Update README.md

Author: suvoooo

README.md

@@ -10,5 +10,5 @@ PCA_Muller.py 190818: Principal component analysis example with breast cancer da
 161018: gender_purchase.csv, data-set of two columns describing customers buying a product depending on gender.\
 111118: winequality-red.csv, red wine data set, where the output is the quality column which ranges from 0 to 10. This output is unbalanced as most of them are normal. So be careful!!\
 121118: pipelineWine.py, this program contains a simple example of applying pipeline and gridsearchCV together using the red wine data. More description can be found here https://towardsdatascience.com/a-simple-example-of-pipeline-in-machine-learning-with-scikit-learn-e726ffbb6976 \
-24112018 lagmult.py, this program just solves constrained optimization problem using plots. Basically contains an example of Lagrange's multiplier method. 
+24112018 lagmult.py, this program just solves constrained optimization problem using plots. Basically contains an example of Lagrange's multiplier method. \
 11122018 Consumer_Complaints_short.csv contains 3 columns describing the complaints, product_label and category (i.e. product label categorized). The real data file can be obtained from https://catalog.data.gov/dataset/consumer-complaint-database/resource/2f297213-7198-4be1-af1e-2d2623e7f6e9 . File size is around 650 MB. More details about the usage of this file will be uploaded soon when the text classification program is ready.