A helper package for preparing and combining data from a variety of sources

Using Power BI to analyze the competitors sales

Analysed Retail data to understand customer behavior, transaction pattern using SQL

Data reconciliation and sales analysis for a prestigious wine retailer using Python to assess product performance and pricing accuracy

This is the cumulative repository for the research project Deep Learning Approach to Robotic Prosthetic Wrist Control using EMG Signals done in the AWEAR lab. This repository would consist of all the Data processing pipelines codes, custom data preprocessing library built for this project, and all the time series CNN training Jupyter notebooks u…

Data analysis learning

Machine learning models build on real time data

Data Preparation using python (Automobile Dataset)

DATA SET: https://archive.ics.uci.edu/ml/datasets/Heart+Disease

Cryptocurrency Clusters

Data mining project about data preparation

An interactive Tableau dashboard analyzing Superstore's sales and profitability trends across regions, products, and customer segments to uncover actionable key business insights and growth opportunities.

I have designed an user defined function in R that takes (Dataset, Target Variable, Treshold, Categorical Varible and smoothing factor ) as arguments and generated a smoothed smooth logit table for any given categorical variable in a data set. The data set used for running the test cases has 1 million observations and 83 variables

This project implements Google Cloud's Vertex AI to develop a machine learning model that predicts loan repayment risks using a tabular dataset. It encompasses data preparation, model training, evaluation, deployment, and prediction processes.

Need to model the price of houses with the available independent variables. This model will then be used by the management to understand how exactly the prices vary with the variables. They can accordingly manipulate the strategy of the firm and concentrate on areas that will yield high returns. Further, the model will be a good way for manageme…

This project estimates Sentiment Analysis by calculating text Metrices to drive sentimental opinion, sentiment scores, readability, passive words, personal pronouns, etc, etc.

NLP Analysis on Tripadvisor Restaurant Reviews

Nordstrom Products dataset preparation includes collection, discovery, cleaning, normalization, enrichment, and validation using SQL

This project was completed for the data preparation techniques course.