bonzanini / Book Socialmediaminingpython
Companion code for the book "Mastering Social Media Mining with Python"
Stars: ✭ 462
Programming Languages
python
139335 projects - #7 most used programming language
Labels
Projects that are alternatives of or similar to Book Socialmediaminingpython
Biolitmap
Code for the paper "BIOLITMAP: a web-based geolocated and temporal visualization of the evolution of bioinformatics publications" in Oxford Bioinformatics.
Stars: ✭ 18 (-96.1%)
Mutual labels: data-science, data-mining, natural-language-processing, data-visualization
Data Science Toolkit
Collection of stats, modeling, and data science tools in Python and R.
Stars: ✭ 169 (-63.42%)
Mutual labels: data-science, data-mining, natural-language-processing, data-visualization
Gensim
Topic Modelling for Humans
Stars: ✭ 12,763 (+2662.55%)
Mutual labels: data-science, data-mining, natural-language-processing
Pzad
Курс "Прикладные задачи анализа данных" (ВМК, МГУ имени М.В. Ломоносова)
Stars: ✭ 160 (-65.37%)
Mutual labels: data-science, data-mining, data-visualization
Gwu data mining
Materials for GWU DNSC 6279 and DNSC 6290.
Stars: ✭ 217 (-53.03%)
Mutual labels: data-science, data-mining, data-visualization
Dat8
General Assembly's 2015 Data Science course in Washington, DC
Stars: ✭ 1,516 (+228.14%)
Mutual labels: data-science, natural-language-processing, data-visualization
Fantasy Basketball
Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm. Capstone Project for Machine Learning Engineer Nanodegree by Udacity.
Stars: ✭ 146 (-68.4%)
Mutual labels: data-science, data-mining, data-visualization
Data Science Resources
👨🏽🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋
Stars: ✭ 171 (-62.99%)
Mutual labels: data-science, data-mining, data-visualization
Model Describer
model-describer : Making machine learning interpretable to humans
Stars: ✭ 22 (-95.24%)
Mutual labels: data-science, data-mining, data-visualization
Courses
Quiz & Assignment of Coursera
Stars: ✭ 454 (-1.73%)
Mutual labels: data-science, natural-language-processing, data-visualization
Deepgraph
Analyze Data with Pandas-based Networks. Documentation:
Stars: ✭ 232 (-49.78%)
Mutual labels: data-science, data-mining, data-visualization
Datascience
Curated list of Python resources for data science.
Stars: ✭ 3,051 (+560.39%)
Mutual labels: data-science, data-mining, data-visualization
Vizuka
Explore high-dimensional datasets and how your algo handles specific regions.
Stars: ✭ 100 (-78.35%)
Mutual labels: data-science, data-mining, data-visualization
Dex
Dex : The Data Explorer -- A data visualization tool written in Java/Groovy/JavaFX capable of powerful ETL and publishing web visualizations.
Stars: ✭ 1,238 (+167.97%)
Mutual labels: data-science, data-mining, data-visualization
Data Science
Collection of useful data science topics along with code and articles
Stars: ✭ 315 (-31.82%)
Mutual labels: data-science, natural-language-processing, data-visualization
Linkedingiveaway
👨🏽🏫You can learn about anything over here. What Giveaways I do and why it's important in today's modern world. Are you interested in Giveaway's?🔋
Stars: ✭ 67 (-85.5%)
Mutual labels: data-science, data-mining, data-visualization
Cookbook 2nd
IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
Stars: ✭ 704 (+52.38%)
Mutual labels: data-science, data-mining, data-visualization
Awesome Datascience
📝 An awesome Data Science repository to learn and apply for real world problems.
Stars: ✭ 17,520 (+3692.21%)
Mutual labels: data-science, data-mining, data-visualization
Amazing Feature Engineering
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Stars: ✭ 218 (-52.81%)
Mutual labels: data-science, data-mining, data-visualization
Orange3
🍊 📊 💡 Orange: Interactive data analysis
Stars: ✭ 3,152 (+582.25%)
Mutual labels: data-science, data-mining, data-visualization
Mastering Social Media Mining with Python
Code repository for Mastering Social Media Mining with Python (July 2016)
Ebook and paperback at Packt Publishing (the publisher)
Ebook and paperback at Amazon.com and Amazon UK
Author's blog post for a bird's eye view on the book
Author profile (with book reviews/ratings) at Goodreads.com
If you've read the book, please consider leaving a review/rating on the above web sites. If you wrote a review (e.g. blog post), please let me know and I'll be happy to include it here.
Discussion Forum for readers on Google Groups: this is a platform for readers to discuss the content of the book.
Setting up the environment
Requirements: Python 3.4+
It's strongly recommended to create a virtual environment, either with virtualenv or with conda. This section describes how to set-up the environment with virtualenv.
Get the book repo:
git clone https://github.com/bonzanini/Book-SocialMediaMiningPython.git
cd Book-SocialMediaMiningPython
Install/upgrade virtualenv (not needed on Python 3.4+):
pip install -U virtualenv
Create the environment:
virtualenv book_env
Activate the environment:
source book_env/bin/activate
Install all the Python dependencies:
pip install -r requirements.txt
Translations
- Russian (Credits: Andre Logunov)
Known Errors and Corrections
List of known errors and corrections
If you find an error that is not listed here, please consider opening a GitHub issue with a short description of the problem.
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].