mahmudrahman Goto Github PK
Name: Md Mahmudur Rahman
Type: User
Name: Md Mahmudur Rahman
Type: User
Code samples for YouTube APIs, including the YouTube Data API, YouTube Analytics API, and YouTube Live Streaming API. The repo contains language-specific directories that contain the samples.
Bayesian Deep Learning Benchmarks
Essential Cheat Sheets for deep learning and machine learning researchers
Regression modeling of sub-distribution functions in competing risks
Solutions to all quiz and all the programming assignments!!!
吴恩达老师的机器学习课程个人笔记
Absolute risk estimation based on Cox proportional hazards models for the primary and competing events
Dive into Deep Learning: an interactive deep learning book with code, math, and discussions, based on the NumPy interface.
DataCamp data-science courses
The Leek group guide to data sharing
Deep Learning Specialization by Andrew Ng on Coursera.
হাতেকলমে ডীপ লার্নিং
Practical assignments of the Deep|Bayes summer school 2019
DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks
TensorFlow Basic Tutorial Labs
Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementation of our AAAI 2019 paper.
I have done my individual project (dissertation) on ensemble methods. In which I first did the background study on different ensemble methods and then implemented Boosting, AdaBoost, Bagging and random forest techniques on underlying machine learning algorithms. I used boosting method to boost the performance of weak learner like decision stumps. Implemented bagging for decision trees (both regression and classification problems) and for KNN classifier. Used random forest for classification trees. I have implemented a special algorithm of boosting called “AdaBoost” on logistic regression algorithm using different threshold values. Then plotted the different graphs like an error rate as a function of boosting, bagging and random forest iterations. Compared results of bagging with boosting. Analysed the performance of classifier before applying ensemble methods and after applying ensemble methods. Used different model evaluation techniques like cross-validation, MSE, PRSS, ROC curves, confusion matrix, and out-of-bag error estimation to estimate the performance of ensemble techniques.
ESP (Early Stage Prediction) for Longitudinal Data
csc321 PA4
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
A machine learning project to predict who's more influential in Twitter. Project involved experimentation with various machine algorithms such as decision trees, logistic regression, support vector machines(SVM), random forests and gradient boosting machine(GBM)
Lifetime risk prediction model with pseudo-observations
machine learning and deep learning tutorials, articles and other resources
Matching Weight Propensity Scoring
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.