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Name: Shanmugasundaram M
Type: User
Bio: A data Science Enthusiast with a flair for lifelong learning !
Location: Chennai, India
Name: Shanmugasundaram M
Type: User
Bio: A data Science Enthusiast with a flair for lifelong learning !
Location: Chennai, India
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.
This portfolio is a compilation of notebooks which I created for Data Science related tasks like Tutorials, Exploratory Data Analysis, and Machine Learning.
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
Data Science Tutorials
Toturial coming with "data science roadmap" graphe.
A Python tool that automatically cleans data sets and readies them for analysis.
Curated list of Python resources for data science.
This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
A workthrough of Field Cady's Data Science Handbook
Open Source Data Science Resources.
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
Code for Kaggle's Default Loan Prediction - Imperial College London challenge.
On-line Resources for Data Engineering, (Data) Science & (Data) Architecture Learning
A Deep Convolutional Neural Network for Diabetic Retinopathy classification
Diabetic Retionopathy Code for Kaggle Competition involving CNN and ANN and comparing the results between them and plotting the graph and computation of Confusion Matrix
Deep Learning with TensorFlow, Keras, and PyTorch
Data Science Usecases
List of Data Science Cheatsheets to rule the world
Energy Disaggregation Product Proof-of-Concept Using Data Science to Develop a New Product
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.