All Projects → umer7 → Applied Text Mining In Python

umer7 / Applied Text Mining In Python

Repo for Applied Text Mining in Python (coursera) by University of Michigan

Programming Languages

python
139335 projects - #7 most used programming language

Projects that are alternatives of or similar to Applied Text Mining In Python

support-tickets-classification
This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en
Stars: ✭ 142 (+140.68%)
Mutual labels:  text-mining, text-classification, pandas, classification, text-processing
Artificial Adversary
🗣️ Tool to generate adversarial text examples and test machine learning models against them
Stars: ✭ 348 (+489.83%)
Mutual labels:  classification, text-classification, text-mining, text-processing
Text Mining
Text Mining in Python
Stars: ✭ 18 (-69.49%)
Mutual labels:  jupyter-notebook, text-classification, text-mining, text-processing
Fake news detection
Fake News Detection in Python
Stars: ✭ 194 (+228.81%)
Mutual labels:  classification, text-classification, text-mining
Machine Learning Projects
This repository consists of all my Machine Learning Projects.
Stars: ✭ 135 (+128.81%)
Mutual labels:  jupyter-notebook, classification, pandas
Awesome Text Classification
Awesome-Text-Classification Projects,Papers,Tutorial .
Stars: ✭ 158 (+167.8%)
Mutual labels:  classification, text-classification, text-mining
Xioc
Extract indicators of compromise from text, including "escaped" ones.
Stars: ✭ 148 (+150.85%)
Mutual labels:  text-mining, regex, text-processing
Practical Machine Learning With Python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Stars: ✭ 1,868 (+3066.1%)
Mutual labels:  jupyter-notebook, classification, pandas
Machine Learning
My Attempt(s) In The World Of ML/DL....
Stars: ✭ 78 (+32.2%)
Mutual labels:  jupyter-notebook, classification, regex
Machine Learning With Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Stars: ✭ 2,197 (+3623.73%)
Mutual labels:  jupyter-notebook, classification, pandas
Rmdl
RMDL: Random Multimodel Deep Learning for Classification
Stars: ✭ 375 (+535.59%)
Mutual labels:  classification, text-classification, text-mining
Text-Classification-LSTMs-PyTorch
The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.
Stars: ✭ 45 (-23.73%)
Mutual labels:  text-mining, text-classification, text-processing
Nlp In Practice
Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
Stars: ✭ 790 (+1238.98%)
Mutual labels:  jupyter-notebook, text-classification, text-mining
Concise Ipython Notebooks For Deep Learning
Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.
Stars: ✭ 23 (-61.02%)
Mutual labels:  jupyter-notebook, text-classification, text-processing
Pandas basics
basic pandas tutorials
Stars: ✭ 34 (-42.37%)
Mutual labels:  jupyter-notebook, pandas
The Deep Learning With Keras Workshop
An Interactive Approach to Understanding Deep Learning with Keras
Stars: ✭ 34 (-42.37%)
Mutual labels:  jupyter-notebook, classification
Satellite imagery analysis
Implementation of different techniques to find insights from the satellite data using Python.
Stars: ✭ 31 (-47.46%)
Mutual labels:  jupyter-notebook, classification
Pandas Ta
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators
Stars: ✭ 962 (+1530.51%)
Mutual labels:  jupyter-notebook, pandas
Uc Davis Cs Exams Analysis
📈 Regression and Classification with UC Davis student quiz data and exam data
Stars: ✭ 33 (-44.07%)
Mutual labels:  text-mining, regex
Machinelearningcourse
A collection of notebooks of my Machine Learning class written in python 3
Stars: ✭ 35 (-40.68%)
Mutual labels:  jupyter-notebook, pandas

Applied-Text-Mining-in-Python

Module 1: Working with Text in Python

5 videos, 4 readings, 1 practice quiz

Reading: Course Syllabus

Reading: Help us learn more about you!

Video: Introduction to Text Mining

Video: Handling Text in Python

Reading: Notice for Auditing Learners: Assignment Submission

Notebook: Working with Text

Video: Regular Expressions

Notebook: Regex with Pandas and Named Groups

Video: Demonstration: Regex with Pandas and Named Groups

Practice Quiz: Practice Quiz

Video: Internationalization and Issues with Non-ASCII Characters

Discussion Prompt: Introduce Yourself

Reading: Resources: Common issues with free text

Notebook: Assignment 1

Graded: Module 1 Quiz

Graded: Assignment 1 Submission

Module 2: Basic Natural Language Processing

3 videos, 1 practice quiz

Video: Basic Natural Language Processing

Notebook: Module 2 (Python 3)

Video: Basic NLP tasks with NLTK

Video: Advanced NLP tasks with NLTK

Practice Quiz: Practice Quiz

Discussion Prompt: Finding your own prepositional phrase attachment

Notebook: Assignment 2

Graded: Module 2 Quiz

Graded: Assignment 2 Submission

Module 3: Classification of Text

7 videos

Video: Text Classification

Video: Identifying Features from Text

Video: Naive Bayes Classifiers

Video: Naive Bayes Variations

Video: Support Vector Machines

Video: Learning Text Classifiers in Python

Notebook: Case Study - Sentiment Analysis

Video: Demonstration: Case Study - Sentiment Analysis

Notebook: Assignment 3

Graded: Module 3 Quiz

Graded: Assignment 3 Submission

Module 4: Topic Modeling

4 videos, 2 readings, 1 practice quiz

Video: Semantic Text Similarity

Video: Topic Modeling

Video: Generative Models and LDA

Practice Quiz: Practice Quiz

Video: Information Extraction

Reading: Additional Resources & Readings

Notebook: Assignment 4

Reading: Post-Course Survey

Graded: Module 4 Quiz

Graded: Assignment 4 Submission

Note

For any Query you can Contact me

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].