6687 Open source projects that are alternatives of or similar to Sigma_coding_youtube

My Answer to 120 Data Science Interview Questions

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Curso de Data Science em Português

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Probabilistic reasoning and statistical analysis in TensorFlow

Code for Machine Learning for Algorithmic Trading, 2nd edition.

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Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

A simple probabilistic programming language.

food image to recipe with deep convolutional neural networks.

¡Camino a una educación autodidacta en Ciencia de Datos!

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Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

Compilation of R and Python programming codes on the Data Professor YouTube channel.

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An open-source, low-code machine learning library in Python

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Python for Data Science (Seminar Course at UC Berkeley; AY 250)

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

Interactive reports to analyze machine learning models during validation or production monitoring.

Data science portfolio

阿水的数据竞赛开源分支

apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Collection of useful data science topics along with code and articles

The Go kernel for Jupyter notebooks and nteract.

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A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

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useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html

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Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

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Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

The 3rd edition of course.fast.ai

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Human-explainable AI.

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Efficient Learning of Augmentation Policy Schedules

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)