Pinned Repositories
Airline-Passengers-Forecasting
Airline Passengers Forecasting
Cardiovascular-Disease-Risk-Prediction
This project endeavors to develop an effective model for predicting the risk of heart attacks based on a thorough analysis of relevant factors. The insights gained from this analysis will contribute to a better understanding of cardiovascular health and risk factors.
ChatBot-Tutor
This a simple chatbot, similar to the one on the ChatGPT website. The context given is of being a US History Tutor
Detection-of-Lung-Infection
The objective of this project is to develop a model utilizing a convolutional neural network (CNN) for the classification of lung infections in individuals based on medical imagery.
EDA_NYC_311Service_
This project involves data analysis of NYC's 311 service requests to identify data patterns and visualize common complaint types. The analysis aims to inform improved service delivery and resource allocation.
Elevating-Facial-Recognition-Accuracy-using-CNN
A deep convolutional neural network to perform facial recognition using Keras
Marketing-Campaign
This project explores the marketing mix's four Ps (product, price, place, promotion) to understand their impact on customer acquisition. It leverages exploratory data analysis and hypothesis testing for insightful marketing strategies.
Question-Answering-with-Embedded-Context
In this project text embedding is used to convert a set of text information about start-ups into vectors. Then these vectors are used to add context to a query, assisting the completion model in answering a query.
Sentimental-Analysis-of-Amazon-Reviews
This project aims to build a strong sentiment analysis model for Amazon product reviews. It tackles class imbalance, uses diverse machine learning and deep learning approaches, and uncovers hidden customer sentiments, providing valuable insights.
Topic-Analysis-of-Review-Data
This project helps a mobile brand understand customer sentiment and key discussion topics by analyzing Amazon reviews. Using Machine learning, it predicts review ratings and uncovers emerging topics in customer feedback.
Jigisha-p's Repositories
Jigisha-p/Detection-of-Lung-Infection
The objective of this project is to develop a model utilizing a convolutional neural network (CNN) for the classification of lung infections in individuals based on medical imagery.
Jigisha-p/Question-Answering-with-Embedded-Context
In this project text embedding is used to convert a set of text information about start-ups into vectors. Then these vectors are used to add context to a query, assisting the completion model in answering a query.
Jigisha-p/Topic-Analysis-of-Review-Data
This project helps a mobile brand understand customer sentiment and key discussion topics by analyzing Amazon reviews. Using Machine learning, it predicts review ratings and uncovers emerging topics in customer feedback.
Jigisha-p/Airline-Passengers-Forecasting
Airline Passengers Forecasting
Jigisha-p/Cardiovascular-Disease-Risk-Prediction
This project endeavors to develop an effective model for predicting the risk of heart attacks based on a thorough analysis of relevant factors. The insights gained from this analysis will contribute to a better understanding of cardiovascular health and risk factors.
Jigisha-p/ChatBot-Tutor
This a simple chatbot, similar to the one on the ChatGPT website. The context given is of being a US History Tutor
Jigisha-p/EDA_NYC_311Service_
This project involves data analysis of NYC's 311 service requests to identify data patterns and visualize common complaint types. The analysis aims to inform improved service delivery and resource allocation.
Jigisha-p/Elevating-Facial-Recognition-Accuracy-using-CNN
A deep convolutional neural network to perform facial recognition using Keras
Jigisha-p/Marketing-Campaign
This project explores the marketing mix's four Ps (product, price, place, promotion) to understand their impact on customer acquisition. It leverages exploratory data analysis and hypothesis testing for insightful marketing strategies.
Jigisha-p/Sentimental-Analysis-of-Amazon-Reviews
This project aims to build a strong sentiment analysis model for Amazon product reviews. It tackles class imbalance, uses diverse machine learning and deep learning approaches, and uncovers hidden customer sentiments, providing valuable insights.
Jigisha-p/SQL-Free-Database-Interaction-via-Natural-Language
This project would allow a non-technical person to directly interact with a database and retrieve information without knowing SQL.
Jigisha-p/Topic-modeling-of-Audio-Review
Topic modelling of Audio Review
Jigisha-p/A-B-Testing-Mobile-Game---Cookie-Cat
This project involves an A/B test to evaluate the impact of moving the Cookie Cats' first gate from level 30 to level 40 on player retention after 1 day (retention_1) and 7 days (retention_7) following installation.
Jigisha-p/Auto-Insurance-Fraudulent-Claim-Prediction
Auto Insurance Fraudulent Claim Prediction
Jigisha-p/CarInsurance
Automated Car Damage Classification for Insurance Claims
Jigisha-p/DataSourcing_API
DataSourcing_API
Jigisha-p/DataSourcing_GoogleBigQuery
DataSourcing_GoogleBigQuery
Jigisha-p/EDA
EDA
Jigisha-p/EDA_NYC_311Service
EDA_NYC_311Service
Jigisha-p/Football_TeamFormation
Football_TeamFormation
Jigisha-p/generative-ai-for-beginners
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Jigisha-p/Home-Loan-Prediction
A model that predicts whether an applicant will be able to repay a loan using historical data
Jigisha-p/Jigisha-p
My personal repository
Jigisha-p/Lab_agile_planning
Jigisha-p/Match_Play
Match_Play
Jigisha-p/Movie-Rating-Prediction
A model to predict the movie ratings
Jigisha-p/Principal-Component-Analysis
Tutorial on Principal Component Analysis
Jigisha-p/Telco_Customer_Churn_Prediction
Customer Churn Prediction
Jigisha-p/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Jigisha-p/Twitter-Speech-Analysis-using-NLP
A model to identify hate speech (racist or sexist tweets) on Twitter