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…

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

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

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

This project was completed for the data preparation techniques course.

In this repository, I implement a data preparation process. Data preparation is the stage where we prepare data for machine learning processes or other things related to data analysis.

This repository contains steps taken to predict the marketing strategy for a smart device manufacturing company.

CAN U PREDICT CORRECTLY WHETHER A CUSTOMER WILL CANCEL THE RESERVATION?? You can find the dataset from this kaggle website: https://www.kaggle.com/datasets/ahsan81/hotel-reservations-classification-dataset

The Bikes Sales Analysis Excel Project is a practical exploration of sales data analysis using Microsoft Excel. This project showcases how Excel can be a powerful tool for data cleaning, preprocessing, visualization, and dashboard creation, all within a familiar spreadsheet environment.

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

Trying to predict survival rate of passengers using algorithms like Logistic Regression, Ada Boost, Gradient Boost , Decision Tree Classifiers , Extra Tree Classifiers , Random Forest Classifiers and XG Boost with appropriate data preprocessing techniques.

Cryptocurrency Clusters

A comprehensive path for NLP

This repo includes codes for ML Zoomcamp. If you can follow the tutorials from the link here: https://www.youtube.com/watch?v=rowoDjPc8HU&list=PL3MmuxUbc_hIhxl5Ji8t4O6lPAOpHaCLR 👩🏼‍💻

Proyecto de segmentación de clientes, mediante clusterización.