ckiran15 Goto Github PK
Type: User
Type: User
AmExpert-2018-Machine-Learning-Hackathon (Analytics Vidhya) Introduction: American Express and Analytics Vidhya presents “AmExpert”. An amazing opportunity to showcase your analytical abilities and talent. Problem Statement Recent years have witnessed a surge in the number of internet savvy users. Companies in the financial services domain leverage this huge internet traffic arriving at their interface by strategically placing ads/promotions for cross selling of various financial products on a plethora of web pages. The digital analytics unit of Best Cards Company uses cutting edge data science and machine learning for successful promotion of its valuable card products. They believe that a predictive model that forecasts whether a session involves a click on the ad/promotion would help them extract the maximum out of the huge clickstream data that they have collected. You are hired as a consultant to build an efficient model to predict whether a user will click on an ad or not, given the following features: Clickstream data/train data for duration: (2nd July 2017 – 7th July 2017) Test data for duration: (8th July 2017 – 9th July 2017) User features (demographics, user behaviour/activity, buying power etc.) Historical transactional data of the previous month with timestamp info (28th May 2017– 1st July 2017). This data contains * actions (views/interest registered) taken by the user historically on the product page via an ad or other sources Ad features (product category, webpage, campaign for ad etc.) Date time features (exact timestamp of the user session) A Binary Classification Problem for user ad-clicks, in which data pertaining to User Demographics, User actions and Historical logs of the user are provided for some Product id's.
Machine Learning to predict the possibility of customer churning
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Customer Churn Rate Prediction
Collection of data science projects in Python
Understanding Data and Machine Learning Models with Visualizations
This is the code for "K-Means Clustering - The Math of Intelligence (Week 3)" By SIraj Raval on Youtube
Predict Customer Churn in Python
A general-purpose framework for solving problems with machine learning applied to predicting customer churn
Telecom Customer Churn Analysis with Python
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.