pgnepal Goto Github PK

counterfactual-cv

(ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’

coursera_exdata-10_2

Coursera John Hopkins Data Science Class 4

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

cs273a

UCI class COMSCI 273A machine learning

cs7646

Machine Learning For Trading

cs7646-1

custom-spark-pipeline

Custom pyspark transformer, estimator (Imputer for Categorical Features with mode, Vector Disassembler etc.)

data-algorithms-book

MapReduce and Spark Source Code and Scripts for Data Algorithms Book

data-analysis-and-machine-learning-projects

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

data-engineering-101

Introduction to Data Engineering workshop, learn to build a data pipeline with Luigi!

data-science-design-manual-notebooks

Figure notebooks for "The Data Science Design Manual" (http://www.data-manual.com/)

data-science-from-scratch

code for Data Science From Scratch book

data-science-ipython-notebooks

Recently updated with 50 new 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.

databricks-apache-spark-2x-certified-developer

Databricks - Apache Spark™ - 2X Certified Developer

datasci_course_materials

Public repository for course materials for the Spring 2013 session of Introduction to Data Science, an online coursera course.

datascience-sp14

Repository for data science course Spring 14

datascience_demo

datastructureandalgorithmicthinkingwithpython

Data Structure And Algorithmic Thinking With Python

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-illustrated

Deep Learning Illustrated (2019)

deep-reinforcement-learning-for-automated-stock-trading-ensemble-strategy-icaif-2020

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020.

deep-residual-networks

Deep Residual Learning for Image Recognition

deepframeworks

Evaluation of Deep Learning Frameworks

deeplearning-sirajologychallenges

Codes for weekly challenges on Deep Learning by Siraj

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deepreinforcementlearninginaction

Code from the Deep Reinforcement Learning in Action book from Manning, Inc

deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

deeptesla

End-to-End Learning from Tesla Autopilot Driving Data

descriptors

A collection of descriptors for validating input data.