Natural Language Processing (NLP) with Python: 2020

Natural Language Processing (NLP) with Python: 2020

Natural Language Processing (NLP) with Python: 2020
Natural Language Processing (NLP) with Python: 2020, Learn Natural Language Processing with Python, Machine Learning, Deep Learning, SpaCy, NLTK, Sklearn, CNN, RNN &more !
Created by Ankit Mistry, Vijay Gadhave, Data Science & Machine Learning Academy
English [Auto]


Recent reviews:

"Very practical and interesting, Loved the course material, organization and presentation. Thank you so much"

"This is the best course to learn NLP from the basic. very is easy to follow, hands on, and practical for industry professionals...It covers almost everything in NLP"


Hi Data Lovers,

Do you have idea about Which Artificial Intelligence field is going to get big in upcoming year?

According to statista dot com which field of AI is predicted to reach $43 billion by 2025?

If  answer is 'Natural Language Processing', You are at right place.


Do you want to know

How Google News classify millions of news article into hundreds of different category.

How Android speech recognition recognize your voice with such high accuracy.

How Google Translate actually translate hundreds of pairs of different languages into one another.

If answer is "Yes", You are on right track.

and to help yourself, me and my friend Vijay have created comprehensive course  For Students and Professionals to learn Natural Language Processing from very Beginning.


NLP - "Natural Language Processing" has found space in every aspect of our daily life.

Cell phone internet are the integral part of our life. Any most application you will find the use of NLP methods, from search engine of Google to recommendation system of Amazon & Netflix.


Google Now, Apple Siri, Amazon Alexa

Machine Translation

Sentiment analysis

Speech Recognition and many more.

So, welcome to my course on NLP.

Complete Natural Language Processing (NLP) with Spacy & NLTK


This course has 10+ Hours of HD Quality video, and following content.

Course Outline :

1 : Welcome In this section we will get complete idea about what we are going to learn in the whole course and understanding related to natural language processing.

2 :  Installation & Setup In this section we will get our online environment Google Colab setup.

3 : Basics of Natural Language Processing In this section we will dive into all basic NLP task like Tokenization, Lemmatization, stop word removal, name entity   recognition, part of speech tagging, and see how to apply with different functions available in a  Spacy and NLTK library.

4, 5, 6 : Spam Message Classification,  Restaurant Review Prediction (Good or bad),  IMDB, Amazon and Yelp review Classification

In the next 3 section we will get dive into a real world data set for text classification, spam detection, restaurant review classification, Amazon IMDb reviews. We will see how to do Pre-Processing and make your data suitable for machine learning algorithm and apply different Machine Learning estimator (Logistic Regression, SVM, Decision Tree) for classifying text.

7, 8 : Automated Text Summarization,  Twitter sentiment Analysis In this 2 section we will work upon real world application of NLP.

Automatic text summarisation, Which compress your text to find the summary of big articles

Another one we will work is finding the sentiment from the recently posted tweet about some specific keyword with the help of Twitter API - tweepy library

9 : Deep Learning Basics In This Section we will get a basic idea about Deep learning concept, like artificial neural network activation function and how ANN works.

10 : Word Embedding In This Section, we will see How to implement word2vec on our custom datasets, as well as using Pretrained Google Model.

11, 12 : Text Classification with CNN & RNN In this section we will see how to apply advanced deep learning model like convolution neural networks and recurrent neural networks for text classification.

13 : Automatic Text Generation using TensorFlow, Keras and LSTM In this section we will apply neural network based LSTM model to automatically generate text.

14, 15, 16, 17 : Numpy, Pandas, Matplotlib + File Processing In this section, for all of you who want refresh concept related to data analysis with Numpy and Pandas library, Data Visualization with Matplotlib library, and Text File processing and PDF File processing.


So, This is the one of the most comprehensive course on natural language processing,

And I am expecting you to know basic knowledge of python and your curiosity to learn Different techniques in NLP world.


Lifetime access to Natural Language Processing (NLP) with Python Course

Udemy Certificate of Completion available for download

Friendly support in the Q&A section

So What Are You Waiting For ? Enroll today! and Empower Your Career !

I can't wait for you to get started on mastering NLP with Python.

Start analyzing your text data & I will see you inside a class.


Ankit & Vijay

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