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Name: Mitul Tandon
Type: User
Company: VMware
Bio: Python Developer | DevOps Engineer | Kubernetes Addict
Twitter: TandonMitul
Location: Bangalore
Name: Mitul Tandon
Type: User
Company: VMware
Bio: Python Developer | DevOps Engineer | Kubernetes Addict
Twitter: TandonMitul
Location: Bangalore
Fake news is misinformation or manipulated news that is spread across the social media with an intention to damage a person, agency and organisation. Due to the dissemination of fake news, there is a need for computational methods to detect them. Fake news detection aims to help users to expose varieties of fabricated news. To achieve this goal, first we have taken the datasets which contains both fake and real news and conducted various experiments to organize fake news detector. We used natural processing, machine learning and deep learning techniques to classify the datasets. We yielded a comprehensive audit of detecting fake news by including fake news categorization, existing algorithms from machine learning techniques. In this project, we explored different machine learning models like Naïve Bayes, K nearest neighbors, decision tree, random forest and deep learning networks like Shallow Convolutional Neural Networks (CNN), Deep Convolutional Neural Network (VDCNN), Long Short-Term Memory Network (LSTM), Gated Recurrent Unit Network (GRU), Combination of Convolutional Neural Network with Long Short-Term Memory (CNN-LSTM) and Convolutional Neural Network with Gated Recurrent Unit (CNN-LSTM).
From given dataset of a firm, this model is trained to predict what are the chances whether a employee at firm will be present or absent at a given day.
Data Description Variable Definition ID UniqueID Estimated_Insects_Count Estimated insects count per square meter Crop_Type Category of Crop(0,1) Soil_Type Category of Soil (0,1) Pesticide_Use_Category Type of pesticides uses (1- Never, 2-Previously Used, 3-Currently Using) Number_Doses_Week Number of doses per week Number_Weeks_Used Number of weeks used Number_Weeks_Quit Number of weeks quit Season Season Category (1,2,3) Crop_Damage Crop Damage Category (0=alive, 1=Damage due to other causes, 2=Damage due to Pesticides)
Anthos sample application for retail banking
This repository contains implementation of all famous CNN networks using Keras in a unique fashion which helps one to learn these architecture's in an easy way and also create there own.
Simple Game Developed by Java Programming using Intellij IDEA
DeepFake Detection using Siamese Neural Networks
FER stands for Facial Emotion Recogination. This repository consist of some of the very popular CNN models used in the Computer vision world and tries to implement it to predict the emotion of the person given the facial expression. Check it out to find how these models perfomed on the stated task.
Automatically create Flask apps from Bootstrap templates
Dataset Description: Train.csv - 12666 rows x 7 columns (includes Class as target column) Test.csv - 29555 rows x 6 columns
Dream Housing Finance company deals in all kinds of home loans. They have presence across all urban, semi urban and rural areas. Customer first applies for home loan and after that company validates the customer eligibility for loan. Company wants to automate the loan eligibility process (real time) based on customer detail provided while filling online application form. These details are Gender, Marital Status, Education, Number of Dependents, Income, Loan Amount, Credit History and others. To automate this process, they have provided a dataset to identify the customers segments that are eligible for loan amount so that they can specifically target these customers.
:moneybag: Personal finances tracking web app
Famous demo microservice application robot-shop with auto instrumentation of opentelemetry tracing
A config repository having a collection of Kubernetes manifest files for deploying the demo microservice robot-shop
Updated Robot Shop microservice app with added functionality like observability, CI/CD pipeline, keycloak authorization, istio service mesh etc
Over the past 15 years, bee colonies have been disappearing in what is known as the "colony collapse disorder". According to National Geographic some regions have seen losses of up to 90%. North American beekeepers reported a 37% loss in honeybee colonies last year(2019). This repository analyses the past trends and aims to convince everyone to be kind to bees 🙂.
Collection of terraform modules
The sinking of the Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the widely considered “unsinkable” RMS Titanic sank after colliding with an iceberg. Unfortunately, there weren’t enough lifeboats for everyone onboard, resulting in the death of 1502 out of 2224 passengers and crew. While there was some element of luck involved in surviving, it seems some groups of people were more likely to survive than others. In this challenge, we ask you to build a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic class, etc).
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.