Archive for the tag: Using

Business Analytics Using R

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Building a Fraud Detection Platform using AI and Big Data

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Learn more about AWS Startups at – https://amzn.to/2CXQYy2 
Yuaho Zheng, Director of Engineering at DataVisor, talks about building a fraud detection platform using AI and Big Data at the 2019 AWS Santa Clara Summit.
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Using Turbo-Tax to Report Opportunity Zone Capital Gains Deferral

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This is a brief instructional video on how to use Turbo-Tax to Report Capital Gains Deferrals via Opportunity Zones and specifically Opportunity Zone Funds. This is done via the manual capital gains entry screen in Turbo-Tax.
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If you deferred gain from the sale of stock by investing in a Qualified Opportunity Fund (QOF) you’ll need to specially report the deferral on your Form 1040 tax return.

In this video, we cover the proper reporting.

1. Schedule D
2. Form 8949
2. Form 8997

View our second video here which covers what is a QOF

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#Form8949 #QOF #OpportunityZones

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DISCLAIMER: I am a licensed attorney and certified public accountant (CPA) in the State of Florida. I am not a financial advisor. The information provided in this video is for entertainment purposes only. No such communication is provided in the course of an attorney-client relationship, and no communication is intended to constitute legal advice. You should speak with your own tax and legal professionals to discuss your circumstances before performing any of the tax, legal, or accounting strategies demonstrated in this video. Thank you.
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Credit Card Fraud Detection Using R

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Machine Learning Project for DA5030 Course
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Kaggle Meetup: Fraud Detection

Presenter: Chen Zeng

Meetup page: https://www.meetup.com/LearnDataScience/events/fbczqqyznbpc/

Slides: https://docs.google.com/presentation/d/189ge4CeULqPjInKwucMjst9u29AkgI9MwWKnEh1IkOs/edit?usp=sharing
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Predicting Credit Card Fraud Using R

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This project will help you predict the credit card frauds using four algorithms (Logistic Regression, Decision Tree, Random Forest and XGBoost. Based on the accuracy and AUC(Area Under Curve) value, the results are inferred. Watch full video to see which algorithm works best for predicting the frauds.

The github link for the project: https://github.com/Hima29nshi/Predicting_Credit_Card_Using_R.git
Dataset link: https://www.kaggle.com/mlg-ulb/creditcardfraud