6874 Open source projects that are alternatives of or similar to Storytelling With Data

Data science portfolio

📝 A compilation of everything that I learn; Computer Science, Software Development, Engineering, Math, and Coding in General. Read the rendered results here ->

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

Collection of useful data science topics along with code and articles

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

A collection of demos showcasing automated feature engineering and machine learning in diverse use cases

Machine learning course materials.

Production Data Science: a workflow for collaborative data science aimed at production

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

자연어 처리와 관련한 여러 튜토리얼 저장소

H2O.ai Machine Learning Interpretability Resources

The hands-on NLTK tutorial for NLP in Python

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

Extração de dados da API do CartolaFC, análise exploratória dos dados e modelos preditivos em R e Python - 2014-20. [EN] Data munging, analysis and modeling of CartolaFC - the most popular fantasy football game in Brazil and maybe in the world. Data cover years 2014-19.

Efficient Learning of Augmentation Policy Schedules

Quiz & Assignment of Coursera

Simple tutorials for building neural networks with TensorFlow Eager mode.

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.

Ways of doing Data Science Engineering and Machine Learning in R and Python

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

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

CatBoost tutorials repository

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

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

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

📘 The interactive computing suite for you! ✨

All course materials for the Zero to Mastery Machine Learning and Data Science course.

Ipython notebooks for math and finance tutorials

My Answer to 120 Data Science Interview Questions

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

The Hitchhiker's Guide to Data Science for Social Good

Support content for my blog

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

The "Python Machine Learning (2nd edition)" book code repository and info resource

Modern Data Science

Feature exploration for supervised learning

Human Activity Recognition (HAR) with Keras and CoreML

Repository to help you get started with computer vision

PyMC3 educational resources

Codes and dashboards for 4th place solution for Kaggle's Home Credit Default Risk competition

Association Rule Mining from Spatial Data for Crime Analysis

Create HTML profiling reports from pandas DataFrame objects

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Tutorials for learning OpenCV in Python from Scratch

A collection of notebooks of my Machine Learning class written in python 3

🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark

Python training for business analysts and traders

DL course co-developed by YSDA, HSE and Skoltech

My solution to the book A Collection of Data Science Take-Home Challenges

Resources for weekly Data Science Lunch & Learns

Python Teaching, Seminars for 2nd year students of School of Linguistics NRU HSE

A workshop on data privacy methods for data scientists.

open source for wechat-official-account (ID: PyDataLab)

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

An ongoing list of pandas quirks

Dockerfile of Jupyter (IPython notebook) and IOCaml (OCaml kernel) with libraries for data science and machine learning

Talks & Workshops by the CODAIT team

I will update this repository to learn Machine learning with python with statistics content and materials