spyndexAwesome Spectral Indices in Python.
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neworderA dynamic microsimulation framework for python
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polystoresA library for performing hyperparameter optimization
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Bootcamp pythonBootcamp to learn Python for Machine Learning
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Machine-LearningThis repository contains notebooks that will help you in understanding basic ML algorithms as well as basic numpy excercise. 💥 🌈 🌈
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Machine Learningnotebooks with example for machine learning examples
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visionsType System for Data Analysis in Python
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support-tickets-classificationThis case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en
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valinvestA value investing tool based on Warren Buffett, Joseph Piotroski and Benjamin Graham thoughts
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PyafPyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
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DockerfilesDocker Projects Collection
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SkootA package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn friendly interface in an effort to expedite the modeling process.
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CodeCompilation of R and Python programming codes on the Data Professor YouTube channel.
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ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
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PiclusterA Simplified Docker Swarm or Kubernetes Alternative to Container Scheduling and Orchestration
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Data Science HacksData 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.
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Mexican Government ReportText Mining on the 2019 Mexican Government Report, covering from extracting text from a PDF file to plotting the results.
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PynamicalPynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.
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Baby Names AnalysisData ETL & Analysis on the dataset 'Baby Names from Social Security Card Applications - National Data'.
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SdcIntel® Scalable Dataframe Compiler for Pandas*
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Prince👑 Python factor analysis library (PCA, CA, MCA, MFA, FAMD)
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A-Detector⭐ An anomaly-based intrusion detection system.
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DockerDirectus Docker — The Official Docker Container for the Directus Suite
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SspipeSimple Smart Pipe: python productivity-tool for rapid data manipulation
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Python for mlbrief introduction to Python for machine learning
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Ni PytMateriály k předmětu NI-PYT na FIT ČVUT
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MlkatasA series of self-correcting challenges for practicing your Machine Learning and Deep Learning skills
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100 Pandas Puzzles100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
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Seaborn TutorialThis repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.
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WindroseA Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution
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Gait RecognitionDistance Recognition of a Human Being with Deep CNN's
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Practical Machine Learning With PythonMaster the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
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Data Analysis主要是爬虫与数据分析项目总结,外加建模与机器学习,模型的评估。
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AlphalensPerformance analysis of predictive (alpha) stock factors
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Dat8General Assembly's 2015 Data Science course in Washington, DC
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Ml CheatsheetA constantly updated python machine learning cheatsheet
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DockerfilesAlmost all of these live on dockerhub under jess.
Because you cannot use notary with autobuilds on dockerhub I also build these
continuously on a private registry at r.j3ss.co for public download. (You're
welcome.)
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Stock Price PredictorThis project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
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PyRepository to store sample python programs for python learning
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XarrayN-D labeled arrays and datasets in Python
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Andrew Ng NotesThis is Andrew NG Coursera Handwritten Notes.
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Information-RetrievalInformation Retrieval algorithms developed in python. To follow the blog posts, click on the link:
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NumsharpHigh Performance Computation for N-D Tensors in .NET, similar API to NumPy.
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PbpythonCode, Notebooks and Examples from Practical Business Python
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