "2. Load in time series data using pandas/Python's CSV module\n",
+    "3. Format data for a time series problem\n",
+    "4. Creating training and test sets (the wrong way)\n",
+    "5. Creating training and test sets (the right way)\n",
+    "6. Visualizing time series data\n",
+    "7. Turning time series data into a supervised learning problem (windowing)\n",
+    "8. Preparing univariate and multivariate (more than one variable) data\n",
+    "9. Evaluating a time series forecasting model\n",
+    "10. Setting up a series of deep learning modelling experiments\n",
+    "11. Dense (fully-connected) networks\n",
+    "12. Sequence models (LSTM and 1D CNN)\n",
+    "13. Ensembling (combining multiple models together)\n",
+    "14. Multivariate models\n",
+    "15. Replicating the N-BEATS algorithm using TensorFlow layer subclassing\n",
+    "16. Creating a modelling checkpoint to save the best performing model during training\n",
+    "17. Making predictions (forecasts) with a time series model\n",
+    "18. Creating prediction intervals for time series model forecasts\n",
+    "19. Discussing two different types of uncertainty in machine learning (data uncertainty and model uncertainty)\n",
+    "20. Demonstrating why forecasting in an open system is BS (the turkey problem)"
+   ],
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+   }
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