Traffic Signs Image Classification
A Multi-class classification of traffic sign images using various ML algorithms aimed at categorization of high impact classes with an accuracy of 93%.
Toolkit: Classification(SVM, Naive Bayes, Random Forest, KNN, Multi-Layer Perceptron, LDA), Python, scikit-learn, EDA, PCA
Predicting Game success
Applying machine learning models to predict new games’ success rate in the current market, along with sentiment analysis of user reviews represented in an interactive visualization.
Toolkit: Regression(Multiple Linear Regression, Poisson), Python, Sentiment Analysis, HTML
Quick View Project Poster
Face Recognition using PCA
Face recognition of subjects by computing top eigen faces from images shot with different expressions.
Toolkit: Python, scikit-learn, PCA, Classification
Image Compression
Performing image compression of multiple image sizes using K-means clustering algorithm implemented from scratch
Toolkit: Python, Clustering (K-Means)
Spectral Clustering
Experimenting Spectral clustering algorithm with a synthetic dataset.
Toolkit: Python, Spectral Clustering, scikit-learn
Spectral Clustering for two rings
Comparing Classifiers
A comparison of a several classifiers in scikit-learn on synthetic datasets to illustrate the nature of decision boundaries of different classifiers.
Toolkit: Python, Classification(Naive Bayes, Decision Trees,Random Forest, Ada Boost, Neural Nets, SVM, QDA), scikit-learn
ISOMAP for Dimensionality reduction
Implementing the ISOMAP algorithm to obtain a two-dimensional embedding for images corresponding to different poses of the same person and comparing its results with PCA.
Toolkit: Python, Non-linear Dimensionality reduction
Clustering digits
Applying clustering techniques on hand-written images of digits.
Toolkit: Python, Clustering (KMeans)
Principal Component Analysis
Applying PCA on multiple data sets to identify trends and directions.
Toolkit: Python, Principal Component Analysis
Analysis on Leaf data set
Food consumption patterns in European Countries
PCA on hand-written digits images
Regularization
Applying Regularization techniques on a Housing dataset.
Toolkit: Python, Regression, Regularization (Ridge, Lasso)