869 Open source projects that are alternatives of or similar to Fashion Recommendation

Functionalities in Excel translated to Python

This is Andrew NG Coursera Handwritten Notes.

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

《利用Python进行数据分析·第2版》

N-D labeled arrays and datasets in Python

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.

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

Alpine Container for Machine Learning

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

Materiály k předmětu NI-PYT na FIT ČVUT

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

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

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.

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

📖 [译] 利用 Python 进行数据分析 · 第 2 版

High Performance Computation for N-D Tensors in .NET, similar API to NumPy.

Precompiled packages for AWS Lambda

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

Data-frames & arrays on Clojure

Credit Risk analysis by using Python and ML

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

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

Python Cheat Sheet NumPy, Matplotlib

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。

Use AI to generate a optimized stock portfolio

Performance analysis of predictive (alpha) stock factors

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

Technical Analysis Library using Pandas and Numpy

A New, Interactive Approach to Learning Data Visualization

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

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

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

Explorando aspectos fundamentais da matemática com Python e Jupyter

Intel® Scalable Dataframe Compiler for Pandas*

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

Repository to store sample python programs for python learning

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

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

Open Machine Learning Course

📚 Various cheatsheets in PDF

Type System for Data Analysis in Python

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

Parallel computing with task scheduling

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

Distance Recognition of a Human Being with Deep CNN's

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

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

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Курс "Введение в машинное обучение" (ВМК, МГУ имени М.В. Ломоносова)

A constantly updated python machine learning cheatsheet

This repository consists of all my Machine Learning Projects.

공공데이터 분석

Achieve your marketing goals with the data analytics power of Python

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

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

For extensive instructor led learning

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.

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

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.