blosher13 Goto Github PK

analyze-spotify-with-airflow

Analyze spotify data by creating an ETL(Extract, Transform, Load) pipeline using Python and automate the process through Apache airflow.

cars-app-api

Car API project

churn-rate-modelling

Predict customer churn rate for a mock telecommunications company using explanatory variables such as age, monthly charges, complaints, etc.

covid19

Resources for the Udemy Course - Azure Data Factory For Data Engineers - Project on Covid19

covid_data_engineering

databricks_example_transformation

dbt_with_airbnb_data

Data Engineering using Airbnb data with DBT

django-5-by-example

Django 5 By Example (5th Edition) published by Packt

django_crud_crm_app

django_diary_app

djangocrm

electricity-price-forecasting-

Class project where we used deep learning techniques to estimate marginal local energy prices in PJM's day-before and real-time markets

flutterapp1

Practice flutter app

fruits

monte-carlo-simulation-study-error-rate

Quantifying the effect of error rate and model quality using Monte Carlo Simulations

paradime-dbt-movie-challenge

personalwebsite

Original website created for learning purposes only

personalwebsite2

Refresh of original personal website

personalwebsite3

portfoliowebsite

Portfolio Website

posts

Material for posts

practicegithub

pytorch-deep-learning-in-7-days

Code repository for PyTorch Deep Learning in 7 Days, Published by Packt

real-estate-price-predictions-and-dom-prediction

Using machine learning techniques to predict vancouver housing prices and "Days on Market" prediction

rnn-lstm-for-text-classification

Kaggle in-class competition where I implemented RNN & LSTM models using TensorFlow to predict the domain of scientific papers based on their titles and references.

telco-customer-churn-prediction

Class project where we used basic machine learning models to predict churn rates for a telecommunications company. Data was found on kraggle (https://www.kaggle.com/blastchar/telco-customer-churn)

testwywm

todolist-v1