Aditya Harsh's repositories
MachineLearning-boston-housing
Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools, Identified the best price that a client can sell their house utilizing machine learning.
vehicle_detection_haarcascades
Vehicle Detection by Haar Cascades with OpenCV
Student-Intervention-System
Investigated the factors that affect a student's performance in high school. Trained and tested several supervised machine learning models on a given dataset to predict how likely a student is to pass. Selected the best model based on relative accuracy and efficiency.
cracking-the-coding-interview
Solution for the book Cracking the Coding Interview
MachineLearning-customer-segments
Reviewed unstructured data to understand the patterns and natural categories that the data fits into. Used multiple algorithms and both empirically and theoretically compared and contrasted their results. Made predictions about the natural categories of multiple types in a dataset, then checked these predictions against the result of unsupervised analysis.
MachineLearning-smartcar
Used Q-Learning to train a smart cab to drive around idealistic city roads on its own.
MachineLearning-stock-prices
Predicting directional movement of stock prices
sensor-fusion-object-tracking-ekf
LiDAR and camera fusion to track vehicles over time.
adityasiwan.github.io
My Personal Website
adityasiwan.github.io-archive
My Personal Website
aima-pseudocode
Pseudocode descriptions of the algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
benchmarks
Machine Learning Benchmark Scripts
coding-interview-university
A complete computer science study plan to become a software engineer.
cryptonote
CryptoNote protocol implementation. This is the reference repository for starting a new CryptoNote currency. See /src/cryptonote_config.h
Deeplearning-notmnist
A sample of the notMNIST dataset in MNIST format so you can drop new data into your existing MNIST neural nets.
face-recognition
Face Recognition implementation through eigenfaces.
InstaWeather
A Weather app
MachineLearning-titanic-survival-exploration
Decision functions that attempt to predict survival outcomes from the 1912 Titanic disaster.
text_extraction
Extraction of useful information such as text from documents captured from smart-phones
TSP-ACO
Ant Colony Optimization for the Travelling Salesperson Problem
zeroclickinfo-goodies
DuckDuckGo Instant Answers based on Perl & JavaScript