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-machine-learning-module

2016-ml-contest

Machine learning contest - October 2016 TLE

538model

538 Election Forecasting Model

acl2016-optimizing-rouge

Code for our optimizer which takes scored sentences and extract the best summary according to the ROUGE approximation.

acm_imbalanced_learning

Slides and code for the ACM Imbalanced Learning talk on 27th April 2016

adult-income-classification

In this project I will use various machine learnings algorithms to classify whether or not a particular observation has an income greater than $50,000 or not. I will evaluate the efficiency of each model by the percentage of correct classifications it makes. Data provided by kaggle.com

amazon

Amazon Project

amazon-product-classification

Deep Learning based classification model to classify products on Amazon, using product image, text title and brand name

applied-linear-regression

autogenic-automaton

Simulation of autogenesis in an origin-of-life model

autorccar

OpenCV Python Neural Network Autonomous RC Car

awesome-cheatsheet

:beers: awesome cheatsheet

awesome-deep-learning

awesome-deep-learning-1

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-public-datasets

aws

azure-ml

Training resources around Azure Machine Learning

bank

Accepts PDF statement and extract table from it, feed into database and make user to view their deposits accordingly in form on graph and tabular form

bank-csv-to-ledger

Convert a bank statement in CSV format to ledger format

bank-statement

bank-statement-analyser

Analyse exported bank statements in CSV format

bank-statement-parser

Scripts to parse PDF bank statements into CSV files

bankchatbot

Developed using IBM Watson Conversation Service, this is a banking assisstant chatbot which can help the users in knowing their bank account balance and getting their mobile recharged.

banking_chatbot

A banking assistant that works using the ibm watson service

barclays-bank-pdf-to-csv

Converts Barclays Bank PDF statements to CSV

bda_py_demos

benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

bible-lda

binary-classification-prediction-of-income-level

Prediction of individuals income levels through the comparison of logistic regression, KNN and random forest algorithms.

bnet

BNET