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Name: Saurabh Singh
Type: User
Bio: Certified Data Scientist
Location: Mumbai, Maharashtra, India
Name: Saurabh Singh
Type: User
Bio: Certified Data Scientist
Location: Mumbai, Maharashtra, India
Descriptive analysis of Airbnb data from Seattle, Boston and Copenhagen
This is a brief Insights on causes of flight delay based on Viz and implementation of Airline carrier ranking system based on data of flights to and from Texas ( Bureau of Transportation ) during Jan 2017. Using PandaSQL ( SQL+ Python)
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
This repository consists of work done to analyse sentiment of a customer in a conversation with a call center agent using various machine learning algorithms and audio features.
The library is useful for analyzing the emotions present in any audio file(call/music/recordings) into three classes namely positive, negative, neutral.
Pytorch implementation of Augmented Neural ODEs :sunflower:
Automated Resume Screening System using Machine Learning (With Dataset)
:memo: An awesome Data Science repository to learn and apply for real world problems.
A topic-centric list of high-quality open datasets in public domains. New PR ☛☛☛
Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library
This project shows step by step how to build a machine learning model that can predict the price of a car based on its features by testing many Machine Learning models and comparing between them.
Sample code for Google Cloud Vision
The objective of market segmentation is to divide a broad target market of customers into smaller, more similar groups and then design a marketing strategy specifically for each group. Clustering is a common technique to automatically find similar groups within a given data set. In this analysis, we will use clustering to find similar groups of customers within an airline's frequent flyer program, so that the airlines can target different customer segments with different types of mileage offers.
Python library for building highly effective data science workflows
Push and pull data files like code
Data analysis in python (and jupyter notebooks)
Cheat Sheets
This publication on medium solves DL datasets with neural nets (Complete analysis of data sets)
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Search Term Clustering
Code for projects shown on drdatascience.co.uk
Ekphrasis is a text processing tool, geared towards text from social networks, such as Twitter or Facebook. Ekphrasis performs tokenization, word normalization, word segmentation (for splitting hashtags) and spell correction, using word statistics from 2 big corpora (english Wikipedia, twitter - 330mil english tweets).
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Time Series Forecasting Best Practices & Examples
⏩ Generating speech in a single forward pass without any attention!
A List of Data Science/Machine Learning Resources (Mostly Free)
Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), ...)
Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017
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.