Discover @mrinalmayank7 Open Source projects

Mrinal Mayank (@mrinalmayank7)

mrinalmayank7

Stars
37
Global Rank 421,862 (Top 15 %)
Followers 7
Following 10
Registered over 4 years ago
Most used languages

Python
28.6 %

Jupyter Notebook
28.6 %

Java
14.3 %

HTML
14.3 %

C++
14.3 %
Location 🇮🇳 India
Country Total Rank 15,598
Country Ranking

C++
3,611

Jupyter Notebook
5,279

Python
6,291

HTML
6,768

Java
9,544

datascience

Zomato Data Visualization with Streamlit.The project include visualization of 9000+ data with 7 functional tools to visualize dataset .Streamlit Framework is combined with data visualization tools like Pandas, Plotly , Altair, Pydeck etc. to provide a dynamic interface to analyze data.

terrorism-analysis-dashboard

Data Science Model Framework : Rewinding Terrorist Events since 1970. It includes 5 Modules with Folium , Restful API & Data manipulation in Python (Pandas , Matplotlib , Seaborn ,Plotly). Provide Analysis of 900+ attacks with the implementation of 10 functional tools (Static + Dynamic) to analyze data.

Jupyter Notebook

data_structures

This Repository contains the core concepts and implementation of Data Structures & Algorithms which include arrays, linked list, queues , stacks ,binary trees, BST, AVL Trees, sorting techniques and general operations

nosh.beta.version

Full Stack Cloud Application , About - Django & python is utilized at the backend following HTML , CSS , Javascript in the front-end. Deployed with heroku & cloud storage is served by AWS S3 bucket. Fully Dynamic with unlimited pages and stands as an industry level prototype with automated mail , user auth. , call to action , quick search , user services , PBKDF2 encryption and multipurpose end user experience

python-programming

This repo contains the general concepts , code snippets , topic-wise problems & solutions of python-programming.

Java-Programming

This repo contains the general concepts , code snippets , topic-wise problems & solutions of Java OOP .Topics covered - Access Modifiers , Classes & objects , Exception Handling , Inheritance , Interfaces , File Handling , Overloading & Over riding ,Serialization.

mrinalmayank7

machine_learning_models

This repository consist of various machine learning models along with the dataset. The models are trained with widely used ML algorithms like Gradient Boost , Random Forest etc. Pickle is used to serialize ML algorithms for predictions or availing it for the server use.

Jupyter Notebook