PriyankaSett

Algeria-Forest-Fire

Using the Algerian forest fire dataset from UCI, EDA, regression, classification tasks have been performed.

app_or_website

In this project based on the data given we need to make a business decision

click_through_rates

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.

hello-world

House_price_prediction

Boston house price prediction using Linear Regression.

Identifying_gamma_hadron_magic_dataset

Identifying rare event.

ineuron_assignments

List-of-Publication

movie_recommendation

This project builds a 'Movie Recommendation System', using the tmdb5000 dataset. This project uses nltk library for the text analysis and Streamlit for deployment.

predicting_instagram_likes

The aim of this work is to predict number of instagram likes. The text vectorization is done using TF-IDF Vectorizer.

PriyankaSett/predicting_instagram_likes

The aim of this work is to predict number of instagram likes. The text vectorization is done using TF-IDF Vectorizer.

PriyankaSett/Algeria-Forest-Fire

Using the Algerian forest fire dataset from UCI, EDA, regression, classification tasks have been performed.

PriyankaSett/app_or_website

In this project based on the data given we need to make a business decision

PriyankaSett/click_through_rates

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.

PriyankaSett/hello-world

PriyankaSett/House_price_prediction

Boston house price prediction using Linear Regression.

PriyankaSett/Identifying_gamma_hadron_magic_dataset

Identifying rare event.

PriyankaSett/ineuron_assignments

PriyankaSett/List-of-Publication

PriyankaSett/movie_recommendation

This project builds a 'Movie Recommendation System', using the tmdb5000 dataset. This project uses nltk library for the text analysis and Streamlit for deployment.

PriyankaSett/Zomato_eda_basic_recommendations

This data is taken from Kaggle. Data exploration and basic recommendations are performed in this notebook

PriyankaSett/news_recommendation

The aim of this work is to predict similar text data, given a text data. The text vectorization is done using CountVectorizer.

PriyankaSett/obesity_multiclassification

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.

PriyankaSett/pptprogram

PriyankaSett/pythonproblems

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.

PriyankaSett/statisticsproblems

This repository contains different statistical methods for Hypothesis testing.

PriyankaSett/Textsummarizer

Summarising text data using NLTK and Gensim libraries

PriyankaSett/TitanicSurvival

This is binary classification task using Titatnic dataset. DecisionTreeClassifier has been used to perform binary classification. Streamlit has been used for deployment purpose