Jigisha P.'s Projects
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.
Advertisement_Handling
Airline Passengers Forecasting
Auto Insurance Fraudulent Claim Prediction
This project automates the extraction of unstructured financial news from HTML into structured data using BeautifulSoup. The focus is on web scraping financial news for listed companies with the goal of creating a valuable, accessible resource for data-driven finance decisions.
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.
Automated Car Damage Classification for Insurance Claims
This a simple chatbot, similar to the one on the ChatGPT website. The context given is of being a US History Tutor
DataScience
DataSourcing_API
DataSourcing_GoogleBigQuery
DataSourcing_sqlite
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.
Default configuration for Le Wagon's students
EDA
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.
A deep convolutional neural network to perform facial recognition using Keras
Football_TeamFormation
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
A model that predicts whether an applicant will be able to repay a loan using historical data
My personal repository
MachineLearning
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.
Exploratory and statistical analysis with marketing data.
Match_Play
A model to predict the movie ratings
Movie_Recommender
Tutorial on Principal Component Analysis