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🚀 Launching: ML for FinTech Projects – Real-World Implementations for ML Enthusiasts

I am excited to launch a practical, hands-on series dedicated to Machine Learning in FinTech. This initiative is designed for ML enthusiasts and professionals eager to explore real-world implementations of machine learning in financial systems.

In this series, you will learn step-by-step how to build and deploy FinTech solutions, including:

Credit Scoring Models https://youtu.be/pWOoYpJsaDc
Fraud Detection Systems
Loan Default Predictions https://youtu.be/pWOoYpJsaDc
Customer Segmentation
Transaction Risk Analysis
...and much more.

Each episode will include:
🔹 Clear explanations of ML techniques in a FinTech context
🔹 Real datasets and coding walkthroughs
🔹 End-to-end project structure from data prep to model deployment

Stay tuned, subscribe, and get ready to build solutions that make a real impact.



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🚀 Launching: ML for FinTech Projects – Real-World Implementations for ML Enthusiasts

I am excited to launch a practical, hands-on series dedicated to Machine Learning in FinTech. This initiative is designed for ML enthusiasts and professionals eager to explore real-world implementations of machine learning in financial systems.

In this series, you will learn step-by-step how to build and deploy FinTech solutions, including:

Credit Scoring Models https://youtu.be/pWOoYpJsaDc
Fraud Detection Systems
Loan Default Predictions https://youtu.be/pWOoYpJsaDc
Customer Segmentation
Transaction Risk Analysis
...and much more.

Each episode will include:
🔹 Clear explanations of ML techniques in a FinTech context
🔹 Real datasets and coding walkthroughs
🔹 End-to-end project structure from data prep to model deployment

Stay tuned, subscribe, and get ready to build solutions that make a real impact.

BY Epython Lab




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"He has kind of an old-school cyber-libertarian world view where technology is there to set you free," Maréchal said. Given the pro-privacy stance of the platform, it’s taken as a given that it’ll be used for a number of reasons, not all of them good. And Telegram has been attached to a fair few scandals related to terrorism, sexual exploitation and crime. Back in 2015, Vox described Telegram as “ISIS’ app of choice,” saying that the platform’s real use is the ability to use channels to distribute material to large groups at once. Telegram has acted to remove public channels affiliated with terrorism, but Pavel Durov reiterated that he had no business snooping on private conversations. DFR Lab sent the image through Microsoft Azure's Face Verification program and found that it was "highly unlikely" that the person in the second photo was the same as the first woman. The fact-checker Logically AI also found the claim to be false. The woman, Olena Kurilo, was also captured in a video after the airstrike and shown to have the injuries. He said that since his platform does not have the capacity to check all channels, it may restrict some in Russia and Ukraine "for the duration of the conflict," but then reversed course hours later after many users complained that Telegram was an important source of information. Under the Sebi Act, the regulator has the power to carry out search and seizure of books, registers, documents including electronics and digital devices from any person associated with the securities market.
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