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Name: Raj Singh
Type: User
Location: London
Name: Raj Singh
Type: User
Location: London
Awesome Books
.pdf Format Books for Machine and Deep Learning
The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways
You may think that machine learning models can only be trained with supercomputers and big data. This first course shows you how you can train and run machine learning models in any browser using TensorFlow.js. You’ll learn techniques for handling data in the browser, and at the end you’ll build a computer vision project that recognizes and classifies objects from a webcam. deeplearning.ai certificate : https://www.coursera.org/account/accomplishments/records/BURZEBYF8K3A
Source Code for the book Building Machine Learning Systems with Python
Sample code for Channel 9 Python for Beginners course
Caffe: a fast open framework for deep learning.
A repository of my Coursera latex code and notes
Finding Lane Lines using Python and OpenCV
Car Recognition with Deep Learning
Using Student's T-test check if mean daily return is 0
Calculate Implied Volatility using Newton's method
Check how many stocks (and which) are required to replicate an Index
WQU case study which analyses returns on SP500 and Nasdaq Indices from 2015 to 2017. Linear Regression analysis. Normality test
Theoretical Calculations
Simple Linear Regression is used to analyse significance of alpha and beta coefficients (for stock returns time series)
Monte Carlo Integration and Markov Chains. Theoretical
Combine stocks in portfolios and show that it is possible to achieve the same returns with much lower risk
Forcast a stock price using random walk equation with parameter from normal and uniform distribution. Compare these 2 cases
Uplift modeling and causal inference with machine learning algorithms
📺 A collection of useful YouTube channels for javascript developers and web designers
A collection of handy cheat sheets for programming, data science, version control, statistics, and probability.
This repository contains the bunch of cheat sheets of diffenrent python libraries which are used in order to develop data science application.
Essential Cheat Sheets for deep learning and machine learning researchers
My data analysis blog
Benchmarks for popular CNN models
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
This is code of book "Learn Deep Learning with PyTorch"
Complete-Life-Cycle-of-a-Data-Science-Project
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.