shafqaatahmad Goto Github PK

arima-time-series-

bert_based_blended_approach_for_detecting_fakenews

BERT-LSTM and BERT-CNN based approach for detecting fake news on social media

chest-x-ray-images-pneumonia-

Build a Machine Learning model to classify x-ray images into 'NORMAL' and 'PNEUMONIA' classes using R.

chisquare-test-heatmap

The code build a correlation like heat but using chi-square test for catagorical variables. Python and R have built in libraries for producing heatmap for correlation test but there is no such library to produce heat map for chi-square test of association.

identification_of_fraudlent_health_claims

Identifying fraudulent health claims using Neural Networks, Random Forest, Logistic Regression and Gradient Boost.

ieee-cis-fraud-detection

The machine learning model will alert the fraudulent transaction for millions of people around the world, helping hundreds of thousands of businesses reduce their fraud loss and increase their revenue.

rcalwer-restrict-downloads

Using R package rclawer restrict downloading number of pages on page source contents

rvest_scrap_table

Using Rvest R package scrap html table

scrap_screen_html_table

Using Python beautiful soup scrap screen html table data

targeting_potential_customers

A website sent advertisements by emails to users who interested in their product. The task is to find a good model to predict if an advertisement will be clicked.

will_the_loan_be_approved-

Predict the outcome of loan application using Random Forest and Logistic regression