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analytics-vidhya-articles.txt

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+Here are my articles that were published in Anaytics Vidhya Platform:
+
+1. Deep learning Vision - Digitizing the world
+
+url - https://www.analyticsvidhya.com/blog/2022/08/deep-learning-vision-digitizing-the-world/
+
+2. Analysis of Imbalanced Datasets - Sample size vs Accuracy
+
+3. Is Adult Income Dataset imbalanced?
+
+4. How ML with Titanic Dataset could be misleading
+
+5. Some misconceptions about machine learning

kaggle-comp.txt

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+I have participated in following kaggle competitions:
+
+I am a Notebook Expert; Discussions Expert
+
+* Kaggle URL - https://www.kaggle.com/murugesann 
+
+1.Predict Student Performance from Game Play (Rank 413 / 2051)
+- Methodologies: Feature Engineering / CatBoost Classifier
+
+2.AMP Parkinson's Disease Progression Prediction (Rank 989/1805) - Methodologies: Ensemble and Stacking of Regressors including LGBM
+
+3.Parkinson's Freezing of Gait Prediction (Rank 207/1379). Methodologies: Feature Engineering, Time Series, MultioutputRegressor, calibratedCVClassifier, LGBMClassifier
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+4.ICR - Identifying Age-Related Conditions (Rank 2359/6430). Methodologies: Classifier Ensemble and Stacking
+
+5.Google - American Sign Language Finger spelling Recognition (Rank 331/1315). Methodologies: Custom Neural Network Model with Conv and Multihead Self Attention
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+6.Kaggle LLM Science Exam (Rank 1341/2664). Methodologies: Sentence Transformer, DebertaV2
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+7.LLM - Detect AI Generated Text (Rank 2060/4358). Methodologies: TFIDF Vectorizer, BytePairEncoding, Classifier Ensemble
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+8.House Prices - Advanced Regression Techniques (Rank 116/4582) - Methodologies: Deep Learning Neural Network

linkedin-articles.txt

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+I have written following path-breaking articles written in LinkedIn
+
+1. Effective Prompt Engineering - A Comprehensive Guide - https://www.linkedin.com/pulse/effective-prompt-engineering-murugesan-narayanaswamy-kfvsc
+
+2. Scaling laws of LLM based Generative AI Models - https://www.linkedin.com/pulse/scaling-laws-llm-based-generative-ai-models-murugesan-narayanaswamy-x5fnc 
+
+3. Large Language Models as Reasoning Engines: Decoding the Emergent Abilities and Future Prospects - Part 4 - https://www.linkedin.com/pulse/large-language-models-reasoning-engines-decoding-4-narayanaswamy-mfvqc 
+
+4. Large Language Models as Reasoning Engines: Decoding the Emergent Abilities and Future Prospects - Part 3
+
+5. Large Language Models as Reasoning Engines: Decoding the Emergent Abilities and Future Prospects - Part 2
+
+6. Large Language Models as Reasoning Engines: Decoding the Emergent Abilities and Future Prospects - Part 1