8227 Open source projects that are alternatives of or similar to My Journey In The Data Science World

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

General Assembly's 2015 Data Science course in Washington, DC

repo for code published on pythondata.com

Quiz & Assignment of Coursera

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

Stock for Deep Learning and Machine Learning

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.

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

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Resources for weekly Data Science Lunch & Learns

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Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

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

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

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Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

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。

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

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.

A Portfolio of my Data Science Projects

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

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

Visualizer for pandas data structures

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Collection of useful data science topics along with code and articles

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.

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

Easy to use Python library of customized functions for cleaning and analyzing data.

open source for wechat-official-account (ID: PyDataLab)

Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data

🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

Automate Data Exploration and Treatment

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

Bayesian Analysis with Python (Second Edition)

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.

What Twitter reveals about the differences between cities and the monoculture of the Bay Area

PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍

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Practical Data Science with Ruby based tools.

Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

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Reproducible Data Science at Scale!

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

OpenRefine is a free, open source power tool for working with messy data and improving it

深度学习在推荐系统中的应用及论文小结。

Support content for my blog

DeltaPy - Tabular Data Augmentation (by @firmai)

Quantified Self Personal Data Aggregator and Data Analysis

Automatic extraction of relevant features from time series:

Probably the best curated list of data science software in Python.

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

model-describer : Making machine learning interpretable to humans