jbdatascience Goto Github PK

crypto_math

This is the code for "Crypto Math" by Siraj Raval on Youtube

cryptonite

The Official Repository of the Cryptonite Dataset

cryptosolver

A python utility that solves cryptograms

ctrl-detector

ctrl-sum

Resources for the "CTRLsum: Towards Generic Controllable Text Summarization" paper

customer-journey-lda-modeling

Latent Dirichlet Allocation Model pertaining to Click Fox customer journey information

customer_churn_analysis

In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It is also referred as loss of clients or customers. Customer loyalty and customer churn always add up to 100%. If a firm has a 60% of loyalty rate, then their loss or churn rate of customers is 40%. As per 80/20 customer profitability rule, 20% of customers are generating 80% of revenue. So, it is very important to predict the users likely to churn from business relationship and the factors affecting the customer decisions. We are going to show how logistic regression model using R can be used to identify the customer churn in the telecom dataset.

cxr-risk

CXR-Risk: Deep learning to predict long-term mortality from chest radiographs

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

cyclegan-tensorflow-pytorch-simple

CycleGAN Tensorflow PyTorch

d2l-en

Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

dag-eq

Supervised Full DAG Causal Discovery

dag-isr-tutorials

R code and datasets related to the 5 tutorials of ISR paper "Beyond overall treatment effects" by Tafti & Shmueli

damicore-python

damicore-python -- Data-Mining of Code Repositories (DAMICORE) -- is a implementation of the clustering and classification method of data proposed by Sanches, A., Cardoso, J., and Delbem, A. C. B. (2011): Identifying merge-beneficial software kernels for hardware implementation. DOI http://doi.org/10.1109/ReConFig.2011.51

darts

Differentiable architecture search for convolutional and recurrent networks

dash-120million-taxi-app

Explore 120 million taxi trips in real time with Dash and Vaex

dashboards

data-analysis

Data Analysis Using Python

data-analysis-with-r

Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more

data-engineering-disaster-messages

data-mining

Lecture slides and quizzes for Leskovec, Rajaraman, and Ullman's "Mining of Massive Datasets" Stanford course

data-science

Collection of useful data science topics along with code and articles

data-science--cheat-sheet

Cheat Sheets

data-science-at-the-command-line

Data Science at the Command Line

data-science-hub-ses

Roadmap Postieve Gezondheid - verschijningsvormen van zorgwekkende situaties

data-science-ipython-notebooks

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.

data-science-machine

data-science-stacking

Binary classification using the popular Titanic data set. This is interesting as it is my first attempt at stacking classifiers.

dataanalysisbyexample

Medium Blog