Subhraj07

Apache-Spark-Hands-On

Educational notes,Hands on problems w/ solutions & interview questions for hadoop ecosystem

DeepReinforcementLearning

A replica of the AlphaZero methodology for deep reinforcement learning in Python

learn-by-examples

Real-world Spark pipelines examples

pandas-cookbook

Recipes for using Python's pandas library

pandas-videos

Jupyter notebook and datasets from the pandas Q&A video series

pyspark

pyspark-tutorial

PySpark-Tutorial provides basic algorithms using PySpark

Python-1

My Python Examples

python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

sklearn_pandas_tutorial

EuroScipy 2014 tutorial: Introduction to predictive analytics with pandas and scikit-learn

Subhraj07/DeepReinforcementLearning

A replica of the AlphaZero methodology for deep reinforcement learning in Python

Subhraj07/allennlp-as-a-library-example

Subhraj07/awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

Subhraj07/awesome-nifi

A list of useful Apache NiFi resources, processor bundles and tools

Subhraj07/BasketballStatsCDSW

CDSW-based repo for BasketballStats

Subhraj07/big-data-mapreduce-course

Big Data, MapReduce, Spark, PySpark, Java @ Santa Clara University, SPRING 2017

Subhraj07/bigdata-notebook

Subhraj07/cloudxlab

Subhraj07/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.

Subhraj07/data-tutorials

Hortonworks tutorials

Subhraj07/deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Subhraj07/Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Subhraj07/docker-python-jupyter

Docker images to use Machine Learning (ML) in Python Jupyter notebooks in a minute

Subhraj07/intro2stats

Introduction to Statistics using Python

Subhraj07/introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

Subhraj07/learning-apache-spark

This repository contains apache spark tutorials implemented with pypsark. For some machine learning methods, there will be comparisons between pyspark and R results.

Subhraj07/machine-learning-project-walkthrough

An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!

Subhraj07/mmlspark

Microsoft Machine Learning for Apache Spark

Subhraj07/nifi-scripting-samples

Sample scripts for use with Apache NiFi's ExecuteScript processor

Subhraj07/notes

Notes on data science, machine learning, artificial intelligence, history, and social science.

Subhraj07/OpenCV2-Python-Tutorials

This repo contains tutorials on OpenCV-Python library using new cv2 interface

Subhraj07/pandas-profiling

Create HTML profiling reports from pandas DataFrame objects

Subhraj07/Python

Subhraj07/pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

Subhraj07/scientific-python-lectures-1

Lectures on scientific computing with python, as IPython notebooks.

Subhraj07/stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

Subhraj07/Teaching-Machines-Reading-Comprehension

CU Boulder | 5622-Project

Subhraj07/Tensorflow-Project-Template

A best practice for tensorflow project template architecture.

Subhraj07/zeppelin-notebooks

Gallery of Apache Zeppelin notebooks

Subhraj07/Zeppelin_Examples