NaynaJahan's repositories
Identifying-best-deals-recommended-paired-products-using-Association-Rule-Learning-Apriori
Identifying best deals (recommended pairs for market optimization deals to optimize profits) using Apriori model which is an Association Rule Learning model.
Basic-Classification-on-existence-of-Bank-Customers-using-Artificial-Neural-Network-
Basic Classification on existence of Bank Customers using Artificial Neural Network depending on the customers' information of a bank. The output is 1 if the customer exited from the bank otherwise 0 if stayed.
Best-Ad-selection-to-optimize-CTR-using-Reinforcement-Learning-Thompson-Sampling-
Best Ad selection among many advertisements shown to different users/website viewer to optimize Click-through rate using Thompson Sampling - a reinforcement learning approach. As the customer navigates the website, they will suddenly get a pop-up ad, suggesting to them that they subscribe to the premium plan. For each customer browsing the website, only one of the nine strategies will be displayed. Then the user will choose, or not, to take action and subscribe to the premium plan. If the customer subscribes, the strategy is a success; otherwise, it is a failure. The more customers we do this with, the more feedback we collect, and the better idea we get of what the best strategy isThe data is taken through simulation and the best ad is shown using a histogram.
Case-Study-of-Breast-Cancer-Detection-using-Logistic-Regression
A case study for Breast Cancer Detection Using Logistic Regression, which is a classification model in Machine Learning.
Covid-19-information
Covid 19 case updates information of Bangladesh using flutter and API
ds_salary_project
Data science salary prediction of the data science project
Flappy-Birds-Ai
Flappy Birds AI using NEAT
K_Means_clustering-to-divide-customers-in-different-groups-based-on-their-information
Using K-Means clustering we will identify patterns within customers based on a depended variable that takes two dimensions(Annual income and Spending Score of the customer) and divide the customers in different groups/clusters. Elbow method is used to find the optimal number of clusters, where value of WCSS drops very slowly.
Slack_Bot
Slack Bot using Python that can send messages, handle events and slash commands.
Image-detection-between-Cat-and-Dog-using-Convolutional-Neural-Network
Image detection (between Cat and Dog) using Convolutional Neural Network usign library Tensorflow and Keras(Output 1 as dog and o as cat)
TicTacToe_Java
A TicTacToe game made manually with JAVA where computer chooses a certain position to play first and beats the opponent; in worst case the game is a draw.
TicTacToe_Python
A tic tac toe game manually made in python where Computer chooses a certain postion to play first and beats the opponent, in the worst case the game is a draw.
Workout-To-Do
Workout To-do is a web app using the MERN stack (MongoDB, Express, React & Node.js). I developed this project using React.js in its frontend where user can see their respective planned workouts' details. The backend is built using MongoDB and Node.js.