kpradyumna095's repositories
analytical-tutorials
Tutorials for writing analytical scripts
100-Days-Of-ML-Code
100 Days of ML Coding
fsdl-text-recognizer-project
Lab materials for the Full Stack Deep Learning Course
Synapse-Lake-Databases-Synthetic-Data-Generator
Main purpose of this repo is to generate fake data to support demos, tests and sandboxes. This repo contains open source code in python, designed to work inside a Synapse workspace. It is built inside a Synapse notebook which fills all the tables of any industry database model.
just-enough-python-for-spark
The published version of the IL course Just Enough Python for Spark
pyspark-style-guide
This is a guide to PySpark code style presenting common situations and the associated best practices based on the most frequent recurring topics across the PySpark repos we've encountered.
odsc_mlops_from_model_to_prod
Machine Learning Operations (MLOps) are essential to build successful Data Science use-cases. Today, ML is powering data driven use-cases that are transforming industries around the world. In order to seize and hold it's competitive advantage business needs to reduce risk therefore a new expertise rises to include data science models in operational
MLOps-Specialization-Notes
Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
mlzoomcamp_midterm
Lending Club Kaggle Dataset
large-scale-lm-tutorials
Large-scale language modeling tutorials with PyTorch
ml-workflows
A project to provide an easy way to get started building distributed environments for machine learning workflows in AWS using Prefect and Dask.
Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
Big-Data-Systems-Intelligence-Analytics
Python, SQL, Snowflake, AWS services, Google Cloud Platform, Hadoop, HDFS, Mapreduce, Hive, Pig, MongoDB, HBase, Apache kafka, Apache Airflow, Docker, Tableau
Datawarehousing-and-Business-Intelligence
Relational Databases like MySQL, Oracle, Microsoft SQL Server, PostgreSQL, Business Intelligence and ETL tools Tableau, PowerBI, Talend, Alteryx, ER Studio, Toad Data Modeler
data-sceience-git-demo
welcoome to ds
Deep-Learning-Demo
its for beginners
Microsoft-Azure-Snowflake
Build datapipeline in Microsoft Azure, Build Datawarehouse in Snowflake
octopus
This project explains how to move from a Jupyter notebook phase to a production ready training script that can run in a distributed training mode using Azure ML, Horovod and TF
DATA-ENGINEERING-PROJECTS--udacity_nanodegree-
PROJECTS IN UDACITY NANODEGREE IN DATA ENGINEERING.1 Data Modelling wit PostegreSQL. 2 ETL in Cloud Data Warehouses. 3 Data Lakes with Spark.4 Data Pipelines with Airflow.5 Data Engineering Final Capstone Project.US Migration data ETL pipeline with Spark
spark-streaming-k8s
Developing and deploying Spark Streaming on Kubernetes!
Lending-Club-Loan-Analysis
Explanatory Data Analysis and ML model building using Apache Spark and PySpark
Springboard-MLETrack-Student
Collection of notes, code snippets, & mini projects for the ML Eng track.
DeepPurpose
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos