Discover mrinalmayank7/machine_learning_models Open Source project

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Created over 3 years ago
Updated over 2 years ago

mrinalmayank7

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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.

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.

Python

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

C++

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

HTML