muhammadrayhan's Stars
Tushika25/Microsoft-Udacity-ML-scholarship
Just give your best shot!
anthonydb/practical-sql
Code and Data for the First Edition of "Practical SQL" by Anthony DeBarros, published by No Starch Press (2018).
dabeaz-course/practical-python
Practical Python Programming (course by @dabeaz)
mesutpiskin/id-card-detector
:credit_card: Detecting the National Identification Cards with Deep Learning (Faster R-CNN)
microsoft/nlp-recipes
Natural Language Processing Best Practices & Examples
PacktWorkshops/The-SQL-Workshop
A Practical, No-Nonsense Introduction to SQL
REMitchell/python-scraping
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
donnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
lazyprogrammer/machine_learning_examples
A collection of machine learning examples and tutorials.
CSSEGISandData/COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
fastai/fastbook
The fastai book, published as Jupyter Notebooks
FavioVazquez/ds-cheatsheets
List of Data Science Cheatsheets to rule the world
datascienceid/machine-learning-resources
A curated list of awesome machine learning frameworks, libraries, courses, books and many more.
rhiever/Data-Analysis-and-Machine-Learning-Projects
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
angelddaz/pizza_delivery
This repos will be for my pizza delivery data analysis and statistics. This is where I tackle simple questions to learn more about statistics and Python with a dataset I collected and know very well - my pizza delivery data!
gitganeshnethi/EDA
Exploratory Data Analysis
plaban1981/NLP-with-Python
meiruv/Women-In-Parliament
In this project, I dug in a dataset from UN Data which listed the amount (in percentage) of seats taken by women per each country in the world during the years 1990,2000,2005,2010 and 20015-2019 and in each continent during the years 2000, 2005, 2010 and 2015-2019. The main goals were to enhance my EDA and visualization skills and get some experience using matplotlib and seaborn, as well as learn where the world stands regarding women's representation in parliament.
modin-project/modin
Modin: Scale your Pandas workflows by changing a single line of code
keon/awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
rasbt/python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
nkartik94/Multi-Label-Text-Classification
Kaggle Toxic Comments Challenge
voila-dashboards/voila
VoilĂ turns Jupyter notebooks into standalone web applications
luka1199/geo-heatmap
:world_map: Generate an interactive geo heatmap from your Google location data
QuantumIIIV/SharpestMind
nickefy/data-visualization-with-plotly
basic guide to data visualization with plotly
krishnaik06/Complete-Feature-Engineering
dshahid380/Data-analysis-with-pandas
Welcome to data analysis with pandas tutorial. In this tutorial i have covered all the topic of pandas and tried to explain with lesser number of words.This tutorial is totally written in jupyter notebook so that anyone can clone and run it.
gonzaferreiro/Dealing_with_class_imbalance
In this repository you'll find a theoretical introduction to the problem of class imbalance, as well as a notebook with examples about how to use some of the algorithms mentioned in the theoretical guide.
Currie32/Text-Summarization-with-Amazon-Reviews
A seq2seq model that can generate summaries from fine food reviews on Amazon.