Update README.md

Author: chhayac

README.md

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 | Linear Regression | [Linear_Regression.ipynb](https://github.com/chhayac/Machine-Learning-Notebooks/blob/master/Linear_Regression.ipynb) | Built a simple linear regression model to predict profit of food truck based on population and profit of different cities. |
 | Multivariate Linear Regression | [Multivariate_Linear_Regression.ipynb](https://github.com/chhayac/Machine-Learning-Notebooks/blob/master/Multivariate_Linear_Regression.ipynb) | Built a simple multivariate linear regression model to predict the price of a house based on the size of the house in square feet and number of bedrooms in the house. |
 | Sentiment Analysis of Movie Reviews| [Sentiment_Analysis.ipynb](https://github.com/chhayac/Machine-Learning-Notebooks/blob/master/Sentiment_Analysis.ipynb)| Experiment to analyze sentiment according to their movie reviews. |
-| Wine quality prediction | [Predicting_wine_quality.ipynb](https://github.com/chhayac/Machine-Learning-Notebooks/blob/master/Predicting_wine_quality.ipynb)| Experiment to predict wine quality with feature selection. |
+| Wine quality prediction | [Predicting_wine_quality.ipynb](https://github.com/chhayac/Machine-Learning-Notebooks/blob/master/Predicting_wine_quality.ipynb)| Experiment to predict wine quality with feature selection (In progress). |
 | Unsupervised Learning | [unsupervised_learning-Part_1.ipynb](https://github.com/chhayac/Machine-Learning-Notebooks/blob/master/unsupervised_learning-Part_1.ipynb)| Hands-on with Unsupervised learning. |
 | Autoencoders using Fashion MNIST| [Autoencoder_Fashion_MNIST.ipynb](https://github.com/chhayac/Machine-Learning-Notebooks/blob/master/Autoencoder_Fashion_MNIST.ipynb)| Building an autoencoder as a classifier using Fashion MNIST dataset. |