Skip to content
View NaynaJahan's full-sized avatar

Block or report NaynaJahan

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
NaynaJahan/README.md

Hi there! I'm Nayna 👋

  • 🔭 I’m currently working on projects using JavaScript frameworks and libraries
  • 🌱 I’m learning with help from github.com/uhub/awesome-javascript
  • ⚡ I’m interested in Artificial Intelligence, Data Science, Deep Learning
  • 👯 I’m looking to collaborate on projects utilizing MERN Stack
  • 📫 How to reach me: [email protected]

Pinned Loading

  1. Slack_Bot Slack_Bot Public

    Slack Bot using Python that can send messages, handle events and slash commands.

    Python

  2. Covid-19-information Covid-19-information Public

    Covid 19 case updates information of Bangladesh using flutter and API

    Dart

  3. Flappy-Birds-Ai Flappy-Birds-Ai Public

    Flappy Birds AI using NEAT

    Python

  4. Case-Study-of-Breast-Cancer-Detection-using-Logistic-Regression Case-Study-of-Breast-Cancer-Detection-using-Logistic-Regression Public

    A case study for Breast Cancer Detection Using Logistic Regression, which is a classification model in Machine Learning.

    Jupyter Notebook 1

  5. Identifying-best-deals-recommended-paired-products-using-Association-Rule-Learning-Apriori Identifying-best-deals-recommended-paired-products-using-Association-Rule-Learning-Apriori Public

    Identifying best deals (recommended pairs for market optimization deals to optimize profits) using Apriori model which is an Association Rule Learning model.

    Jupyter Notebook 2 1

  6. K_Means_clustering-to-divide-customers-in-different-groups-based-on-their-information K_Means_clustering-to-divide-customers-in-different-groups-based-on-their-information Public

    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…

    Jupyter Notebook