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char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

data-analysis-and-statistical-modelling-on-ceos-salary-using-python

## Wooldrige.db contains datasets for study of econometrics. `The below example imports db, explores data, uses visualization, formulates hypothesis and uses statistical model of regression on CEOs dataset.

fetch_api_programatically

Extract the data from a publically accessible API programatically, propose a schema and store it in Staging table.

forecasting-household-water-consumption-with-time-series-forecasting-

Household water consumption prediction with Time Series Forecasting [R]: Utilized ACF, PACF and ARIMA modelling technique to forecast household water consumption accounting for periodicity with Fourier transformation

hackathons

k-folds-analysis

Study the effect of K folds on OLS with data generating process

pooled-ols-and-fixed-effect-modelling

Wooldrige.db contains datasets for study of econometrics.

predicting-housing-prices

Data Analysis using python

r

R exercises and examples

repo-sanjeev

sapbusinessobjects

This involves a showcase of my work on MySQL creating ER, Dimensional modelling, inputing dummy data and using SAP UDT, IDT and Web intelligence for report generation

sentiment-analysis-and-machine-learning

The app conducts analysis of the car reviews available on cars.com. It uses score of the words from AFINN lexicon to calculate the sentiment score and average sentiment score of each review. It checks each review for 4 tags Service, Handling, Inerior and Price. The sentiment Analysis is done on both sentiment sum and average sentiment individually and on all four tags. A Random Forest prediction model is used in this app to predict the Rating given by the user based on the sum of sentiment score and it tests the model on the reviews of the year selected by the user.

sparksql

Utilized SparkSQL to read json file and search for count of weather

sparkstreaming

Utilized spark streaming to generate tweets associated with Donald trump and store them in JSON using Scala IDE

stanford-s-snap-email-analysis-using-graph-theory-concepts-in-shiny