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ad-papers

Papers on Computational Advertising

anomaly-detection

anomalydetection

Anomaly Detection with R

brain-tumor-detection-and-segmentation-using-deep-learning

This repo includes Glioma Segmentation with Mask R-CNN and U-Net.

cancer_nn

Skin Lesion Analysis Towards Melanoma Detection

car-damage-assessment

Computer Vision and Deep Learning techniques to accurately classify vehicle damage to facilitate claims triage by training convolution neural networks

causalimpact

Python Causal Impact port of Google's Algorithm.

causalimpact-1

Python port of CausalImpact R library

causalml

Uplift modeling and causal inference with machine learning algorithms

datacamp-courses

Some of my notebooks of Datacamp courses.

datacamp-projects

Notebooks of Datacamp projects

datacamp_solutions_python

My solutions to DataCamp projects (now only Python)

datasharing

The Leek group guide to data sharing

google-trends-api

An API layer on top of google trends

image-recognition-with-deep-learning

Image Classifier using Transfer Learning

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

kaggle--sales-prediction-for-time-series

Predict the sales of a shop/item combination given time-series data consisting of daily sales of over 22k items across 60 shops given data from a Russian software firms - 1C Company.

kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

lkpy

Python recommendation toolkit

lofo-importance

Leave One Feature Out Importance

machine-learning-notebooks

Assorted exercises and proof-of-concepts to understand and study machine learning and statistical learning theory

marketmatching

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

matplotlib-cheatsheet

Matplotlib 3.1 cheat sheet.

melanoma_segmentation

Segmentation of skin cancers on ISIC 2017 challenge dataset.

meteostat-python

Access and analyze historical weather and climate data with Python.

ml-dl-scripts

The repository provides usefull python scripts for ML and data analysis

naive-bees-classifier

Competition results for the Naive Bees Classifier competition https://www.drivendata.org/competitions/8/

pbpython

Code, Notebooks and Examples from Practical Business Python

pratik-derin-ogrenme-uygulamalari

Çeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.