1425 Open source projects that are alternatives of or similar to Pyda 2e Zh

Type System for Data Analysis in Python

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。

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.

Open Machine Learning Course

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

📖 每一个伟大的思想和行动都有一个微不足道的开始

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

Kai Sheng Teh - Udacity Data Analyst Nanodegree

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.

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

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

Manipulate JSON-like data with NumPy-like idioms.

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

A guide to getting started with Data Science and ML.

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

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

Awesome Spectral Indices in Python.

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

Vinum is a SQL processor for Python, designed for data analysis workflows and in-memory analytics.

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

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.

Data Science with Python

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

机器学习数据，预测趋势并画图

JUN - python pandas, plotly, seaborn support & dataframes manipulation over erlang

My dataquest project solutions

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

Explorando aspectos fundamentais da matemática com Python e Jupyter

A New, Interactive Approach to Learning Data Visualization

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

No description or website provided.

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

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

A collection of Jupyter notebooks exploring different datasets.

Library packs for google cloud functions

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

Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.

No description or website provided.

A dynamic microsimulation framework for python

Este repositório está destinado ao processo de aprendizagem da biblioteca Pandas.

Python Tutorials for Data Science

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

Use AI to generate a optimized stock portfolio

Identify bias and measure fairness of your data

Issue handling for Evidence-based Software Engineering: based on the publicly available data

Another library for defensive data analysis.

Zeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark

C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types, continuous memory storage, and no pointers are involved

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

《利用Python进行数据分析·第2版》

An extension to pandas dataframes describe function.

Privacy-Preserving Data Analysis using Pandas

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

A Pandas Styler class for making beautiful tables

Table analysis in Tkinter using pandas DataFrames.

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.

利用Python进行数据分析 第二版 (2017) 中文翻译笔记

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

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

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.