Happy Tax Franchising vs data-learn

Happy Tax Franchising

Happy Tax Franchising
Happy Tax Franchising

The Uber of Tax Preparation

Happy Tax Description

Happy Tax is a national tax franchise led by industry veterans that enables budding entrepreneurs to start their own seasonal tax business without learning taxes, quitting their job, signing risky leases or hiring costly employees. Unlike the rest of the retail and franchise tax industries, all tax returns are prepared by CPA's using our patent pending process and technology where clients can have their taxes prepared in a convenient manner by meeting their concierge anytime, anywhere with transparent, upfront pricing.

Existing tax and other franchises fail often and are costly and burdensome for franchisees. People are tired of lugging themselves to a tax office, waiting in a waiting room and then being subjected to a tax preparer with as little as 5 days training to prepare their tax return.

Our franchises are less risky as our franchisees are mobile and do not need to sign leases or recruit, hire or train employees nor do they need to learn taxes as our CPA's handle that for them. Consumers can now meet their tax professional anywhere that is convenient including house calls if they prefer and get a higher level of service in a less burdensome manner.

Liberty: They had aprox 500 store closings last year and most franchisees are not profitable. They cater mainly to lower income areas.

H&R Block: They have been declining customers for over a decade and have mediocre reputation with customers who are looking for an alternative.

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data-learn

data-learn
data-learn

Online machine learning system

Learn from your data, training your datasets as many times as you want, using our different algorithms for regression and classification. Let our system automatically choose the best parameters for your data, or choose them yourself.

Analyze the details of your learning model, its training and test accuracy and how it fits your data. Examine its learning curve to diagnose how it can be further improved. Compare the accuracy between different models.

Upload a prediction dataset or predict online with input data. Analyze the results and download them in a simple text format that can be imported into any system.

New features coming soon:

- Clustering (unsupervised learning)
- Anomaly detection (fraud detection)

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