thesushmita's starred repositories
handson-unsupervised-learning
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
oreilly_intro_to_mathematical_optimization
O'Reilly online training "Intro to Mathematical Optimization"
aws-ml-guide
[Video]AWS Certified Machine Learning-Specialty (ML-S) Guide
feature-engineering-book
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
installTensorFlowJetsonTX
Install TensorFlow on the NVIDIA Jetson TX1 or TX2 from the provided wheel files
blockchain-papers
A curated list of academic blockchain-related papers
Learn_Computer_Science_in_5_Months
This is the Curriculum for "Learn Computer Science in 5 Months" By Siraj Raval on Youtube
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
Tiny-Python-3.6-Notebook
This repository contains the text for the Tiny Python 3.6 Notebook.
nvidia-docker
Build and run Docker containers leveraging NVIDIA GPUs
a41124835ed0
Course materials for "Get Started with NLP in Python"
spring-and-spring-boot
Lab solutions for Spring and Spring Boot course
oreilly_reactive_python_for_data
Resources for the O'Reilly online video "Reactive Python for Data"
TensorFlow-LiveLessons
"Deep Learning with TensorFlow" LiveLessons
TextAnalysis.jl
Julia package for text analysis
kafka_training
Basic getting started with Kafka examples
spark_training
Sample Spark Code
hadoop-fundamentals
Code for the Hadoop Fundamentals for Data Scientists course.
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
free-programming-books
:books: Freely available programming books
machineLearning
POC IDS anomaly detection engine built with iPython notebook, matplotlib, pandas, numpy, scikit-learn, d3.js, hyperloglog implementation, PYCON 2013 Intro and Advanced Machine Learning Tutorial Notebooks