Natural Language Processing Real World Use-cases in Python
- Description
- Curriculum
- FAQ
- Reviews
- Are you looking to land a top-paying job in Data Science/Natural Language Processing?
- Or are you a seasoned AI practitioner who want to take your career to the next level?
- Or are you an aspiring data scientist who wants to get Hands-on Natural Language Processing and Machine Lrarning?
Welcome to the course of Real world use-cases on Natural Language Processing ! This course is specifically designed to be ready for Job perspective in Natural Language Processing domain using Python programming language.
In the course we will cover everything you need to learn in order to solve Real World Challenges in NLP with Python.
We’ll start off with the basics, learning how to open and work with text and csv files with Python, as well as we will learn how to clean & manipulate data & how to use regular expressions to search for custom patterns inside of text data…
Afterwards we will begin with the basics of Natural Language Processing, utilizing the Natural Language Toolkit library for Python, as well as we will cover intuition behind tokenization, Stemming and lemmatization of text.
1.Project #1 @Predict Ratings of a Zomato Resaturant : Develop an AI/NLP model to predict Ratings of Zomato Restaurants..
2.Project #2 @Predict Whether News is Fake or Real: Predict whether news is fake or Real by building Pipeline..
3.Project #3 @Predict Winner of a Election : Perform Sentiment Analysis to Predict winner of a election..
Why should you take this Course?
- It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
- It shows and explains the full real-world Data. Starting with importing messy data, cleaning data, merging ,wrangling and concatenating data , perform advance Exploratory Data Analysis & preparing and processing data for Statistics, Machine Learning , NLP & to come up with meaningful insights at the end..
- In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion
- Not only do you get fantastic technical content with this course, but you will also get access to both our course related Question and Answer forums which is available for you 24*7
- Guaranteed Satisfaction : All of this comes with a 30 day money back guarantee, so you can try the course risk free.
What are you waiting for? Become an expert in natural language processing today!
I will see you inside the course,
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4Datasets & ResourcesText lesson
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5Understanding your Data & finding missing values inside itVideo lesson
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6Pre-process Data & Remove duplicate valuesVideo lesson
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7Perform Discretisation to ready your Target Feature..Video lesson
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8Prepare your reviews list feature using regular expressionVideo lesson
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9How to Generate your word-cloudVideo lesson
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10Data Cleaning on reviews listVideo lesson
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11What are Stopwords & how to remove it from our dataVideo lesson
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12What is Unigram & how to Perform Unigram AnalysisVideo lesson
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13What are Bigram & Trigrams and how to perform Bigram & TriGram Analysis...Video lesson
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14Analysing Most famous CuisinesVideo lesson
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15How to prepare our data for Machine Learning..Video lesson
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16how to Lemmatize your data..Video lesson
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17Perform Feature Encoding on dataVideo lesson
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18Intuition behind TF-IDF part-1Video lesson
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19Intuition behind TF-IDF part-2Video lesson
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20Applying TF-IDF on your Text dataVideo lesson
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21Intuition Behind Logistic Regression - Part 1Video lesson
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22Intuition Behind Logistic Regression - Part 2Video lesson
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23Build Logistic Regression model & evaluate it..Video lesson
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24Intuition Behind Naive Bayes - Part 1Video lesson
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25Intuition Behind Naive Bayes - Part 2Video lesson
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26Intuition behind Decision Tree - Part 1Video lesson
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27Intuition behind Decision Tree - Part 2Video lesson
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28Intuition behind Decision Tree - Part 3Video lesson
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29Intuition behind Decision Tree - Part 4Video lesson
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30Intuition behind Decision Tree - Part 5Video lesson
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31Intuition behind Decision Tree - Part 6Video lesson
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32Intuition Behind Random Forest- Part 1Video lesson
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33Intuition Behind Random Forest- Part 2Video lesson
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34Intuition Behind Linear Regression- Part 1Video lesson
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35Intuition Behind Linear Regression- Part 2Video lesson
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36Intuition Behind Linear Regression- Part 3Video lesson
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37Intuition Behind KNN- Part 1Video lesson
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38Intuition Behind KNN- Part 2Video lesson
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39Intuition Behind KNN- Part 3Video lesson
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40Intuition Behind KNN- Part 4Video lesson
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41Playing with Multiple classification Algorithms..Video lesson
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42Part1-- What is Cross-validation & when to use it??Video lesson
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43Part2 -- What is Cross-validation & when to use it??Video lesson
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44How to Cross validate your Machine learning model..Video lesson
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