sarathkumar1997's Projects
18.06 course at MIT in Spring 2017
Probability Statistics and Stochastic Process, 2019
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Share, discuss and learn about algorithm implementations!
:globe_with_meridians: Repository which contains all the links and resources on different topics of Computer Science
:sunglasses: Curated list of awesome lists
A curated list of awesome C/C++ frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
:memo: An awesome Data Science repository to learn and apply for real world problems.
:penguin: A list of awesome projects and resources that make Linux even more awesome. :penguin:
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of awesome Python frameworks, libraries, software and resources
Course materials for BIOST561
A complete computer science study plan to become a software engineer.
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.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
List of Data Science Cheatsheets to rule the world
Data science for statisticians workshop
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
ggplot2: elegant graphics for data analysis
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
A class conforming to the template of IITM for resumes.
A LaTeX class for IIT Madras Thesis format
Compact LaTeX Template for the standard institute format. This is a modification of MR Bharath's LaTeX template. I've made it more compact and added a small table option
An interactive introduction to LaTeX using Overleaf.
Evaluate various supervised learning methods to predict cohesive energies of solids (kernel ridge regression is the best)
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Learn how to responsibly deliver value with machine learning.
Papers from the computer science community to read and discuss.
Curated list of project-based tutorials
Generic Set of exercises in python aimed to teach newbies to grasp fundamentals easily.