Fix #50b - Rename notebook folder to notebooks

README.md

@@ -51,4 +51,4 @@ $ bash rapids/notebooks/utils/start-jupyter.sh
 
 ### Example notebooks
 
-Example notebooks, tutorial showcasing, can be found in __notebook__ folder.
+Example notebooks, tutorial showcasing, can be found in __notebooks__ folder.

notebooks/06_xgboost_trade.ipynb

@@ -6,7 +6,7 @@
    "source": [
     "### Trade with XGBoost algorithm\n",
     "### Background\n",
-    "In the [portfolio trade example](https://github.com/rapidsai/gQuant/blob/master/notebook/04_portfolio_trade.ipynb), we use gQuant to backtest a simple mean reversion trading strategy on 5000 stocks.\n",
+    "In the [portfolio trade example](https://github.com/rapidsai/gQuant/blob/master/notebooks/04_portfolio_trade.ipynb), we use gQuant to backtest a simple mean reversion trading strategy on 5000 stocks.\n",
     "It shows decent performance by tweaking the moving average window size. Searching for alpha signal is the ultimate goal for the trading companies. A lot of different methods are used to do so. Machine learning approach\n",
     "is one of those. It has the benefits of extracting important information in the data automatically given enough computation. There are a few popular machine learning algrithoms, including SVM, Random forest tree etc. Amoung those, XGBoost is known to be a very powerful machine \n",
     "learning method that is winning a lot of [ML competitions](https://medium.com/syncedreview/tree-boosting-with-xgboost-why-does-xgboost-win-every-machine-learning-competition-ca8034c0b283). Luckily, the [RAPIDS library](https://github.com/rapidsai) accelerates the XGBoost ML algorithm in the GPU so that we can easily take advantage of it in the gQuant. \n",