6645 Open source projects that are alternatives of or similar to Kagglestruggle

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

A series of self-correcting challenges for practicing your Machine Learning and Deep Learning skills

Code for polyaxon tutorials and examples

Learn to build a basic machine learning model from scratch with this repo and tutorial series.

《python数据分析与挖掘实战》项目实践及拓展

Graph-Based Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, RDFlib, pySHACL, RAPIDS, NetworkX, iGraph, PyVis, pslpython, pyarrow, etc.

Jupyter notebooks and datasets for the interesting pandas/python/data science video series.

Exercises for hierarchical clustering with Python 3 and scipy as Jupyter Notebooks

Tutorial on Using Pandas

This repository tracks the spread of the novel coronavirus, also known as SARS-CoV-2. It is a contagious respiratory virus that first started in Wuhan in December 2019. On 2/11/2020, the disease is officially named COVID-19 by the World Health Organization.

A collection of Machine Learning algorithms written from sctrach.

Materials for the course of machine learning at Imperial College organized by Yandex SDA

Computer vision sabbatical study materials

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

Get, Concatenate and Process you location history from Google Maps TimeLine

A collection of all projects pertaining to different layers in the SDC software stack

Twelve Data Python Client - Financial data APIs & WebSockets

This repository contains data and code used to get and clean data from https://github.com/CSSEGISandData/COVID-19 and https://www.worldometers.info/coronavirus/

Plots from the book "Storytelling with data" implementation using Python and matplotlib

A python library for decision tree visualization and model interpretation.

A site that displays up to date COVID-19 stats, powered by fastpages.

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.

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

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

Python机器学习，机器学习入门首选。

Jupyter notebook and datasets from the pandas Q&A video series

Dive into Machine Learning with Python Jupyter notebook and scikit-learn! First posted in 2016, maintained as of 2021. Pull requests welcome.

Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators

🤖⚡️ scikit-learn tips

Python based framework to retreive Global Database of Events, Language, and Tone (GDELT) version 1.0 and version 2.0 data.

Jupyter Notebook extension leveraging pandas DataFrames by integrating DataTables and ChartJS.

Collection of jupyter notebooks

Machine learning with scikit-learn tutorial at PyData Chicago 2016

Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning

IPython widgets, interactive plots, interactive machine learning

一个获取知乎用户主页信息的多线程Python爬虫程序。

Python Cheat Sheet NumPy, Matplotlib

Python for chemoinformatics

The "Python Machine Learning (1st edition)" book code repository and info resource

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

A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects

A constantly updated python machine learning cheatsheet

Predicting Forex Future Price with Machine Learning

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/

Jupyter Notebook exercises for k-means clustering with Python 3 and scikit-learn

🐍 Learn Python and Pandas from the ground up

Performance analysis of predictive (alpha) stock factors

HandySpark - bringing pandas-like capabilities to Spark dataframes

Repository to store sample python programs for python learning

QuantumBlack Matplotlib styles

Technical Analysis Library using Pandas and Numpy

Functionalities in Excel translated to Python

The "Python Machine Learning (3rd edition)" book code repository

This repository provides everything you need to get started with Python for (social science) research.

Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering

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

Machine Learning Tutorials in Python

a sklearn wrapper for Google's BERT model