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coursera-ml-py

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

data_eng_projects

data engineering coursework for udacity nanodegree

data_modeling_cassandra

Data Modeling and ETL pipeline on Sparkify data

data_modeling_postgres

Data Modeling and ETL pipeline on Sparkify data

data_warehousing

Data Warehousing using Redshift and postgres

deeplearning_flask

Data Science AI Artificial Intelligence Deep Learning Python Keras TensorFlow TensorFlow2 Flask Docker NGINX Gunicorn microservices REST API Jupyter Lab Notebook

dsp

Metis Data Science Bootcamp - Official Prework Repository

etl_pipeline_immigration_data

Project on data engineering with immigration data, involving ETL pipelines using Airflow, constructing data warehouses through Redshift databases and S3 data storage as well as defining efficient data models

etl_pipeline_with_airflow

ETL with Airflow and Redshift

feast

Feature Store for Machine Learning

full-stack-classification-app

full stack machine learning application for machine learning classification tasks

knowledge-repo

A next-generation curated knowledge sharing platform for data scientists and other technical professions.

loan_default_classification

lstm_classifier_deployment

project on classification using LSTM with pytorch and deploying with AWS

ml-from-scratch

I am going to start writing various ML algorithms from scratch here

mlflow-torchserve

Plugin for deploying MLflow models to TorchServe

mta_data_exploration

nab

The Numenta Anomaly Benchmark

python_mc_implementation

python implementation for montecarlo simulation with GBM

python_projects

portfolio of python projects

reuters_parser

spark_datalake_etl

Data Lake using spark EMR and s3

topic_modeling_research_papers