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Vikas Chaugale's Projects

2015 icon 2015

Public material for CS109

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.

ai_curriculum icon ai_curriculum

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.

applied-ml icon applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

article-resources icon article-resources

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

awesome-datascience icon awesome-datascience

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

awesome-dataviz icon awesome-dataviz

:chart_with_upwards_trend: A curated list of awesome data visualization libraries and resources.

awesome-matlab icon awesome-matlab

A curated list of awesome MATLAB toolboxes, applications, software and resources.

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

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

data_viz_python_tutorial icon data_viz_python_tutorial

An introduction to basic data visualizations using Pandas, Matplotlib, Seaborn, and Plotnine all combined in a single Jupyter Notebook.

deep-learning-drizzle icon deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

interview icon interview

Everything you need to prepare for your technical interview

interview_problems icon interview_problems

Example coding interview problems found through online resources, Cracking the Code book, mentors and colleagues. An additional robust resource for example interview questions and solutions is at https://github.com/mmihaljevic/algortihms_challenges.

javascript-algorithms icon javascript-algorithms

📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings

kaggle-learning icon kaggle-learning

Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).

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