Deep Learning
Disaster Tweet Classification
NLP model to classify tweets as disaster-related or not using various approaches including LSTM, Word2Vec, and GloVe embeddings.
Histopathologic Cancer Detection
Deep learning model for identifying metastatic tissue in histopathologic scans using CNN architectures.
Chest CT Cancer Classification
Transfer learning approach using VGG16 for classifying different types of lung cancer from CT scans.
GAN Dog Image Generation
Generative Adversarial Network implementation for synthetic dog image generation using the Stanford Dogs Dataset.
Machine Learning
Supervised Learning
Revenue prediction model using Random Forest with feature engineering and outlier detection.
Unsupervised Learning
Analysis of GRHL2 protein-DNA binding patterns using clustering techniques and dimensionality reduction.
Data Analysis & Visualization
COVID-19 Analysis
R-based analysis of early COVID-19 pandemic data, including visualizations of case numbers and correlation with government control measures.
Technologies Used
Programming Languages
- Python
- R
Libraries & Frameworks
Python:
- TensorFlow
- Keras
- scikit-learn
- pandas
- numpy
- matplotlib
R:
- dplyr
- ggplot2
- tidyverse
Tools
- Jupyter Notebook
- R Markdown
Skills Demonstrated
- Deep Learning Model Architecture Design
- Natural Language Processing
- Image Classification
- Transfer Learning
- Data Preprocessing and Feature Engineering
- Statistical Analysis
- Data Visualization
- Model Evaluation and Validation