mitul01 Goto Github PK

-fake-news-detection-

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).

absenteeism_prediction

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.

agriculture-pesticide-analysis

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)

anmoldeep7.github.io

automobile_classification

bank-of-anthos

Anthos sample application for retail banking

beeawareness

cnn_architectures

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.

connect4-game-

Simple Game Developed by Java Programming using Intellij IDEA

deepfake-detection

DeepFake Detection using Siamese Neural Networks

economicalflights

fer

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.

flaskerizer

Automatically create Flask apps from Bootstrap templates

flower_classification

Dataset Description: Train.csv - 12666 rows x 7 columns (includes Class as target column) Test.csv - 29555 rows x 6 columns

loan-prediction

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.

mitul01

mitul01.github.io

money-tracker

:moneybag: Personal finances tracking web app

movie

myproject.github.io

pythonlib

robot-shop

Famous demo microservice application robot-shop with auto instrumentation of opentelemetry tracing

robot-shop-config

A config repository having a collection of Kubernetes manifest files for deploying the demo microservice robot-shop

robotshop

Updated Robot Shop microservice app with added functionality like observability, CI/CD pipeline, keycloak authorization, istio service mesh etc

savebees

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 🙂.

score_your_resume

start

text_summarization_app

titanic_ml

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).

topsis

Package for Multiple-criteria decision-making using TOPSIS.Requires input file,weights and impacts. Returns dataframe with score and rank of every label.This package can help improve decision-making.