Amina Wasiq's repositories
Feature-Engineering
Feature engineering is the process of converting raw data into a more accessible format, optimizing it for effective utilization in machine learning models.
Insight-into-Catch-the-Pink-Flamingo-Game
Dataset Insights: Exploring Catch the Pink Flamingo Game
Association-Rules
This repository encapsulates in-depth analyses with a primary focus on association rules
DataScience-WIT-LAB
The repository is specifically designated for lab notebooks from the WIT DS boot camp.
E-Learning-SQL
Creating an e-learning management system using Microsoft SQL Server.
Geospatial-Analysis
Geospatial analysis is a method of analyzing, interpreting, and visualizing spatial data to understand patterns, relationships, and trends within geographic locations.
Insight-into-Social-Media
Exploring social media dynamics, this analysis extracts insights from diverse platforms. Scrutinizing user-generated content, engagement metrics, and trends reveals the pulse of online conversations. Key components include sentiment analysis, trend identification, and user behavior studies, fostering a nuanced understanding in 350 characters
LLMs
A "Large Language Model" typically refers to a sophisticated natural language processing (NLP) model that has been trained on extensive datasets to understand and generate human-like text.
NLP-Unlocking-the-Power-of-Words
Natural Language Processing (NLP) is a field of artificial intelligence (AI) and computational linguistics that deals with the interaction between computers and humans' natural languages.
Statistical-Analysis
Explore diverse datasets through statistical analysis. Jupyter notebooks and scripts uncover trends and insights. Contribute to the world of data exploration!
Supervised-ML
Supervised learning is a machine learning paradigm where a model is trained on a labeled dataset to make predictions or infer mappings between input features and corresponding output labels.
Unsupervised-ML
ML clustering groups similar data points, revealing patterns without predefined labels. It organizes data into meaningful clusters, aiding exploration and understanding inherent structures for informed decision-making.