priyankasett Goto Github PK
Name: Priyanka Sett
Type: User
Bio: PhD, Experimental High Energy Physics (PHENIX, BNL) BARC, Mumbai. Worked at IIT Bombay as Post Doctoral Fellow (ALICE, CERN). Machine Learning, AI enthusiast.
Location: Mumbai
Name: Priyanka Sett
Type: User
Bio: PhD, Experimental High Energy Physics (PHENIX, BNL) BARC, Mumbai. Worked at IIT Bombay as Post Doctoral Fellow (ALICE, CERN). Machine Learning, AI enthusiast.
Location: Mumbai
Using the Algerian forest fire dataset from UCI, EDA, regression, classification tasks have been performed.
In this project based on the data given we need to make a business decision
This is a binary classification problem. Given the data, one needs to predict that if a user is going to click an advertisement or not.
Boston house price prediction using Linear Regression.
Identifying rare event.
This project builds a 'Movie Recommendation System', using the tmdb5000 dataset. This project uses nltk library for the text analysis and Streamlit for deployment.
The aim of this work is to predict similar text data, given a text data. The text vectorization is done using CountVectorizer.
Given a person's data, the task is to predict that in which category the person's weight should fit in. This is a Multiclassification project.
The aim of this work is to predict number of instagram likes. The text vectorization is done using TF-IDF Vectorizer.
This repository contains examples of data aquisition from different json file and converting those file to csv. Along with that basic EDA using pandas library are done.
This repository contains different statistical methods for Hypothesis testing.
Summarising text data using NLTK and Gensim libraries
This is binary classification task using Titatnic dataset. DecisionTreeClassifier has been used to perform binary classification. Streamlit has been used for deployment purpose
This data is taken from Kaggle. Data exploration and basic recommendations are performed in this notebook
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An Open Source Machine Learning Framework for Everyone
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.