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by Sumit BhardwajSamples - sumit
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Default Sample
Sample 1
Logistic regression is a supervised learning algorithm used for binary classification tasks. That means it's used when the output variable can take on only two possible values—like true or false, yes or no, or one and zero. Unlike linear regression, which predicts a continuous value, logistic regression predicts the probability that a given input belongs to a particular class. This probability is then used to make a final classification decision.
Default Sample
Sample 2
It works by applying a transformation to the result of a linear combination of input features. This transformation ensures the output is always between zero and one, making it interpretable as a probability. A threshold, typically set at 0.5, is then used to convert this probability into a predicted class.
Default Sample
Sample 3
One of the key strengths of logistic regression is that it provides insight into feature importance. Each feature’s impact on the final prediction is represented by a coefficient, which tells us how strongly that feature is associated with the outcome.
Sample Transcriptions
Default Sample - Sample 1
Logistic regression is a supervised learning algorithm used for binary classification tasks. That means it's used when the output variable can take on only two possible values—like true or false, yes or no, or one and zero. Unlike linear regression, which predicts a continuous value, logistic regression predicts the probability that a given input belongs to a particular class. This probability is then used to make a final classification decision.
Default Sample - Sample 2
It works by applying a transformation to the result of a linear combination of input features. This transformation ensures the output is always between zero and one, making it interpretable as a probability. A threshold, typically set at 0.5, is then used to convert this probability into a predicted class.
Default Sample - Sample 3
One of the key strengths of logistic regression is that it provides insight into feature importance. Each feature’s impact on the final prediction is represented by a coefficient, which tells us how strongly that feature is associated with the outcome.
Default Sample - Sample 4
Logistic regression is widely used in fields like finance, healthcare, and marketing—for example, to predict loan defaults, diagnose medical conditions, or estimate customer churn. Although it's a relatively simple model, logistic regression performs well when the relationship between the inputs and the outcome is approximately linear in the log-odds. It's also computationally efficient and easy to implement, making it a solid baseline for many classification problems.
Default Sample - sumitt
आज मैं आपको बताना चाहता हूं कि हमारी new branch में special discount offer चल रहा है। हमारे loyal customers के लिए एक exclusive menu launch किया है जिसमें premium quality के साथ affordable prices का combination मिलेगा।
Default Sample - Sumit Singh
Looking for that perfect pair of ankle-length socks? Something comfortable, durable, and stylish enough to match your pace? Say hello to Birdcarts Sports Socks – your feet’s new best friend! These socks exceeded my expectations in every way – from comfort and quality to performance and durability.
Default Sample - Sumit voice
Stars are the ancient markers of pure energy. Birds follow their magnetic paths through darkness. The molecules dance in perfect harmony with nature's rhythm. Such is the way of life's eternal movement. We observe these patterns silently.
Default Sample - Sumit vishwakarma
ہماری دنیا میں ہر فیملی کے پاس خاص طاقتیں ہوتی ہیں۔ یوکی کی فیملی کو آگ پر کنٹرول کی پاور ملی ہے، جبکہ میکو کی فیملی پانی کو کنٹرول کر سکتی ہے۔ ان کی طاقتیں نسل در نسل چلی آ رہی ہیں۔
Default Sample - Nobi Sumit Vlogs
नमस्कार दोस्तों, मैं नोबी सुमित और आज हम आपको दिखाने वाले हैं एक बहुत ही खास जगह। यहां पर मिलता है सबसे बेस्ट स्ट्रीट फूड और मैं आपको बताऊंगा कि क्या-क्या स्पेशल है। तो चलिए शुरू करते हैं और देखते हैं क्या खास है यहां पर।
Default Sample - sumito
Bueno, yo diría que, para conseguir el mejor resultado, digamos, necesitamos mantener una temperatura que, vamos a decirlo así, no sobrepase los 30 grados. Esto es importante porque, personalmente, he notado que afecta la calidad del producto final.
Default Sample - Sumiti
आजकल के जो लड़के सोशल मीडिया पर दिन-रात टिक्टॉक बनाते रहते हैं, वो एकदम फालतू टाइप के होते हैं। बस फोन में घुसे रहते हैं और दुनिया से बेखबर रहते हैं।
Default Sample - sumit kumar voice
लोगो एनिमेशन बनाने के लिए सबसे पहले Shape Tool से एक सर्कल बनाना है। Text Tool से अपना टेक्स्ट क्रिएट करें और उसको Convert to Shape करें। फिर Trim Path से एनिमेशन करें और Ease को Adjust करके स्मूथ मोशन बनाएं। Keyframes को Graph Editor में एडिट करके परफेक्ट टाइमिंग सेट करें।
Default Sample - Sumit telecom 1
جیو کے ساتھ آپ کی زندگی ہو گی آسان۔ نئے نیٹ ورک پر سوئچ کریں اور حاصل کریں انلیمیٹڈ ڈیٹا، فری کالز اور مفت ایس ایم ایس۔ یہ آفر صرف محدود وقت کے لیے ہے۔ جلدی کریں، ابھی پورٹ کرائیں۔
Default Sample - Sumit Manna
The structure of honeycomb cells demonstrates perfect geometric efficiency in nature. This hexagonal pattern is now widely studied in architecture and material science, providing solutions for lightweight but strong building materials and energy-saving construction methods.
Default Sample - Sumit Voice
Hi everyone, I wanted to share something exciting with you today. I've been working on some new digital art projects and. Well, combining my poetry with visual elements. It's amazing how creativity can flow when you mix different forms of expression. Thank you for being part of this journey.
Default Sample - Sumit Singh
नमस्कार दोस्तों, आज मैं आपके लिए एक बहुत ही खास वीडियो लेकर आया हूं। इस वीडियो में हम जानेंगे कुछ ऐसी चीजें जो आपकी लाइफ को बदल सकती हैं। तो चलिए शुरू करते हैं और हां, वीडियो को लाइक करना मत भूलिएगा।
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