abhishekiitm
AI and Software Engineering Enthusiast. abhis1@uw.edu https://abhishekiitm.github.io/
Seattle
Pinned Repositories
traincascade_ga
CSE_541_Interactive_Learning
Topics covered: Multi-armed Bandits, Linear Bandits, Contextual bandits, Markov Decision Processes
google_foobar
simple_bst
Simple binary search tree implementation.
DATA_558_Statistical_Machine_Learning
Bias-variance trade-off; training versus test error; overfitting; cross-validation; subset selection methods; regularized approaches for linear/logistic regression: ridge and lasso; non-parametric regression: trees, bagging, random forests; local regression and splines; generalized additive models; support vector machines; k-means and hierarchical clustering; principal components analysis.
py_viola_jones
abhishekiitm.github.io
age-estimator-bot
Rasa powered Facebook messenger bot that estimates age given facial image
algorithms
Implementations of different data structures, algorithms and programming problems
algorithms-1
Minimal examples of data structures and algorithms in Python
abhishekiitm's Repositories
abhishekiitm/abhishekiitm.github.io
abhishekiitm/DATA_557_Applied_Statistics_and_Experimental_Design
Applied Statistics and Experimental Design
abhishekiitm/CSED_514_Project_Distributed_Training_using_PyTorch
abhishekiitm/py_viola_jones
abhishekiitm/drill_bit_size_predictor
abhishekiitm/CSE_D_516_Project
Spark for image processing and feature extraction using CNN
abhishekiitm/data-512-project_part1
abhishekiitm/data-512-homework_2
abhishekiitm/data-512-homework_1
abhishekiitm/DATA_558_Statistical_Machine_Learning
Bias-variance trade-off; training versus test error; overfitting; cross-validation; subset selection methods; regularized approaches for linear/logistic regression: ridge and lasso; non-parametric regression: trees, bagging, random forests; local regression and splines; generalized additive models; support vector machines; k-means and hierarchical clustering; principal components analysis.
abhishekiitm/CSE_546_Machine_Learning
Explores methods for designing systems that learn from data and improve with experience. Supervised learning and predictive modeling; decision trees, rule induction, nearest neighbors, Bayesian methods, neural networks, support vector machines, and model ensembles. Unsupervised learning and clustering.
abhishekiitm/CSE_573_Artificial_Intelligence_I
Introduction to computational models of thought and construction of intelligent information systems. Topics include search algorithms, data dependencies and truth-maintenance systems, approaches to knowledge representation, automated deduction, reasoning under uncertainty, and machine learning.
abhishekiitm/CSE_D_514_Data_Management_for_Data_Science
Introduces database management systems and techniques that use such systems; data models, query languages, database tuning and optimization, data warehousing, and parallel processing
abhishekiitm/CSE_541_Interactive_Learning
Topics covered: Multi-armed Bandits, Linear Bandits, Contextual bandits, Markov Decision Processes
abhishekiitm/algorithms-1
Minimal examples of data structures and algorithms in Python
abhishekiitm/google_foobar
abhishekiitm/age-estimator-bot
Rasa powered Facebook messenger bot that estimates age given facial image
abhishekiitm/project_euler
abhishekiitm/simple_bst
Simple binary search tree implementation.
abhishekiitm/DATA_556_Introduction_to_Probability_and_Statistics
Scripts/simultations from the course DATA 556 - Introduction to Probability and Statistics
abhishekiitm/INFO_443_Software_Architecture_for_Information_Systems
Assignment implementations for course INFO 443
abhishekiitm/duuit-app
abhishekiitm/test_app
Test app to practice CI/CD concepts
abhishekiitm/CS224n-Resource
CS224n Assignment attempted solutions
abhishekiitm/algorithms
Implementations of different data structures, algorithms and programming problems
abhishekiitm/coursera_ml_python
abhishekiitm/informed-haar
Informed Haar-like Features Improve Pedestrian Detection by Zhang et al
abhishekiitm/elevator-simulation
Simulation of an elevator using Python.
abhishekiitm/django-debug-toolbar
A configurable set of panels that display various debug information about the current request/response.