Aditya Borde's repositories
Market-Portfolio-Optimization
The repository consists of the program which studies data of selected stocks of NIFTY for the period of 6 months and provides the optimized allocation of capital to the stocks
deep-q-learning
Based on Deepmind's paper titled 'Human-level control through deep reinforcement learning' the model in the repo solves the Mountain-Car problem by applying Deep Q Learning
Detecting-Lanes
A project to detect driving lanes in image and video with the help of opencv library
digit-classifier-cloudml-engine
A Image Based Classifier Using Google Cloud ML and Mnist Data
Extended-Kalman-Filters
Extended Kalman Filters effectively used to fuse the sensor measurements of LASER and RADAR sensors of a Self Driving Car
home-prices
Using Regression with Outliers Removal to Predict Home Prices Based On Various Factors
Kidnapped-Vehicle-Particle-Filter
Using particle filter to localise the vehicle based on map measurements and sensor measurments
Path-Planning
Creating a path trajectory for our Self Driving Car to ride across a busy Highway
stock_market_reinforcement_learning
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
titanic-machine-learning-from-disaster
Solving the infamous machine learning problem about the Titanic accident
Unscented-Kalman-Filters
Using Unscented Kalman Filters to Fuse the Measurements Recorded by LIDAR and RADAR sensors of a Self Driving Car