prem-15 Goto Github PK
Name: Prem Kumar mishra
Type: User
Company: Kccl
Bio: I am a Manager -Mechanical , having more than 5 years of experience in mechanical and mining industry.
Location: Keonjhar,odisha
Name: Prem Kumar mishra
Type: User
Company: Kccl
Bio: I am a Manager -Mechanical , having more than 5 years of experience in mechanical and mining industry.
Location: Keonjhar,odisha
assinment
NLP case study to classify user mentioned issues into topics to assign the tickets to the responsible
regression assignment
adaboost classifier
INDUSTRY APPLICATIONS- FLOWER DETECTION
textttt
Fraud Detection model based on anonymized credit card transactions
Australia house pricing-1
transfer learning.
building a machine learning model for fraud detection
A deeplearning based approach to classify human gestures for smart gadjets.
Demo project for kccl
Residual networks implementation using Keras-1.0 functional API
Objective is to be able to identify the risky loan applicants to reduce the credit loss to the company
multipule linear regression
implementation for diabetic patients
PREDICTION ASSINMENT
forked file.
In this segment, you will use the IMDB movie reviews dataset to classify reviews as 'positive' or 'negative'. We have divided the data into training and test sets. The training set contains 800 positive and 800 negative movie reviews whereas the test set contains 200 positive and 200 negative movie reviews.This was one of the first widely-available sentiment analysis datasets compiled by Pang and Lee's. The data was first collected in 2002, however, the text is similar to movies reviews you find on IMDB today. The dataset is in a CSV format. It has two categories: Pos (reviews that express a positive or favourable sentiment) and Neg (reviews that express a negative or unfavourable sentiment). For this exercise, we will assume that all reviews are either positive or negative; there are no neutral reviews. You will need to build a Multinomial Naive Bayes classification model in Python for solving the questions.
Named Entity Recognition in Healthcare data to identify possible diseases and their suggested treatments from a corpus of medical text containing both disease and treatment.
A detialed analysis on the customers, products, orders and shipments of the Brazilian E-commerce giant Olist.
Minimal is a Jekyll theme for GitHub Pages
advanced regression assinment
Deep Residual Networks with 1K Layers
Customers in the telecom industry can choose from a variety of service providers and actively switch from one to the next. With the help of ML classification algorithms, we are going to predict the Churn.
In the telecom industry, customers are able to choose from multiple service providers and actively switch from one operator to another. In this highly competitive market, the telecommunications industry experiences an average of 15-25% annual churn rate.
sample questiones
PCA
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.