6703 Open source projects that are alternatives of or similar to Windrose

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

공공데이터 분석

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Achieve your marketing goals with the data analytics power of Python

This repository consists of all my Machine Learning Projects.

Alpine Container for Machine Learning

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。

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.

Explorando aspectos fundamentais da matemática com Python e Jupyter

Simple plotting library that wraps Matplotlib and integrated with DataFrames

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

No description or website provided.

A constantly updated python machine learning cheatsheet

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

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

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

Performance analysis of predictive (alpha) stock factors

Python notes in Turkish.

Notebooks and libraries for spatial/geo Python explorations

《利用Python进行数据分析·第2版》

pytablewriter is a Python library to write a table in various formats: CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.

📚 Various cheatsheets in PDF

Association Rule Mining from Spatial Data for Crime Analysis

Technical Analysis Library using Pandas and Numpy

Functionalities in Excel translated to Python

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

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.

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

This is Andrew NG Coursera Handwritten Notes.

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

A New, Interactive Approach to Learning Data Visualization

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

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

Open Machine Learning Course

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

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.

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

Credit Risk analysis by using Python and ML

This 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.

Using Project Jupyter for data science.

中文 Python 笔记

Data ETL & Analysis on the dataset 'Baby Names from Social Security Card Applications - National Data'.

Text Mining on the 2019 Mexican Government Report, covering from extracting text from a PDF file to plotting the results.

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

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

Mypy stubs, i.e., type information, for numpy, pandas and matplotlib

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Numerical & Scientific Computing with Python Tutorial

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

For extensive instructor led learning

📓 deepleaning and cv notes.

Kaggle Struggle

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.

notebooks with example for machine learning examples

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

Repository to store sample python programs for python learning