Welcome to my collection of machine-learning projects! This portfolio showcases a range of projects where I've applied various ML techniques to solve problems and extract insights across different domains.
Featured Projects 911 Call Data Analysis Analysis of emergency call data to identify patterns and optimize emergency response strategies.
Bitcoin Price Analysis Statistical analysis and prediction models for Bitcoin price trends.
Breast Cancer Detection Machine learning models to classify and predict breast cancer from diagnostic data.
E-Commerce Regression Analysis Regression models to predict customer spending based on their behavior and demographics.
English to French Translator A neural network model that translates text from English to French.
Internet Advertising Prediction Predictive models to determine the likelihood of a user clicking on an ad based on user features.
K-Means Clustering for University Classification Utilizing K-Means clustering to differentiate between public and private universities based on their features.
Loan Eligibility Prediction Predictive modeling to determine the eligibility of applicants for bank loans.
Credit Card Fraud Detection Anomaly detection algorithms to identify fraudulent transactions.
Uber Trip Analysis Exploratory data analysis of Uber trips to understand travel patterns and optimize services.
Technologies Used Python R TensorFlow PyTorch Keras Scikit-Learn OpenCV Flask Summary These projects demonstrate my ability to apply machine learning and data science techniques in various real-world scenarios, enhancing decision-making processes and optimizing operations across different sectors.
Feel free to explore the contents of this repository to understand more about my work and approach in the field of machine learning.