adityasiwan
Product Engineer @conversenow | Senior Mentor @udacity | Community Member @duckduckgo
ConverseNow.aiBengaluru | India
Pinned Repositories
cracking-the-coding-interview
Solution for the book Cracking the Coding Interview
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.
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
multi-label-classification
sensor-fusion-object-tracking-ekf
LiDAR and camera fusion to track vehicles over time.
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.
vehicle_detection_haarcascades
Vehicle Detection by Haar Cascades with OpenCV
zeroclickinfo-goodies
DuckDuckGo Instant Answers based on Perl & JavaScript
adityasiwan's Repositories
adityasiwan/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.
adityasiwan/vehicle_detection_haarcascades
Vehicle Detection by Haar Cascades with OpenCV
adityasiwan/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.
adityasiwan/cracking-the-coding-interview
Solution for the book Cracking the Coding Interview
adityasiwan/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.
adityasiwan/MachineLearning-smartcar
Used Q-Learning to train a smart cab to drive around idealistic city roads on its own.
adityasiwan/MachineLearning-stock-prices
Predicting directional movement of stock prices
adityasiwan/multi-label-classification
adityasiwan/sensor-fusion-object-tracking-ekf
LiDAR and camera fusion to track vehicles over time.
adityasiwan/system-integration
adityasiwan/adityasiwan.github.io
My Personal Website
adityasiwan/adityasiwan.github.io-archive
My Personal Website
adityasiwan/aima-pseudocode
Pseudocode descriptions of the algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
adityasiwan/aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
adityasiwan/benchmarks
Machine Learning Benchmark Scripts
adityasiwan/coding-interview-university
A complete computer science study plan to become a software engineer.
adityasiwan/cryptonote
CryptoNote protocol implementation. This is the reference repository for starting a new CryptoNote currency. See /src/cryptonote_config.h
adityasiwan/datasets
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
adityasiwan/Deeplearning-notmnist
A sample of the notMNIST dataset in MNIST format so you can drop new data into your existing MNIST neural nets.
adityasiwan/face-recognition
Face Recognition implementation through eigenfaces.
adityasiwan/flask-up-scale-image-app
adityasiwan/hacker-rank-30day
adityasiwan/InstaWeather
A Weather app
adityasiwan/MachineLearning-titanic-survival-exploration
Decision functions that attempt to predict survival outcomes from the 1912 Titanic disaster.
adityasiwan/Neural-Network-Prediction
adityasiwan/Object-Detection-in-an-Urban-Environment
adityasiwan/sensor-fusion_object-tracking
adityasiwan/text_extraction
Extraction of useful information such as text from documents captured from smart-phones
adityasiwan/TSP-ACO
Ant Colony Optimization for the Travelling Salesperson Problem
adityasiwan/zeroclickinfo-goodies
DuckDuckGo Instant Answers based on Perl & JavaScript