Section 3: Basics of Natural Language Processing

1) Tokenization

https://colab.research.google.com/drive/1rSOETbs6PI2HfhW2niZBRcOMP2iHzxtI

2) Stemming & Lemmatization

https://colab.research.google.com/drive/1DCvsBxphz2BkGSPT4_D9Qazt0uZKuHFu

3) Stop Words

https://colab.research.google.com/drive/1iJY4mNdkI2el-qHQbok5x7Kjh6ehkvkK

4) Vocabulary and Matching

https://colab.research.google.com/drive/1D8ZJ0nlFn_ZS-lthsfbcjVv1mSA5_ZvH

5) Parts of Speech Tagging

https://colab.research.google.com/drive/1D6MtiFm9iBiY8LWx4hWJYsxg0V76eE9J

6) Named Entity Recognition

https://colab.research.google.com/drive/1JK8VBcfKol2Pr13ezpRla4AaE9fhBgjL

7) Sentence Segmentation

https://colab.research.google.com/drive/1RzntwYo4YdDdBj-5M6MZ7SoS2mmEJ63d

Section 4: Spam Message Classification

https://colab.research.google.com/drive/15JaW1LxH3q4I9WH4yaBc9h1xPiXcu9eV#scrollTo=GYdRUs_9EBhw

Section 5: Restaurant Review Prediction (Good or bad)

https://colab.research.google.com/drive/1-L8X1XVZANYEVJZQfb3VS_5vzXbs2z3o

Section 6: IMDB, Amazon and Yelp review Classification

https://colab.research.google.com/drive/1Dsyd5zB23upbCRDxlrh_r1P1wIlILCEa

Section 7: Automated Text Summarization

https://colab.research.google.com/drive/1X_qckcxT1YWqgd3ACHcupKsBNTKBn6UD

Section 8: Twitter sentiment Analysis

https://colab.research.google.com/drive/1LYegx2VpTGx6lqU0zA_3kQP9KpmZXnzI

Section 10: Word Embeddings

1) Word Embeddings Theory

https://colab.research.google.com/drive/1UBWBHxQB5W2L5eab5xIZbpGa5mjOfARI

2) Train the model for Embeddings

https://colab.research.google.com/drive/1DHz_4yfj0s1ZidkesikYmM7VBCsPmlOG

3) Use pretrained model for Embeddings

https://colab.research.google.com/drive/1GXbC6tIVr3qEJ7Wuig6yoyx2noqUGJIB

Section 11: Text Classification with CNN

https://colab.research.google.com/drive/1MCxHB69I_MY1UUm7ZljuqLNqLzwPxj1v

Section 12: Text Classification with RNN

https://colab.research.google.com/drive/17QHXxf_oVPNj7iRz8u3zJxH2TnpS13pj

Section 13: Automatic Text Generation using TensorFlow, Keras and LSTM

https://colab.research.google.com/drive/1gO9e0i5i1k6hQu_-OzN0D71WGZSLCEad

Section 14: Data Analysis with Numpy

https://colab.research.google.com/drive/19gdFCeOrwoOFcyOdC0aINPMW9b8NKZoX

Section 15: Data Analysis with Pandas

Colab Part 1:

https://colab.research.google.com/drive/1U1kumO6AYGNjq-067WHyXRFfy1tz-N3D

Colab Part 2:

https://colab.research.google.com/drive/13IpO-Yc-qo4bSHDI3oRRTGYDIufgON30

Section 16: Data Visualization with Matplotlib

https://colab.research.google.com/drive/1eCNbA7UtMEu6HBn6ToN3zbiUDkUsilPA

Section 17: Appendix

1) Working with Text Files in Python

https://colab.research.google.com/drive/1XN7BHHCUcpJSCVwSOuw8OqkzRKVy8wva

2) Working with PDF files in Python

https://colab.research.google.com/drive/153QzDlHlH0xdlBDSHWCnMh8dboI7mmAJ