Merge pull request #4 from anirbansaha96/patch-1

Update README.md

Author: schigrinov

README.md

@@ -10,11 +10,11 @@
 This repository contains the code for the Capstone project for WQU university https://wqu.org
 Thanks a lot, Igor Tulchinsky, for this amazing opportunity!
 
-This repository contains the code (can be used as a package) and notebooks implementing a trading strategy based on machine learning algorythms. Major part of the code was put into a package "WQUcapstoneCode". Notebooks contain visual representation of analysis steps and results. The idea and code are inspired by Marcos Lopez de Prado:"Advances in Financial Machine Learning" and https://www.kaggle.com .
+This repository contains the code (can be used as a package) and notebooks implementing a trading strategy based on machine learning algorithms. Major part of the code was put into a package "WQUcapstoneCode". Notebooks contain visual representation of analysis steps and results. The idea and code are inspired by Marcos Lopez de Prado:"Advances in Financial Machine Learning" and https://www.kaggle.com .
 
 Required libraries:
 * most standard libraries - pandas v1.0.5, numpy v1.18.1, matplotlib v3.1.3, seaborn v0.10.0, sklearn v0.22.1
-* fxcmpy - the main data sourse. You can skip it and utilize the csv files from the "input_data" folder instead
+* fxcmpy - the main data source. You can skip it and utilize the csv files from the "input_data" folder instead
 * scipy v1.4.1 - statistics
 * tqdm v4.43.0 - progress bar - can be completely removed from the code if you wish
 * lightgbm v2.3.0, xgboost v0.90 - ML algos - didn't make it into the final ensemble - they're too good, so prone to overfitting