This repository consist of the following projects:
Real world examples of Machine Learning :
a) Regression b) Classification c) Nearest Neighbor d) Boosting e) Feature Engineering f) Time Series forecasting
Real world examples of Machine Learning using (Sci-kit Learn, GraphLab[Dato], TensorFlow) :
a) Regression b) Deep Learning c) Classification d) Support Vector Machine e) Boosting f) Churn Analytics
Also some basic web scraping using Beautiful Soup.
This project exposes the various machine learning models (Classifier, Recommender System, Topic Modeling, Text Summarization, Forecasting Trends,etc) as web service(rest). Its shows how to deploy & use machine learning in production after the model is build, validated and evaluated.
This projects contains the Recommender system ,Classification and Clustering example with Apache Mahout.
The goal of churn analytics project is to understand the primary drivers to churn and predict churn using R and Apache Mahout.
Some commonly used examples of NLP using OpenNLP, StanfordCoreNLP, LingPipe, Mallet and Carrot :
a) Tokenizer b) Name Finder c) Sentence Detection d) Sentiment Analysis e) POS Detection f) Topic Modeling
This project is a part of lab exercise done during the course "Analyzing Big Data with a Concept IBM Watson" from Big Data University. Its a simple Question Answering system using OpenNLP.