🚚 Agile Data Science Workflows made easy with Pyspark

Data Preparation for Satellite Machine Learning

An open source book to learn data science, data analysis and machine learning, suitable for all ages!

A New, Interactive Approach to Learning Data Science

🚕 A GUI for dataprep that works over Optimus(Dask/Cudf and PySpark)

OS code of Data-prep project

“Data science” is just about as broad of a term as they come. It may be easiest to describe what it is by listing its more concrete components: Data exploration & analysis. Included here: Pandas; NumPy; SciPy; a helping hand from Python's Standard Library.

ABAP unit testing framework, prepare in Excel, reuse in abap code

A library for creating and curating reproducible pipelines for scientific and industrial machine learning

Data preparation for data science projects.

Foofah: programming-by-example data transformation program synthesizer

Market Mix Modeling for an eCommerce firm to estimate the impact of various marketing levers on sales

Pipeline module for parallel real-time data processing for machine learning models development and production purposes.

SAU Makine Öğrenmesi Eğitim İçerikleri

general-purpose fast, stateless, and deterministic feature extractor written in golang for use in machine learning

The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. The classification goal is to predict if the client will subscribe a term deposit.

BIOBOT: A Fall Detection System (FDS) using Artificial Intelligence

Developing self learning robot

Data preprocessing is a data mining technique that involves transforming raw data into an understandable format.

Improve lung cancer detection using deep learning

Image classification svm with simple neural network.

🗂 Simple and convenient dataset generation at the press of a key

A utility for defining metadata for data types and formats.

Deep Learning in Medical Sciences to solve tricky problems related to both relational and non-relational data alongside techniques of Computer Vision.

Demo on performing exploratory data analysis (EDA) on train service disruptions based on scrapped (user generated contents) tweets from the train operator's (SMRT) twitter account

Four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform

Pytorch notes and projects

Labeling tool for Image Classification tasks.

Data analysis with pandas, numpy, scikit-learn

Python Machine learning guide