rohit8871 Goto Github PK
Name: Rohit Raj
Type: User
Company: Exact Space
Bio: I am working as a Data Scientist in Exact Space, Bangalore.
Location: Bangalore
Blog: https://exactspace.co/
Name: Rohit Raj
Type: User
Company: Exact Space
Bio: I am working as a Data Scientist in Exact Space, Bangalore.
Location: Bangalore
Blog: https://exactspace.co/
COCO API - Dataset @ http://cocodataset.org/
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
Churn or loss of customers to competition is a problem for companies because it is more expensive to acquire a new customer than to keep your existing one from leaving. This problem statement is targeted at enabling churn reduction using analytics concepts. Problem statement The objective of this Case is to predict customer behaviour. public dataset has been provided that has customer usage pattern and if the customer has moved or not. We expect you to develop an algorithm to predict the churn score based on usage pattern.
XYZ is a courier company. As we appreciate that human capital plays an important role in collection, transportation and delivery. The company is passing through genuine issue of Absenteeism. The company has shared it dataset and requested to have an answer on the following areas: 1. What changes company should bring to reduce the number of absenteeism? 2. How much losses every month can we project in 2011 if same trend of absenteeism continues?
Problem statement – The objective of this Case is to Predication of bike rental count on daily based on the environmental and seasonal settings.
Problem Statement: Objective: You will be provided with two audio video clips in the form of mp4 files. You are required to: 1. Extract image frames from each video and store them in folders “asset1” and “asset2” 2. Create a third folder “test” 3. MOVE five images from “asset1” and asset2” to the “test” folder. 4. Using the images in “asset1” and “asset2” train an image recognition model that will be able to distinguish images between images in the two folders 5. Apply the model on the ten images stored in “test” folder Data: Please download data from https://dev.exactspace.co/dt/videos.zip
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Python implementation of EVM(Eulerian Video Magnification)
A Python package to stabilize videos using OpenCV
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
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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.
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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.