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Name: Lokesh Kola
Type: User
Bio: I am Master's Student in Computer Science at BTH, Karlskrona, Sweden
Location: Sweden
Name: Lokesh Kola
Type: User
Bio: I am Master's Student in Computer Science at BTH, Karlskrona, Sweden
Location: Sweden
The is assignment in Performance Optimisation course. I had given two softwares for Image Transformation namely Blur, Threshold and these software were not working optimally in term of performance. My task is optimize the performance and reduce the execution time.
A Comparison of Selected Supervised ML Classifiers on Heart Failure Prediction.
The thesis aims to compare the selected supervised and semi-supervised ML classifiers to predict gestational diabetes (Type-3). The chosen algorithms have been used previously by other researchers for predicting diabetes. The dataset chosen is PIMA Indians Diabetes Dataset (PIDD), consisting of female patients aged 21 and above. The PIDD dataset comprises 768 instances, of which 500 patients are non-diabetic, and the rest are diabetic (the dataset is imbalanced). Different steps such as data cleaning, feature selection, and binning are done on the dataset, which leads to two datasets, namely, non-binned and binned. Parameter tuning is performed while training the algorithms. In addition, oversampling is done on the training set to cope with the imbalanced nature of the dataset. The built models are evaluated using different performance measures. The results of the study showed that the semi-supervised classifier could perform better compare to supervised methods. The non-binned dataset seemed to be more suitable for this problem. The thesis is finely written and structured. In addition, the selected ML techniques are well explained and motivated.
This is the client-server application for the file managment using Asyncio in python.
This is a simple application which takes a picture as input and shows the dotted edges of the picture.
The kalaha game was implement in Java with GUI tools. The artificial intelligence was implemented using minmax algorithm, This implemented AI will won on any player when Ai is chosen as Max player.
I had implement the Pthreads for the sequential code and optimize the performance. The execution time is much reduced by parallel execution.
The project Nulink-agent is a browser plug-in that provides file encryption, file sharing and authorization functions.
The project Nulink-chain is trying to bridge the NuCypher Network from Ethereum to the Polkadot Ecosystem. The NuCypher Network is a decentralized network of nodes that perform threshold cryptography operations which are serving users with secret management and dynamic access control.
NuLink watcher network build based on Chainbridge to relay the information from Ethereum to Polkadot.
This prediction was done by using Linear Regression Algorithm
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.