mangeshksagar Goto Github PK
Name: Mangesh Kshirsagar
Type: User
Bio: Data Scientist M.Tech (Modeling And Simulation)
Location: Pune
Name: Mangesh Kshirsagar
Type: User
Bio: Data Scientist M.Tech (Modeling And Simulation)
Location: Pune
Slides and talk assets from PyCon 2017
Short Python code snippets for all your development needs
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Loan Delinquency Prediction For Upcoming Month.#Evaluation:- Submissions are evaluated on F1-Score between the predicted class and observed. #F1-Score:- 0.35 #Rank 8 On Public Leaderboard
A curated list of references for MLOps
A tutorial for developers that want to learn about how to build modern applications on top of AWS. You will build a sample website that leverages infrastructure as code, containers, serverless code functions, CI/CD, and more.
The aim of this dataset and work is to predict future Crude Oil Prices based on the historical data available in the dataset. The data contains daily Brent oil prices from 17th of May 1987 until the 25th of February 2020.
A large number of real-world systems like Facebook, air-transport, metabolic reactions inside a living cell, and the Internet can be modelled as networks. Also several phenomena like traffic jams, rumour spreading and genetic regulations can be modelled as processes on networks making it an indispensable tool to study ‘complex systems’.
Roadmap to becoming a data engineer in 2021
code for Data Science From Scratch book
Deep learning is a subset of machine learning in artificial intelligence (AI) that has networks capable of learning unsupervised from data that is unstructured or unlabeled. Also known as deep neural learning or deep neural network.
Learn javascript in one picture.
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.
Competition is a great first challenge to get started. This repository contains different participated competition codes & description.
Mathematical Modeling And Simulation
Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
Jupyter Interactive Notebook
A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
A series of Jupyter notebooks showing how to load well log and petrophysical data in python.
This repository demonstrates the steps in building a predictive maintenance solution.
Learn python3 in one picture.
scikit-learn: machine learning in Python
Reusable, vendor-neutral, industry-specific, vendor-specific solution architecture patterns for enterprise
Stochastic optimization methods are optimization methods that generate and use random variables. For stochastic problems, the random variables appear in the formulation of the optimization problem itself, which involves random objective functions or random constraints.
Implementing Transfer Learning for custom data using VGG-16 and Resnet-50
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.