vinodhini-sd Goto Github PK
Name: Vino Duraisamy
Type: User
Company: @snowflakedb
Bio: Data & Applied ML Engineer
Twitter: vinodhini_sd
Location: San Francisco
Name: Vino Duraisamy
Type: User
Company: @snowflakedb
Bio: Data & Applied ML Engineer
Twitter: vinodhini_sd
Location: San Francisco
I will be putting notebooks created for #100daysofnlp here
A recommendation engine using python based on item-item similarity between different books and the user's past purchase behaviour. Used Python based NetworkX package to understand the relationship and similarity between books.
A curated list of awesome computer vision resources
A curated list of deep learning resources for computer vision
Analysis of SQL Leetcode and classic interview questions. Common pitfalls, anti-patterns and handy tricks are discussed. Sample databases are provided.
Learning Convolutional Neural Networks with Interactive Visualization.
Course Files for Complete Python 3 Bootcamp Course on Udemy
Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
Exploratory Data Analysis of COVID-19 Data
A repository to prepare you for your machine learning interview, involving most of the questions asked by all the tech giants and local companies. Do this to Ace your Machine Learning Engineer Interviews
Predicting Customer Churn in a Telecommunication company based on different attributes and past behavior.
Cheat Sheets
A helpful 4-page data science cheatsheet to assist with exam reviews, interview prep, and anything in-between.
A collection of various deep learning architectures, models, and tips
List of Data Science Cheatsheets to rule the world
A framework for data quality checks - Implemented the Write-Audit-Publish pattern using lakeFS, Spark and MinIO
Hands-On-Time-Series-Analysis-with-R
House Price prediction model using SMOTE and stacking for improved accuracy
Classification of images from CIFAR-10 dataset with convolutional neural networks. Python Keras package is used.
Predicting Insurance Claim frauds using Python Sk-Learn module
A compilation of all the Leetcode solutions.
Content for Udacity's Machine Learning curriculum
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
A collection of machine learning examples and tutorials.
https://huyenchip.com/ml-interviews-book/
Classifying whether or not the comments and suggestions made in health forums are given by healthcare experts or naive users.
The Natural Language Toolkit, or more commonly NLTK, is a suite of python libraries and programs for natural language processing.
Practical Time-Series Analysis, published by Packt
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.