course website for data science tools 1

In this project we are going to create an end-to-end data platform right from Data Ingestion, Data Transformation, Data Loading and Reporting.

This repository for a project detailing the step by step approach of scraping data, integrating data from various sources, performing analysis on data from various sources for the purpose of analaysis. It also shows how APIs can be harnessed for data engr operations. In this project, the four square API was utilized for the location data.

White and Red Wine classification using logistic regression

Modern machine learning project development - This end-to-end project implementation provides the real-time delay updates to logistic companies. It uses MLflow for model tracking and management, Hopsworks Feature Store for storing and managing the dataset, and Streamlit for building an interactive web application to predict truck delays.

Proof of concept using localstack as a mock AWS (cloud) to build a basic data ingestion infra using Terraform

Describe the different entities that form a modern data ecosystem. Describe and differentiate between the role and responsibilities of Data Engineers, Data Scientists, Data Analysts, Business Analysts, and Business Intelligence Analysts. Explain what Data Engineering is. List the tasks that need to be performed in a typical data engineering life…

This project builds a cloud-based pipeline to extract NYC taxi data from an API and store it in Azure Data Lake Storage (ADLS). Databricks and PySpark are used to transform the data through the medallion architecture (Bronze → Silver → Gold). Delta Lake ensures reliable storage, and Power BI provides visual insights for data-driven decision-making.

Export sales data from Google Sheet to a relational DBSM

The main purpose of this repository is to build the pipeline for training of regression models and predict the compressive strength of concrete to reduce the risk and cost involved in discarding the concrete structures when the concrete cube test fails.

An urban fire risk prediction model using machine learning. Visualization of findings with map and table in interactive Streamlit app.

Resource for ETL & Data Ingestion program using Apache Airflow

This repo hosts an end-to-end machine learning project designed to cover the full lifecycle of a data science initiative. The project encompasses a comprehensive approach including data Ingestion, preprocessing, exploratory data analysis (EDA), feature engineering, model training and evaluation, hyperparameter tuning, and cloud deployment.

An application of my Centipede framework to watch 4Chan for any potentially threatening behavior.

O projeto consiste em desenvolver uma solução para a migração de dados de uma fonte com muitos arquivos para uma base de dados hospedada em ambiente Cloud.