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100-days-of-ml-code

100 Days of ML Coding

10k_filings_rag_experiment

backend

berkeley-doc-summarizer

The Berkeley Document Summarizer is a learning-based, single-document summarization system that extracts source document content, exploits syntactic information to compress it, and uses coreference constraints to ensure clarity.

clrs

:notebook:Solutions to Introduction to Algorithms

coursera-pml-self-project

Practical Machine Learning Project - Prediction Analysis on Weight Lifting Exercise Dataset. Please refer "gh pages" branch for code repository. Link to report in the description.

d3-dataviz

data-wrangle-openstreetmaps-data

datasciencecoursera

datasharing

The Leek group guide to data sharing

dipeshtech.github.io

es-rest-sample

A sample to use ES Rest API in your Java program.

examples

A SimRank algorithm implementation using Spark

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

fasttext

Library for fast text representation and classification.

general-gym-player

Simple feed forward neural net that solves OpenAI gym environments via Q-learning

hadoop-book

Example source code accompanying O'Reilly's "Hadoop: The Definitive Guide" by Tom White

interactive-coding-challenges

Interactive, test-driven Python coding challenges (algorithms and data structures) typically found in coding interviews or coding competitions. https://bit.ly/git-code

jpmml-spark

PMML evaluator library for the Apache Spark cluster computing system (http://spark.apache.org/)

kaggle-avazu

2nd place solution for Avazu click-through rate prediction competition

llm_app2

llm_experiments

lucida

Speech and Vision Based Intelligent Personal Assistant

luminol

Anomaly Detection and Correlation library

ml-for-good-hackathon

ml_on_enronemails

A case study to identify person-of-interest in enron scandal using enron dataset availble publicly.

ms_tweets

Exploratory dump of tweets

ms_uc3_autism

FSI Autism UseCase3

natural-language-processing

Resources for "Natural Language Processing" Coursera course.

nlp_demo