878 Open source projects that are alternatives of or similar to jun

Open Machine Learning Course

Data analysis and visualization with PyData ecosystem: Pandas, Matplotlib Numpy, and Seaborn

🍊 📊 💡 Orange: Interactive data analysis

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

Data Analysis Using Python: A Beginner’s Guide Featuring NYC Open Data

Small Docker image with Python Machine Learning tools (~180MB) https://hub.docker.com/r/frolvlad/alpine-python-machinelearning/

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。

도서 "[개정판] 파이썬 라이브러리를 활용한 머신 러닝"의 주피터 노트북과 코드입니다.

Repository for the projects needed to complete the Data Analyst Nanodegree.

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

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

A complete docker package for deploying django which is easy to understand and deploy anywhere.

Parallel computing with task scheduling

Explorando aspectos fundamentais da matemática com Python e Jupyter

A New, Interactive Approach to Learning Data Visualization

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

Data ETL & Analysis on the global and Mexican datasets of the COVID-19 pandemic.

Credit Risk analysis by using Python and ML

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

A constantly updated python machine learning cheatsheet

I have been deeply interested in algorithmic trading and systematic trading algorithms. This Repository contains the code of what I have learnt on the way. It starts form some basic simple statistics and will lead up to complex machine learning algorithms.

机器学习数据，预测趋势并画图

Algorithmic trading using machine learning.

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

Data Visualizations is emerging as one of the most essential skills in almost all of the IT and Non IT Background Sectors and Jobs. Using Data Visualizations to make wiser decisions which could land the Business to make bigger profits and understand the root cause and behavioral analysis of people and customers associated to it. In this Reposito…

Simplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices

A dynamic microsimulation framework for python

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

Nested Sampling post-processing and plotting

Engezny is a python package that quickly generates all possible charts from your dataframe and saves them for you, and engezny is only supporting now uni-parameter visualization using the pie, bar and barh visualizations.

DatScan is an initiative to build an open-source CMS that will have the capability to solve any problem using data Analysis just with the help of various modules and a vast standardized module library

Python Monthly Returns Heatmap (DEPRECATED! Use QuantStats instead)

Bootcamp to learn Python for Machine Learning

A scalable general purpose micro-framework for defining dataflows. You can use it to create dataframes, numpy matrices, python objects, ML models, etc.

This repository contains notebooks that will help you in understanding basic ML algorithms as well as basic numpy excercise. 💥 🌈 🌈

A guide to getting started with Data Science and ML.

An explicit Python PV system IV & PV curve trace calculator which can also calculate mismatch.

An introductory workshop on pandas with notebooks and exercises for following along.

Audio fingerprinting and recognition

2.5k code solutions with clear explanation @ onelinerhub.com

Alvito - An Algorithm Visualization Tool for Python

Python Tutorials for Data Science

A collection of analytics methods implemented with Python on Google Colab

Skin export / import tools for Autodesk Maya

SADDLE: Scala Data Library

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

Data Science with Python

Easy SimAuto (ESA): An easy-to-use Power System Analysis Automation Environment atop PowerWorld Simulator Automation Server (SimAuto)

A jupyter notebook having all most frequent used code snippet for daily data scienceoperations

No description or website provided.

These are the projects I did on my Udacity Deep Learning Nanodegree 🌟 💻 💻. 💥 🌈

Information Retrieval algorithms developed in python. To follow the blog posts, click on the link:

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

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

demonstrating use of convolution neural networks to detect objects in a video

Scientific Computing for Chemists text for teaching basic computing skills to chemistry students using Python, Jupyter notebooks, and the SciPy stack. This text makes use of a variety of packages including NumPy, SciPy, matplotlib, pandas, seaborn, NMRglue, SymPy, scikit-image, and scikit-learn.

Awesome Spectral Indices in Python.

Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.