Pinned Repositories
05-simple-predictions
Day 5 - Simple Predictions: Regression and Statistical Model Building
Fall-Detection
Human Fall Detection from CCTV camera feed
image_processing_for_plant_disease
Image processing code for blob detection and feature extraction in MATLAB. Paper Reference: Detecting jute plant disease using image processing and machine learning. Find the full text here: http://ieeexplore.ieee.org/document/7873147/
ImageProcessing_Matlab_Code
存放matlab编写的图像处理相关算法代码及算法原理
Machine_learning_projects
Making predictions using logistic regression, naive Bayes, random forest, CNN, RNN and more
ML-Demand-Prediction
Machine Learning Model for Order Demand Prediction based on historical Order data - Built for Swiggy Hackathon 2018
NYC-Taxi-Demand-Predictor
Dynamic web application built in PHP to accurately visualize the prospects of NYC taxi demand for a location using Docker, Apache Zeppelin and a regression model that incorporates the interplay of local events and weather. With the help of this app, a cab driver could learn the prospects of a high demand zone anywhere in NY thus increase his profits and plan his schedule better by being at the right place at the right time.
OperationsPlanning
Vikings Division had experienced a loss of profit due to not meeting their demand on time (i.e., backorders) and maintaining high work-in-process (WIP) inventory resulting in long production times. This was due to many factors including inaccurate forecasting leading to incorrect production quantities of different types of products, running inappropriate lot sizes, and using no formal scheduling methodology. The objective of the project was to aid the Vikings Division in better planning their operations for the future. This can be achieved through establishing a formal method for forecasting the demand, planning the production based on BOM and capacity, and scheduling the production of the different product types. In essence, streamlining the overall operations at the Vikings Division in an effort to increase the chances of meeting the required product demand(s) on time.
rabiaghani63
Config files for my GitHub profile.
Robot-Arm-Kinematics
Forward and Inverse Kinematics
rabiaghani63's Repositories
rabiaghani63/ImageProcessing_Matlab_Code
存放matlab编写的图像处理相关算法代码及算法原理
rabiaghani63/05-simple-predictions
Day 5 - Simple Predictions: Regression and Statistical Model Building
rabiaghani63/Fall-Detection
Human Fall Detection from CCTV camera feed
rabiaghani63/image_processing_for_plant_disease
Image processing code for blob detection and feature extraction in MATLAB. Paper Reference: Detecting jute plant disease using image processing and machine learning. Find the full text here: http://ieeexplore.ieee.org/document/7873147/
rabiaghani63/Machine_learning_projects
Making predictions using logistic regression, naive Bayes, random forest, CNN, RNN and more
rabiaghani63/ML-Demand-Prediction
Machine Learning Model for Order Demand Prediction based on historical Order data - Built for Swiggy Hackathon 2018
rabiaghani63/NYC-Taxi-Demand-Predictor
Dynamic web application built in PHP to accurately visualize the prospects of NYC taxi demand for a location using Docker, Apache Zeppelin and a regression model that incorporates the interplay of local events and weather. With the help of this app, a cab driver could learn the prospects of a high demand zone anywhere in NY thus increase his profits and plan his schedule better by being at the right place at the right time.
rabiaghani63/OperationsPlanning
Vikings Division had experienced a loss of profit due to not meeting their demand on time (i.e., backorders) and maintaining high work-in-process (WIP) inventory resulting in long production times. This was due to many factors including inaccurate forecasting leading to incorrect production quantities of different types of products, running inappropriate lot sizes, and using no formal scheduling methodology. The objective of the project was to aid the Vikings Division in better planning their operations for the future. This can be achieved through establishing a formal method for forecasting the demand, planning the production based on BOM and capacity, and scheduling the production of the different product types. In essence, streamlining the overall operations at the Vikings Division in an effort to increase the chances of meeting the required product demand(s) on time.
rabiaghani63/rabiaghani63
Config files for my GitHub profile.
rabiaghani63/Robot-Arm-Kinematics
Forward and Inverse Kinematics
rabiaghani63/Vehicle-Detection-from-Images
MATLAB codes to detect vehicles from images