I specialize in the dynamic and ever-evolving field of Artificial Intelligence, Data Science. My expertise lies in harnessing the power of AI, Natural Language Processing (NLP), Data Engineering, and cutting-edge AI-ML technologies to unravel complex problems and unlock new possibilities.
Air Quality Index Monitoring webpage using Google maps API using Python
In an era where environmental concerns increasingly shape public policy and personal health decisions, access to real-time air quality data has never been more crucial. The AQI Google Maps project represents an innovative approach to environmental monitoring, combining Google Maps’ familiar interface with critical air quality metrics. This open-source initiative transforms complex environmental data into […]
Case Study: Using DBSCAN algorithm for Clustering and Anomaly Detection on Various Datasets
Introduction In the realm of unsupervised machine learning, clustering algorithms play a pivotal role in identifying patterns, grouping similar data points, and detecting anomalies within datasets. Among these algorithms, Density-Based Spatial Clustering of Applications with Noise (DBSCAN) stands out for its ability to discover clusters of arbitrary shapes and effectively identify outliers without requiring a […]
Case-study of Machine Learning Hyperparameter Tuning to check Exponential change in Classification and Regression models accuracy
Introduction Hyperparameter tuning plays a crucial role in optimizing the performance of machine learning models. In this case study, we explore the impact of hyperparameter tuning on model accuracy using various supervised learning algorithms for classification and regression tasks. The dataset used in this study is the Holiday Package Prediction Dataset, where the goal is […]