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Name: Saarah Asad
Type: User
Name: Saarah Asad
Type: User
Grid view using Angular 5
Annotation tool using Angular 6, Firebase - Cloud Firestore
It is an android application developed using Java. It's features include: 1. Provides information about the institute and courses. 2. Allows users to enrol and purchase courses.
Tracks the price of Bitcoin
Hilarious Brooklyn Nine-Nine playlist
The basic data preprocessing steps before you start off with your ML algorithm.
A social network stores user data including their age and estimated salary. It has ads running on its platforms. It collects data such as the user clicks on advertisements and purchases made from them. Given an ad for a car company, it would predict if the user would purchase the car based on his/her age and estimated salary.
A social network stores user data including their age and estimated salary. It has ads running on its platforms. It collects data such as the user clicks on advertisements and purchases made from them. Given an ad for a car company, it would predict if the user would purchase the car based on his/her age and estimated salary.
A social network stores user data including their age and estimated salary. It has ads running on its platforms. It collects data such as the user clicks on advertisements and purchases made from them. Given an ad for a car company, it would predict if the user would purchase the car based on his/her age and estimated salary.
A social network stores user data including their age and estimated salary. It has ads running on its platforms. It collects data such as the user clicks on advertisements and purchases made from them. Given an ad for a car company, it would predict if the user would purchase the car based on his/her age and estimated salary.
A social network stores user data including their age and estimated salary. It has ads running on its platforms. It collects data such as the user clicks on advertisements and purchases made from them. Given an ad for a car company, it would predict if the user would purchase the car based on his/her age and estimated salary.
A mall has hired you as a machine learning scientist to segment their clients into different groups based on these two metrics: the annual income and the spending score. How do you do it?
A mall has hired you as a machine learning scientist to segment their clients into different groups based on these two metrics: the annual income and the spending score. How do you do it?
Apriori algorithm within Association Rule Learning helps the manager of a store to layout how items are placed in the store. It tells us if constumers bought this product, then they are likely to buy this other product. Thus, we could place these products together and customers are more like to buy both products.
Predicting the sentiment(Positive or Negative) of restaurant reviews.
Predicting the sentiment(Positive or Negative) of restaurant reviews.
Predicting the sentiment(Positive or Negative) of restaurant reviews.
A Simple Linear Regression Model implemented using sklearn.linear_model.LinearRegression in Python
Multiple linear regression is to assess if a continuous dependent variable can be predicted from a set of independent variables. The model is built using 1 of the 5 possible approaches - Backward Elimination (fastest method)
If you have a company, check if the new employee coming in demanding $X as salary is bluffing or telling the truth on how much he should receive based on previous stats using a polynomial regression model.
If you have a company, check if the new employee coming in demanding $X as salary is bluffing or telling the truth on how much he should receive based on previous stats using a support vector regression model.
If you have a company, check if the new employee coming in demanding $X as salary is bluffing or telling the truth on how much he should receive based on previous stats using a decision tree regression model.
If you have a company, check if the new employee coming in demanding $X as salary is bluffing or telling the truth on how much he should receive based on previous stats using a random forest regression model.
A social network stores user data including their age and estimated salary. It has ads running on its platforms. It collects data such as the user clicks on advertisements and purchases made from them. Given an ad for a car company, it would predict if the user would purchase the car based on his/her age and estimated salary.
A social network stores user data including their age and estimated salary. It has ads running on its platforms. It collects data such as the user clicks on advertisements and purchases made from them. Given an ad for a car company, it would predict if the user would purchase the car based on his/her age and estimated salary.
Take home task for the frontend application engineer role
The 3rd edition of course.fast.ai
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.