996 Open source projects that are alternatives of or similar to Ml Cheatsheet

A value investing tool based on Warren Buffett, Joseph Piotroski and Benjamin Graham thoughts

Astetik takes away the pain from telling visual stories with data on Python

Library packs for google cloud functions

A collection of Jupyter notebooks exploring different datasets.

SLAM - Simultaneous localization and mapping using OpenCV and NumPy.

Geometric operations on polytopes of any dimension

Play around with Pixel in Python

This repository contains notes and projects of Data scientist track from dataquest course work.

Fast zero-overhead bindings between NumPy and Eigen

Final Project of the Udacity AI Programming with Python Nanodegree

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100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

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An implementation of the Fourier Transform using Python

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A library for managing, validating, summarizing, and visualizing data.

My workshop on machine learning using python language to implement different algorithms

Python Tutorials for Data Science

Python related technologies used in work: crawler, data analysis, timing tasks, RPC, page parsing, decorator, built-in functions, Python objects, multi-threading, multi-process, asynchronous, redis, mongodb, mysql, openstack, etc.

Python wrapper for Intel Math Kernel Library (MKL) matrix multiplication

Alvito - An Algorithm Visualization Tool for Python

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SciKIt-learn Pipeline in PAndas

Calculate similarity of sentences & Cluster the result.

numba_scipy extends Numba to make it aware of SciPy

Content from the University of British Columbia's Master of Data Science course DSCI 511.

No description or website provided.

DataHub - Synthetic data library

Computer Vision model creates a live video sketch of frames through real time web cam video. Source code is written in python and model is based on OpenCV. Keras and Numpy have been used to optimize the performance of the model and posterize frames

Simple Smart Pipe: python productivity-tool for rapid data manipulation

This 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

Type System for Data Analysis in Python

A Well Maintained Repository On Quantum Computing Resources [Code+Theory] Updated Regularly During My Time At IBM, Qubit x Qubit And The Coding School's Introduction To Quantum Computing Course '21

Use AI to generate a optimized stock portfolio

机器学习相关教程

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.

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.

A dynamic microsimulation framework for python

Notebooks and libraries for spatial/geo Python explorations

A series of Jupyter notebooks and python files which stream audio from a microphone using pyaudio, then processes it.

Data exploration glue

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

A two-way connector to use regular Python from IronPython in Rhino/Grasshopper, and vice-versa.

Python notes in Turkish.

Daily Stock Forecasts using Machine Learning & Python

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

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A workshop for scientific computing in Python. ( December 2017 )

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Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.

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PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)

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📖 [译] 利用 Python 进行数据分析 · 第 2 版