MattiaCinelli
Data Scientist, with experience in machine learning, computer science, statistics, mathematics, deep learning, data visualization, in different STEM discipline
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MattiaCinelli's Stars
EbookFoundation/free-programming-books
:books: Freely available programming books
vinta/awesome-python
An opinionated list of awesome Python frameworks, libraries, software and resources.
github/gitignore
A collection of useful .gitignore templates
gothinkster/realworld
"The mother of all demo apps" — Exemplary fullstack Medium.com clone powered by React, Angular, Node, Django, and many more
florinpop17/app-ideas
A Collection of application ideas which can be used to improve your coding skills.
elsewhencode/project-guidelines
A set of best practices for JavaScript projects
FredrikNoren/ungit
The easiest way to use git. On any platform. Anywhere.
alexeygrigorev/data-science-interviews
Data science interview questions and answers
matplotlib/cheatsheets
Official Matplotlib cheat sheets
lauragift21/awesome-learning-resources
🔥 Awesome list of resources on Web Development.
kojino/120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
priya-dwivedi/Deep-Learning
dwyl/repo-badges
:star: Use repo badges (build passing, coverage, etc) in your readme/markdown file to signal code quality in a project.
sfu-db/dataprep
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
iNeuronai/interview-question-data-science-
scikit-learn-contrib/boruta_py
Python implementations of the Boruta all-relevant feature selection method.
LearnedVector/A-Hackers-AI-Voice-Assistant
A hackers AI voice assistant, built using Python and PyTorch.
llSourcell/Machine_Learning_Journey
This is the Curriculum for "Machine Learning Journey" By Siraj Raval on Youtube
scikit-multilearn/scikit-multilearn
A scikit-learn based module for multi-label et. al. classification
pplonski/my_ml_service
My Machine Learning Web Service
llSourcell/Data_Science_Interview_Guide
These are the tips for "5 Steps to Pass Data Science Interviews" By Siraj Raval on Youtube
MattiaCinelli/fromRtoLatex
Every report looks better in LaTeX!
peanutsee/Outlier-Detection-Using-IQR