smitha28 Goto Github PK
Name: Smitha Achar
Type: User
Bio: Bachelor's in Mechatronics Engineering and a Master's in International Business. Would love to get into the field of Data Science!
Location: New York
Name: Smitha Achar
Type: User
Bio: Bachelor's in Mechatronics Engineering and a Master's in International Business. Would love to get into the field of Data Science!
Location: New York
Specifying a conda environment with `environment.yml`
This project is an extension of repository: Credit Card Defaults with Random Forrest Classifiers. It uses Adaptive Boosting to Create Predictions on Census Data
This project uses a variety of decision tree based classifiers to attempt prediction of whether or not a customer will default on their loans.
This was a challenge in Siraj Raval's video of Learn Python for Data Science -#1 Video Series.
Predicting house prices based on various features given in dataset using Bayesian Regression model
Predicting house prices based on various features given in dataset using Ridge Regression model
Predicting house prices based on various features given in dataset using Linear Regression model
An introduction to Web Scraping with Python
Code a KNN Classifier from scratch, evaluate performance & compare to Scikit-Learn's implementation. Using data from UC Irvine Machine Learning Repositiory
This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube
Learn how to program in SQL and understand basic queries.
Machine learning cheatsheet
This is how I learnt Python (baby-steps). I used the book Python Crash Course by Eric Matthes, which was an excellent and easy-to-follow guide that helped me learn python pretty quickly.
My very first Shiny App: "Who let the dogs out?"
Code a Logistic Regression Algorithm to predict whether or not a passenger survives Titanic
This was a challenge in Siraj Raval's video of Learn Python for Data Science -#2 Video Series.
Code files for undergrad final year project titled "Solar Thermal Collector Air Conditioning System Using Nanofluid"
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.