Pinned Repositories
ai-projects
Artificial Intelligence projects, documentation and code.
algorithmia-python
Python Client for Algorithmia Algorithms and Data API
automated-feature-engineering
Automated feature engineering in Python with feature tools
awesome-courses
:books: List of awesome university courses for learning Computer Science!
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
Awesome_Machine_Learning_Solutions
A curated list of repositories for my book Machine Learning Solutions.
cookbook-2nd-code
Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
Data-Analysis
Data Analysis Using Python
MDS.Python.Assignment5.2
MDS.Python.Assignment5.2
paps272003's Repositories
paps272003/ai-projects
Artificial Intelligence projects, documentation and code.
paps272003/algorithmia-python
Python Client for Algorithmia Algorithms and Data API
paps272003/automated-feature-engineering
Automated feature engineering in Python with feature tools
paps272003/awesome-courses
:books: List of awesome university courses for learning Computer Science!
paps272003/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
paps272003/awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
paps272003/Awesome_Machine_Learning_Solutions
A curated list of repositories for my book Machine Learning Solutions.
paps272003/cookbook-2nd-code
Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
paps272003/Data-Analysis
Data Analysis Using Python
paps272003/deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
paps272003/deep-learning-book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
paps272003/deep_learning_cookbook
Deep Learning Cookbox
paps272003/Hands-On-Natural-Language-Processing-with-Python
This repository is for my students of Udemy. You can find all lecture codes along with mentioned files for reading in here. So, feel free to clone it and if you have any problem just raise a question.
paps272003/List_Comprehensions
List_Comprehensions
paps272003/machine-learning
Content for Udacity's Machine Learning curriculum
paps272003/Machine-Learning-Projects
Machine Learning Experiments and Work
paps272003/machine_learning_examples
A collection of machine learning examples and tutorials.
paps272003/MD.ML.Project3
MD.ML.Project3
paps272003/MDS_ML_PROJECT1
European Soccer Analysis
paps272003/nlp
:memo: This repository recorded my NLP journey.
paps272003/nlp-text-mining-working-examples
Full working examples for Text Mining and NLP. Gensim word2vec, phrase embeddings, keyword extraction with TF-IDF and sklearn, word count with PySpark
paps272003/pandas-cookbook
Recipes for using Python's pandas library
paps272003/pandas_for_everyone
Repository to accompany "Pandas for Everyone"
paps272003/python_more_awesome
The essential Python list
paps272003/PythonMachineLearning
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
paps272003/sample-apps
Sample apps and sites with Algorithmia integration
paps272003/TensorFlow-LiveLessons
"Deep Learning with TensorFlow" LiveLessons
paps272003/TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
paps272003/Text--Summarization
Automatic summarization is the process of shortening a text document with software, in order to create a summary with the major points of the original document. Technologies that can make a coherent summary take into account variables such as length, writing style and syntax.
paps272003/web_scraping_resources
WEB SCRAPING AND CONTENT MINING Web Scraping is a method for extracting textual characters from websites so that they could be analyzed. Web scraping is sort of content mining, which means that you collect useful information from websites, including quotes, prices, news company info, etc.This method for gathering data is direct, either through looking at websites' html code or visual abstraction techniques using Python programming language.