anborde

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

PID-Controller

Behavioural-Cloning

Detecting-Lanes

A project to detect driving lanes in image and video with the help of opencv library

Detecting-Lanes-Advanced

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

fullstack-nanodegree-vm

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

miniflow

A library that demonstrates training of data using stochastic gradient descent method

Path-Planning

Creating a path trajectory for our Self Driving Car to ride across a busy Highway

Semantic-Segmentation

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

Traffic-Sign-Classifier

Unscented-Kalman-Filters

Using Unscented Kalman Filters to Fuse the Measurements Recorded by LIDAR and RADAR sensors of a Self Driving Car