adhikarisid001

adhikarisid001

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Drug-Price-Prediction

Pharmaceutical Drug Price Predictor

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Mercari-Price-Suggestion-Challenge

A regression case study. Solution to Kaggle competition problem.

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Churn-Detection-using-Spark

Customer churn is detected on imbalanced class problem using Logistic Regression in pySpark.

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Customer-churn-prediction

A project about building a stacked model with tuning the hyperparameters with grid search and hyperopt and used PySpark to test the performance of model in Spark Clusters in AWS EC2 and ROSE to balance the target variable

Language:Jupyter NotebookStargazers:2Issues:0Issues:0

churn-prediction-with-pyspark-and-keras

A distributed approach for data exploration, neural net training prediction and scoring. The modules are intended to handle large datasets by only operating in batches. The specific problem studied here is related to predicting the churn ratio (i.e., the amount of customers that leave a service) from a telecommunications company.

Language:Jupyter NotebookLicense:MITStargazers:5Issues:0Issues:0

Death-Row

An analysis of Texas inmates last words. The data is pulled from the internet using BeautifulSoup and analyzed in R. Specifically we use Latent Semantic Analysis. Initially this was an assignment for a class in data engineering.

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TextMiningInR

Sample text mining procedures in R

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text-mining-in-r

Text mining in R. Wordclouds, Comparison clouds and awesome plots.

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mlr

Machine Learning in R

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Machine-Learning-in-R

This repository contains my ML scripts in R

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models

Models and examples built with TensorFlow

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