MohindharMukku
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own way of studying data science, machine learning and AI (Python)
This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]
"Comprehensive notes on Big Data analysis, covering key concepts, tools, and techniques. Dive into the world of data analytics with this curated repository. Explore topics like Hadoop, Spark, and d…
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
Implementing best practices for PySpark ETL jobs and applications.
A comprehensive Spark guide collated from multiple sources that can be referred to learn more about Spark or as an interview refresher.
A Nice-looking CV template made into LaTeX
My curriculum vitae (CV) written using LaTeX.
20 Seconds CV for data scientists written in LaTeX. It includes a photo in its sidebar.
A curated list to learn about distributed systems
A list of useful resources to learn Data Engineering from scratch
end-to-end data pipeline to ingest and visualize the acm icpc world finals dataset
A curated list of awesome Deepfakes materials
YSDA course in Natural Language Processing
Notes on Lindsey Kuper's lectures on Distributed Systems
List of Computer Science courses with video lectures.
Code/Notes for the Data Engineering Zoomcamp by DataTalksClub
Free Data Engineering course!
DevOps Guide - Development to Production all configurations with basic notes to debug efficiently.
Python tutorials in both Jupyter Notebook and youtube format.