Pinned Repositories
awesome-causality-algorithms
An index of algorithms for learning causality with data
fraud-detection-using-machine-learning
Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
Genetic-Algorithm-RNN
Using Genetic Algorithms to optimize Recurrent Neural Network's Configuration
incubator-pinot
Apache Pinot (Incubating) - A realtime distributed OLAP datastore
kaggle-toxic-comments
Ensemble stacking using Keras / Tensorflow. Used LSTM RNN, Logistic Regression & XGB Classifier for first level, and simple CNN for metalearning.
Legal-Text-Analytics
A list of selected resources, methods, and tools dedicated to Legal Text Analytics.
MIT-Data-Science
Spark-with-Python---My-learning-notes-
ETL pipeline using pyspark (Spark - Python)
Talk-to-R-Shiny
Voice Enabled Statistics with R
telemanom
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
abhishekms1047's Repositories
abhishekms1047/Talk-to-R-Shiny
Voice Enabled Statistics with R
abhishekms1047/kaggle-toxic-comments
Ensemble stacking using Keras / Tensorflow. Used LSTM RNN, Logistic Regression & XGB Classifier for first level, and simple CNN for metalearning.
abhishekms1047/price-optimization-shiny
Shiny app for Price Optimization using prophet and lme4 libraries for R.
abhishekms1047/Genetic-Algorithm-RNN
Using Genetic Algorithms to optimize Recurrent Neural Network's Configuration
abhishekms1047/MIT-Data-Science
abhishekms1047/Spark-with-Python---My-learning-notes-
ETL pipeline using pyspark (Spark - Python)
abhishekms1047/awd-lstm-lm
LSTM and QRNN Language Model Toolkit for PyTorch
abhishekms1047/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
abhishekms1047/blog
Source code of Blog at
abhishekms1047/CCA175PracticeCode
Repository to capture all Practice code and examples for "CCA Spark and Hadoop Developer Certification - Cloudera" (CCA175) Exam.
abhishekms1047/code-challenge
Coding challenge
abhishekms1047/deep-learning-experiments
Miscellaneous deep learning projects
abhishekms1047/DLS
Deep Learning Studio is a GUI based deep learning platform for designing, training and evaluating artificial neural networks without programming skills.
abhishekms1047/docker_and_data_science
Code used in the article: Data science in production with Docker ()
abhishekms1047/Docker_Tutorial
Code and helper scripts for article on Medium "How Docker Can Help You Become A More Effective Data Scientist"
abhishekms1047/evolutionary-computation-course
Jupyter/IPython notebooks about evolutionary computation.
abhishekms1047/flask_api
Creating a Machine Learning API using Flask - Repository for AV Article
abhishekms1047/Hadoop
CCA175 Certification
abhishekms1047/kafka-streams-examples
Demo applications and code examples for Apache Kafka's Streams API.
abhishekms1047/LeetCode
:pencil: Python / C++ 11 Solutions of All 468 LeetCode Questions
abhishekms1047/luigi_gdb_pipeline_demo
An example to illustrate using Luigi to manage a data science workflow in Greenplum Database
abhishekms1047/ml-prod
Some thoughts on how to use machine learning in production
abhishekms1047/mysql-5.6
Facebook's branch of the Oracle MySQL v5.6 database. This includes MyRocks.
abhishekms1047/NP_ML
A tool library of classical machine learning algorithms with only numpy.
abhishekms1047/OnlineSchemaChange
A tool for performing online schema changes on MySQL.
abhishekms1047/Spark-The-Definitive-Guide
Spark: The Definitive Guide's Code Repository
abhishekms1047/SparkInternals
Notes talking about the design and implementation of Apache Spark
abhishekms1047/tfjs-examples
Examples built with TensorFlow.js
abhishekms1047/Time-Series-ML
LSTM in vanilla Tensorflow for multivariate time series prediction - example used on US-econ big-5 (GDP, Inflation, Interest, FX, Labor)
abhishekms1047/TSensemble
Code for the SGAI2017 submission "Ensembles of Recurrent Neural Networks for Robust Time Series Forecasting"