andrgig Goto Github PK

120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

aifin

Resources for the AI in Finance Workshop at Texas State University (October 2023).

andrgig.github.io

animint

animated and interactive web graphics

ann-benchmark

Benchmarks of artificial neural network library for Spark MLlib

appliedtimeseriesforecastinginpython

Repository with data, starter notebooks, and solution notebooks for my course Applied Time Series Forecasting in Python

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going).

chakin

Simple downloader for pre-trained word vectors

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

content-based-recommendation---good-reads-data

Content Based Recommendation using Good read data

coursera_capstone

For Coursera Applied Data Science Capstone class

covid_vaccine_model

Epidemiological model to predict the spread of the epidemic, taking into account the vaccinations

credit-risk-modeling-using-machine-learning

A study and comparison of Risk Modeling algorithms (Capstone Project)

cs1001.py

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

custsegs

Tools for customer segmentation

cwlp

In this work we are requested to implement a project in order to solve a Capacitated Warehouse Location Problem. A company plans to open n warehouses to satisfy the demands of m customers. Our objective is to minimize our costs of opening new warehouses’ fixed costs and transporting goods from warehouses to the customers with subject to limits of our warehouses and demands of our customers.

d3-tutorials

D3 Tutorials for CSE512 Data Visualization Course at University of Washington

darts

A python library for user-friendly forecasting and anomaly detection on time series.

data-analysis-and-machine-learning-projects

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

data-science-for-management

Data Science for Management course

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_analysis_with_python_and_pandas

The Code belonging to my course "Data Analysis in Python and pandas"

datasciencecourse

This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.

datascientistjobmap

Map of Job Offers built on D3, Python, MySQL

dawp

Derivatives Analytics with Python (Wiley Finance)

deep-learning

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

deep-ttf

Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras