Using AWS s3,SQL,python and Pyspark, build data pipelines to provide the analytics department with the required formatted data
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Updated
Feb 23, 2023 - Jupyter Notebook
Using AWS s3,SQL,python and Pyspark, build data pipelines to provide the analytics department with the required formatted data
Adding row and column highlighting to an ASP.NET Gridview.
Kaggle - Mechanisms of Action (MoA) Prediction
Covid-19 data from Tuscany and its provinces from 24/2/2020 to 15/6/2022
Data Utility Improvement Experiment for DECAF
This project aims to use k-means and Agglomerative clustering to segment customers into different groups based on their characteristics and purchasing habits. The goal is to understand the similarities and differences between the customer segments, which can help inform marketing strategies and target specific groups of customers.
Researching how old classical machine learning – gradient boosting – and new modern deep learning algos cope with tabular data
A simple repository with PCA, Deep Learning and Clustering techniques to identify persona in a survey dataset.
Various Python programs working with CSV and tabular data
Predicting how capable each applicant is of repaying a loan?
My experiments on the rossmann dataset
Tless is a lightweight command-line utility to view tabular data in text files, much like less for ordinary text. It allows locking of rows and columns, synchronized-scrolling, and searches.
The goal is to determine the presence or absence of smoking through bio-signals.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
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