HIMAGB's repositories
amazon-sagemaker-healthcare-fraud-detection
Healthcare fraud detection using PCA based anomaly detection on multivariate data.
Spark-The-Definitive-Guide
Spark: The Definitive Guide's Code Repository
CloudConstableThreatDetection-1
NLP Threat Detection for Cloud Constable
CloudConstableThreatDetection
NLP Threat Detection for Cloud Constable
aws-deepracer-workshops
DeepRacer workshop content for Re:Invent 2018
aws-ml-data-lake-workshop
As customers move from building data lakes and analytics on AWS to building machine learning solutions, one of their biggest challenges is getting visibility into their data for feature engineering and data format conversions for using AWS SageMaker. In this workshop, we demonstrate best practices and build data pipelines for training data using Amazon Kinesis Data Firehose, AWS Glue, and Amazon SageMaker, and then we use Amazon SageMaker for inference.
ggplot2-book
The ggplot2 book
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
DeadSimpleSpeechRecognizer
CNN based Minimal model for recognizing word
computefest2018-pandas
https://github.com/Harvard-IACS/computefest2018-pandas
computefest2018-sklearn
https://github.com/Harvard-IACS/computefest2018-sklearn
CS109B_MovieGenre_Prediction
This project was performed as part of Harvard CS109b - Advanced Data Science course. The objective is to predict movie genre using Deep Learning
DataFestTextAnalysisPython
DataFest 2017 workshop on Text Analysis with Python
computefest2017-pythonml
Python and Machine Learning Workshop for Computefest 2017
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
cfest2017
Prodigy Finance ComputeFest Exploratory Visualization Contest 2017
DL_computefest_2017
Harvard Computefest 2017 Deep Learning workshops
DeepLearningNLP_Py
Introduction to Deep Learning for Natural Language Processing