Machine_Learning_Hands-On

content:

0. Python Fundamentals in Complete Detail
1. pandas practice
2. numpy practice
3. matplotlib practice
4. Scikit Learn

Python Fundamentals in Detail

Python1.ipynb

Python2.ipynb

OOPs in Python

Numpy in Detail Numpy.ipynb

Pandas in Detail Pandas.ipynb

Matplotlib in Detail Matplotlib.ipynb

Scikit_Learn in Detail Scikit_Learn.ipynb

Thanks to the course: Complete Machine Learning and Data Science Bootcamp 2021: Zero to Mastery Academy

Natural Language Processing in Python

1. Intro_to_NLP.ipynb

Content:

1. Regular Expressions and word Tokenization
2. Simple Topic Identification
3. Named-entity recognition
4. Building a "Fake News" classifier

Thanks to the course:Introduction to natural language processing in python

2. Feature_Engineering_for_NLP.ipynb

Content:

1. Basic features and readability scores
2. Text preprocessing, Part Of Speech tagging and Named Entity Recognition
3. N-Gram models
4. TF-IDF and similarity scores

Thanks to the course:Feature Engineering for NLP in Python