1611 Open source projects that are alternatives of or similar to Data-Analyst-Nanodegree

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

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。

📖 每一个伟大的思想和行动都有一个微不足道的开始

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

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

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

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

Precompiled packages for AWS Lambda

Manipulate JSON-like data with NumPy-like idioms.

Create HTML profiling reports from pandas DataFrame objects

📖 [译] 利用 Python 进行数据分析 · 第 2 版

Type System for Data Analysis in Python

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

A guide to getting started with Data Science and ML.

This repository consists of all my Machine Learning Projects.

A constantly updated python machine learning cheatsheet

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

JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.

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.

data wrangling simplicity, complete audit transparency, and at speed

A New, Interactive Approach to Learning Data Visualization

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 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

Identify bias and measure fairness of your data

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

机器学习数据，预测趋势并画图

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

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.

The JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.

Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Visualize and compare datasets, target values and associations, with one line of code.

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

API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

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

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

Curso de Ciência da Computação

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.

No description or website provided.

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

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

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

2.5k code solutions with clear explanation @ onelinerhub.com

Universal 1d/2d data containers with Transformers functionality for data analysis.

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Short programming tutorials pertaining to data analysis.

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

Code examples for Chapter 2 of Data Wrangling with JavaScript

A dynamic microsimulation framework for python

My dataquest project solutions

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

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

Python数据分析入门，数据分析师入门

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

Read/Write pandas DataFrames with Tableau Hyper Extracts

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

Data Science with Python