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course-notes

creating-customer-segments

Unsupervised learning for market segmentation

credit-card-fraudlent

cryptos

Pure Python from-scratch zero-dependency implementation of Bitcoin for educational purposes

cs1001.py

Recitation notebooks for Extended Introduction to Computer Science with Python as Tel-Aviv University

cs228-material

Teaching materials for the probabilistic graphical models class at Stanford

cs229-project

Machine learning project to attempt to predict Medicare costs based on non-traditional metrics

customer-segmentation

An example of clustering applied to finding customer segments.

customer-segmentation-python

Customer analysis and Data driven ideas

dat210x

Programming with Python for Data Sxience Microsoft

data

Open Data Sources

data-analysis-and-machine-learning-projects

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

data-analytics-projects

:mag_right: Data analysis with real world data sets using Python :mag:

data-science-for-beginners

10 Weeks, 20 Lessons, Data Science for All!

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_insights_summit

This repository contains the course materials for the tutorial "Supercharge Your data Analysis with R"

datascience

Crowd Course Data Science course project

deep_learning_ai

dependency-hearsts-patterns

A tool to pre-process a textual resources and apply Dependency Hearst's Patterns (DHP) to extract Hypernym (is-a) relations. DHP is a new formulation of the popular lexico-syntactic Hearst's Patterns.

distributional-semantics-in-r

Tutorial on text-mining and distributional semantics with {tm}, {openNLP}, and {topicmodels} in R. Based on my BelgradeR Meetup - Methods of Distributional Semantics in R - 11/30/2016, Startit Center, Savska 5, Belgrade.

edu

Data Science Education Programs

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

eseur-code-data

Code and data used to create the examples in "Empirical Software Engineering using R"

examples-pca-tsne

Some examples of using PCA and t-SNE for dimensionality reduction in Python and R

exploratory_computing_with_python

fabric-samples

Read-only mirror of https://gerrit.hyperledger.org/r/#/admin/projects/fabric-samples

fabric-tools

fast-weights

Implementation of Using Fast Weights to Attend to the Recent Past

feature-selection-for-machine-learning

Methods with examples for Feature Selection during Pre-processing in Machine Learning.

flask

The Python micro framework for building web applications.