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📢Day 11/100: Integrating AI and ML in Credit Scoring

AI and machine learning are at the heart of my credit scoring model, but they require careful application. 🤖

Today’s focus:

1️⃣ Modeling approaches: Exploring supervised learning techniques like Gradient Boosting for risk prediction.

2️⃣ Bias mitigation: Addressing imbalances in transactional data to ensure fair outcomes.

3️⃣ Explainability: Building a model that’s transparent and interpretable to meet regulatory standards.

💡 Coming soon: Detailed performance metrics and insights from my initial experiments with AI-powered credit scoring!

#AI #MachineLearning #CreditScoring #ExplainableAI #FintechEthiopia



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📢Day 11/100: Integrating AI and ML in Credit Scoring

AI and machine learning are at the heart of my credit scoring model, but they require careful application. 🤖

Today’s focus:

1️⃣ Modeling approaches: Exploring supervised learning techniques like Gradient Boosting for risk prediction.

2️⃣ Bias mitigation: Addressing imbalances in transactional data to ensure fair outcomes.

3️⃣ Explainability: Building a model that’s transparent and interpretable to meet regulatory standards.

💡 Coming soon: Detailed performance metrics and insights from my initial experiments with AI-powered credit scoring!

#AI #MachineLearning #CreditScoring #ExplainableAI #FintechEthiopia

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Individual messages can be fully encrypted. But the user has to turn on that function. It's not automatic, as it is on Signal and WhatsApp. At this point, however, Durov had already been working on Telegram with his brother, and further planned a mobile-first social network with an explicit focus on anti-censorship. Later in April, he told TechCrunch that he had left Russia and had “no plans to go back,” saying that the nation was currently “incompatible with internet business at the moment.” He added later that he was looking for a country that matched his libertarian ideals to base his next startup. False news often spreads via public groups, or chats, with potentially fatal effects. On February 27th, Durov posted that Channels were becoming a source of unverified information and that the company lacks the ability to check on their veracity. He urged users to be mistrustful of the things shared on Channels, and initially threatened to block the feature in the countries involved for the length of the war, saying that he didn’t want Telegram to be used to aggravate conflict or incite ethnic hatred. He did, however, walk back this plan when it became clear that they had also become a vital communications tool for Ukrainian officials and citizens to help coordinate their resistance and evacuations. For Oleksandra Tsekhanovska, head of the Hybrid Warfare Analytical Group at the Kyiv-based Ukraine Crisis Media Center, the effects are both near- and far-reaching.
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