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Ravishankar Shivarama's Projects

100daysofml icon 100daysofml

100 Days of Machine Learning Coding as proposed by Siraj Raval

90daysofdevops icon 90daysofdevops

This repository is my documenting repository for learning the world of DevOps. I started this journey on the 1st January 2022 and I plan to run to March 31st for a complete 90-day romp on spending an hour a day including weekends to get a foundational knowledge across a lot of different areas that make up DevOps.

artificial-intelligence-and-data-science-pro icon artificial-intelligence-and-data-science-pro

Regularly Updated | Collection of the best Data Science and AI Material from the Web | Covering Everything from Books, Courses along with Material, Research Papers, and Interview Prep to Cheatsheet

awesome-cv icon awesome-cv

Awesome CV is LaTeX template for your outstanding job application

awesome-datascience icon awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

best-of-ml-python icon best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

bidirectional-job-resume-recommender-system icon bidirectional-job-resume-recommender-system

A must have tool for job seekers and recruiters. This project is intended to find and recommend the best fit. Job seekers can find best matching jobs to their resume and Recruiters find the best fit resumes for any job posting. Its based on Machine learning "NLP" concepts of text content match via Doc2Vec and similarity scores.

commute_map icon commute_map

In this project we create a city map based on how long it takes to commute from there to our workplace every morning.

cvrptw icon cvrptw

Capacitated Vehicle Routing Problem with Time Windows (NP-Hard). Winner at ICHack 18.

data-science-cheatsheet icon data-science-cheatsheet

A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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