Pinned Repositories
AUTOMATED-HOME-FINANCING
This project is focused on finding an elaborate decision policy for the Customer Service Representative (CSR) department of a Home Financing company, which can be adopted by the CSR in the CSR-customer interactions and will result in maximum profit for the company. The company under study in this project is Dream Home Financing, it offers loan packages to customers who are looking for loans in order to buy, build or repair their homes. The analyst will use old data from company’s database and determine whether the CSR-customer interaction will be successful or not, and then they will define a policy based on the values and probabilities of uncertain variables which are associated with the calculation of revenue generated by the company over the loan term and it’s Net Present Value (NPV). The values of these uncertain variables may change from customer to customer but in order to define a decision policy, they are modelled into probability distribution using historical data from previous CSR-customer interactions.
Automated-Shadow-and-Sun-Detection
Chipsee-code-fles-backup
Controller-Design-for-Rotary-Inverted-Pendulumn
KVS_Tech
NLP-SentimentAnalysis_AmazonReviews
The best businesses understand the sentiment of their customers — what people are saying, how they’re saying it, and what they mean. Amazon is one of the pioneer companies who gave significant importance to user sentiments. It all started with “Dell Hell” case of laptop manufacturing company Dell. Customer sentiment can be found in tweets, comments, reviews, or other places where people mention your brand. Sentiment Analysis is the domain of understanding these emotions with software, and it’s a must-understand for developers and business leaders in a modern workplace. The aim of this project to detect sentiments of the Amazon users.
Using-Convolution-Neural-Network-for-Image-Classification
An implementation of Transfer Learning to obtain excellent results
Voice-Controlled-DC-MOTOR-CAR
Computational-Modelling-MOD510
MuhammadUsama-afk's Repositories
MuhammadUsama-afk/KVS_Tech
MuhammadUsama-afk/Chipsee-code-fles-backup
MuhammadUsama-afk/Controller-Design-for-Rotary-Inverted-Pendulumn
MuhammadUsama-afk/Voice-Controlled-DC-MOTOR-CAR
MuhammadUsama-afk/Using-Convolution-Neural-Network-for-Image-Classification
An implementation of Transfer Learning to obtain excellent results
MuhammadUsama-afk/Automated-Shadow-and-Sun-Detection
MuhammadUsama-afk/AUTOMATED-HOME-FINANCING
This project is focused on finding an elaborate decision policy for the Customer Service Representative (CSR) department of a Home Financing company, which can be adopted by the CSR in the CSR-customer interactions and will result in maximum profit for the company. The company under study in this project is Dream Home Financing, it offers loan packages to customers who are looking for loans in order to buy, build or repair their homes. The analyst will use old data from company’s database and determine whether the CSR-customer interaction will be successful or not, and then they will define a policy based on the values and probabilities of uncertain variables which are associated with the calculation of revenue generated by the company over the loan term and it’s Net Present Value (NPV). The values of these uncertain variables may change from customer to customer but in order to define a decision policy, they are modelled into probability distribution using historical data from previous CSR-customer interactions.
MuhammadUsama-afk/NLP-SentimentAnalysis_AmazonReviews
The best businesses understand the sentiment of their customers — what people are saying, how they’re saying it, and what they mean. Amazon is one of the pioneer companies who gave significant importance to user sentiments. It all started with “Dell Hell” case of laptop manufacturing company Dell. Customer sentiment can be found in tweets, comments, reviews, or other places where people mention your brand. Sentiment Analysis is the domain of understanding these emotions with software, and it’s a must-understand for developers and business leaders in a modern workplace. The aim of this project to detect sentiments of the Amazon users.