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repo for code published on pythondata.com

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Quiz & Assignment of Coursera

A Python library for easy data analysis, visualization, exploration and modeling

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

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.

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.

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Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

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A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

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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.

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

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

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

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Collection of useful data science topics along with code and articles

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

Statistical Interactive Visualization with pandas+Jupyter integration on top of Echarts.

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

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

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

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Achieve your marketing goals with the data analytics power of Python

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Lending Club Loan data analysis

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Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm. Capstone Project for Machine Learning Engineer Nanodegree by Udacity.

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

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

Machine learning fundamentals lesson in interactive notebooks

YouTube Like Count Predictions using Machine Learning

SF Brigade's Data Science Working Group.

Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

Materials for GWU DNSC 6279 and DNSC 6290.

edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab

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

Dataset format for AI. Build, manage, & visualize datasets for deep learning. Stream data real-time to PyTorch/TensorFlow & version-control it. https://activeloop.ai

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football (soccer) datasets

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🍧 A repository that contains courses I have taken on DataCamp

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Quantified Self Personal Data Aggregator and Data Analysis