shaowngp
I'm a tech enthusiast. Though I'm currently working mainly as Sr. Solution Architect, I am keen to change my domain to AI/ML where I really feel charged up.
Dhaka, Bangladesh
Pinned Repositories
automatic_ticket_classification
We need to build a model that is able to classify customer complaints based on the products/services.
covid19-impact-on-digital-learning-learnplatform
Data_analysis 0n covid19 impact on digital learning learnplatform
graph_generation_from_csv_sent_mail
This python based project is related to generating graphs from CSV file & save them in image file to send as attachment through mail to multiple recipients.
melanoma_cancer_detection
To build a CNN based model which can accurately detect melanoma. Melanoma is a type of cancer that can be deadly if not detected early. It accounts for 75% of skin cancer deaths. A solution that can evaluate images and alert dermatologists about the presence of melanoma has the potential to reduce a lot of manual effort needed in diagnosis.
mytest
shaowngp
Config files for my GitHub profile.
telecom_churn
TicTacToe-Classicial_Reinforcement
In this assignment, I need to build an RL agent that learns to play Numerical Tic-Tac-Toe with odd numbers (the agent will always make the first move). I need to train my agent using Q-Learning. The environment is playing randomly with the agent, i.e. its strategy is to put an even number randomly in an empty cell. If your agent wins the game, it gets 10 points, if the environment wins, the agent loses 10 points. And if the game ends in a draw, it gets 0. Also, I want the agent to win in as few moves as possible, so for each move, it gets a -1 point.
shaowngp's Repositories
shaowngp/graph_generation_from_csv_sent_mail
This python based project is related to generating graphs from CSV file & save them in image file to send as attachment through mail to multiple recipients.
shaowngp/automatic_ticket_classification
We need to build a model that is able to classify customer complaints based on the products/services.
shaowngp/covid19-impact-on-digital-learning-learnplatform
Data_analysis 0n covid19 impact on digital learning learnplatform
shaowngp/melanoma_cancer_detection
To build a CNN based model which can accurately detect melanoma. Melanoma is a type of cancer that can be deadly if not detected early. It accounts for 75% of skin cancer deaths. A solution that can evaluate images and alert dermatologists about the presence of melanoma has the potential to reduce a lot of manual effort needed in diagnosis.
shaowngp/mytest
shaowngp/shaowngp
Config files for my GitHub profile.
shaowngp/telecom_churn
shaowngp/TicTacToe-Classicial_Reinforcement
In this assignment, I need to build an RL agent that learns to play Numerical Tic-Tac-Toe with odd numbers (the agent will always make the first move). I need to train my agent using Q-Learning. The environment is playing randomly with the agent, i.e. its strategy is to put an even number randomly in an empty cell. If your agent wins the game, it gets 10 points, if the environment wins, the agent loses 10 points. And if the game ends in a draw, it gets 0. Also, I want the agent to win in as few moves as possible, so for each move, it gets a -1 point.