Name: Astha Allawadhi
Type: User
Bio: Certified Data Science Professional, with 2+ years of experience in software domain. Skilled at executing data-driven solutions, building efficient ML models
Location: Delhi , India
Blog: https://www.linkedin.com/in/astha-allawadhi-5065a3184/
classification-ml-models
Classification problems are the ones where our target column is categorical in simple words we have to predict discrete value - whether the bank will give loan (yes/no) , will the given person is terrorist or not, the person will take credit car or not etc etc. Classification is also a supervised learning technique , there are many machine learning models for the same , some of them discussed here are : Decision trees(works as both regressor and classifier) , KNN( , Naive bayes , logistic regression
extrpolatory-data-analysis
EDA or Extrapolatory Data Analysis is the process of reading the data , importing data so we can analyse data , extract important information from it and clean it if necessary then perform the predictive model building on it.
introduction-to-python-using-jupyter
For a newbie in data science , it is necessary to take up a programming language to build your models on. So python gives very user friendly platform for the same
linear-regression
Linear Regression is where it all starts - it is the basic statistical model approach which can be used fro building a basic predictive model for predicting a continuous target eg, sale price , salary , etc. Linear regression is the supervised learning algorithm - supervised means where we have defined dependent and independent variables, in simple language we have a target feature for which we are building model in order to predict that target column
statistical-analysis
Statistics is the heart of Analytics, and doing that using python requires a number of libraries and functions which makes it easy to apply the statistical concepts on machine learning models.
React
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
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
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.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
