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Fawad Khan's Projects

cageo_2020_6 icon cageo_2020_6

This repository contains code used to generate all the results in the manuscript "GRANITE AND SHALE CLAY MAPPING IN SHEWA-SHAHBAZGARHI COMPLEX (PAKISTAN): APPLICATION OF DECORRELATION STRETCHING AND FEATURE ORIENTED PRINCIPAL COMPONENT ANALYSIS ON MULTISPECTRAL DATA".

cs-5640 icon cs-5640

Repository for code and notes related to CS-5640 Fall 2021 [Reinforcement Learning].

deeplearningspecialization_coursera icon deeplearningspecialization_coursera

# [Deep Learning Specialization on Coursera](https://www.coursera.org/specializations/deep-learning) **Master Deep Learning, and Break into AI** Instructor: [Andrew Ng](http://www.andrewng.org/) This repo contains all my work for this specialization. All the code base, quiz questions, screenshot, and images, are taken from, unless specified, [Deep Learning Specialization on Coursera](https://www.coursera.org/specializations/deep-learning). ## Goals - Learn the foundations of Deep Learning - Understand how to build neural networks - Learn how to lead successful machine learning projects - Learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. - Work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. - Practice all these ideas in Python and in TensorFlow.

erss_journal_rp_data icon erss_journal_rp_data

This repository contains all the data used in Research submitted for publication in the Journal of Energy Research and Social Sciences. It is linked to the paper titled, "Feasibility Analysis of Micro Hydro Power Projects from a socio-energy perspective using Machine Learning Techniques"

granite_manuscript_2021 icon granite_manuscript_2021

This repo contains data and code used in journal manuscript titled, "A fusion of Feature-oriented Principal Components of multispectral data to differentiate between Marble and Granite exposures in northern Pakistan"

machinelearningcourse_stanford_coursera icon machinelearningcourse_stanford_coursera

These are some programming exercise of Stanford Machine Learning Online Course. The algorithms were coded in python or matlab including: 1.Anomaly Detection and Recommender Systems 2.Decision Trees&Boosting 3.HMM 4.K-Means Clustering and PCA 5.Linear Regression 6.Logistic Regression (matlab/octave) 7.Multi-class classification and neural networks 8.Neural network learning 9.Regularized linear regression and bias-variance 10.Support Vector Machiness

manuscript_2020_limestone icon manuscript_2020_limestone

This repository contains code used to generate all the results in the manuscript titled, "Applications of Machine learning Algorithms for Limestone Mapping using ASTER – L1T, Sentinel – 2 MSI and Landsat – 8 OLI Data".

mining_student_behavior icon mining_student_behavior

This repo contains all the code used for the study, "Mining Student Behavior Patterns for Enhanced Performance Prediction in Introductory Programming: Keystroke Analysis and Ensemble Strategies"

pirank icon pirank

PiRank: Learning to Rank via Differentiable Sorting

rl_quadcopter icon rl_quadcopter

This repository contains my project for reinforcement learning course I took for my Ph.D. at Utah State University. The objective was to solve the quadcopter navigation and stabilization policy using actor-critic approach (A2C and A3C).

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