Update README.md

Author: ghosharitro

README.md

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 # Data Science with Python
+Data Science with Python will help you get comfortable with using the Python environment for data science. You will learn all the libraries that a data scientist uses on a daily basis. By the end of this book, you will be able to take a large raw dataset, clean it, manipulate it, and run machine learning algorithms to obtain results that influence business decisions. 
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+Advanced JavaScript by Rohan Chopra, Aaron England and Mohamed Noordeen
+
+## What you will learn
+*	Pre-process data to make it ready to use for machine learning
+*  Create data visualizations with Matplotlib
+*	Use scikit-learn to perform dimension reduction using principal component analysis (PCA)
+*	Solve classification and regression problems
+*	Get predictions using the XGBoost library
+*	Process images and create machine learning models to decode them
+*	Process human language for prediction and classification
+*	Use TensorBoard to monitor training metrics in real time
+*	Find the best hyperparameters for your model with AutoML
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+
+
+### Hardware Requirements
+For an optimal student experience, we recommend the following hardware configuration:
+* **Processor**: Intel Core i5 or equivalent
+* **Memory**: 4GB RAM (8 GB Preferred)
+* **Storage**: 15 GB available hard disk space
+* Internet connection
+
+### Software Requirements
+You'll also need the following software installed in advance:
+* **OS**: Windows 7 SP1 64-bit, Windows 8.1 64-bit or Windows 10 64-bit, Ubuntu Linux, or the latest version of OS X
+* **Browser**: Google Chrome/Mozilla Firefox Latest Version
+* Notepad++/Sublime Text as IDE (optional, as you can practice everything using Jupyter Notebook in your browser)
+* Python 3.4+ (the latest version is Python 3.7) installed (https://python.org)
+* Anaconda (https://www.anaconda.com/distribution/)
+
 
 
 #### Please note
 You can download the dataset for the following lessons from the respective URL:
 
-Lesson 06 and Lesson 07: https://github.com/PacktPublishing/Datasets-of-Master-Data-Science-with-Python
+Lesson 06, Lesson 07 and Lesson 08: https://github.com/PacktPublishing/Datasets-of-Master-Data-Science-with-Python
 Lesson 06 and Lesson 08 use the same dataset