CodeCompilation of R and Python programming codes on the Data Professor YouTube channel.
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Business Machine LearningA curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)
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Islr PythonAn Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
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Or Pandas【运筹OR帷幄|数据科学】pandas教程系列电子书
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Oreilly Intro To Predictive ClvRepo that contains the supporting material for O'Reilly Webinar "An Intro to Predictive Modeling for Customer Lifetime Value" on Feb 28, 2017
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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?🔋
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Statistical-Learning-using-RThis is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.
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Industry Machine LearningA curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
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Ai Series📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战,数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记
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VirgilioVirgilio is developed and maintained by these awesome people.
You can email us virgilio.datascience (at) gmail.com or join the Discord chat.
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100 Days Of Ml CodeA day to day plan for this challenge. Covers both theoritical and practical aspects
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PbpythonCode, Notebooks and Examples from Practical Business Python
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Ocaml JupyterAn OCaml kernel for Jupyter (IPython) notebook
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MelusineMelusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".
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Data science blogsA repository to keep track of all the code that I end up writing for my blog posts.
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OctopodTrain multi-task image, text, or ensemble (image + text) models
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Deep Ml MeetupsA central repository for all my projects
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Ml ExamplesExamples of machine learning, with an emphasis on deep learning.
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Quantecon.notebooksJupyter notebooks contributed by QuantEcon developers, users and the community
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Reservoir EngineeringPython worked examples and problems from Reservoir Engineering textbooks (Brian Towler SPE Textbook Vol. 8, etc.)
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TsmoothieA python library for time-series smoothing and outlier detection in a vectorized way.
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WorkshopsA few exercises for use at events.
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Python For Data AnalyticsThis course will teach you only the relevant topics in Python for starting your career in Data Analytics. There are also a bunch of tips and tricks throughout for resume writing, solving case studies, interviews etc. The idea is to help you land a job in analytics and not just teach you Python.
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ExperimentsSmall experiments with attached code
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Pydata Book利用Python进行数据分析(https://read.douban.com/reader/ebook/15249337/)源代码整理版
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Adsabs Dev ApiDeveloper API service description and example client code
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Azure WorkshopCollection of resources related to predictive modeling, Azure ML Studio, and the Cortana Intelligence suite.
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SpherefaceImplementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.
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AxAdaptive Experimentation Platform
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IntelaiworkshopDocumentation and sample codes for Intel AI Workshop
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Deeplearning.aiMaterials from deeplearning.ai course on Coursera
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Stock Market Analysis And PredictionStock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.
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Ewc.pytorchAn implementation of EWC with PyTorch
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Pymc3 vs pystanPersonal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation/30/ video: https://www.youtube.com/watch?v=Jb9eklfbDyg
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Cs231n Convolutional Neural Networks SolutionsAssignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.
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Fcc nn research(somewhat) cleaned-up notebooks used in researching public comments for FCC Proceeding 17-108 (Net Neutrality Repeal)
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Wifi activity recognitionCode for IEEE Communication Magazine (A Survey on Behaviour Recognition Using WiFi Channle State Information)
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DeepscmRepository for Deep Structural Causal Models for Tractable Counterfactual Inference
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