zoeyespinoza
Data Scientist. Coding, analyzing, and innovating in the data realm. Driven by a love for machine learning and efficient problem-solving.
San Francisco, CA
Pinned Repositories
Basic-Python-Yandex.Music
Study of a dataset with records on movies and shows, compared between two cities
Data_projects_TripleTen
Projects I worked on while attending the Data Science TripleTen bootcamp 2023-2024.
EDA_Instacart
Data Analysis of Instacart Customer Patterns
Gaming-Market-Analysis
Analysis involves examining the relationship between ESRB ratings and game sales, as well as other variables such as genre and platform, across 3 regions.
Linear-Algebra-ML-SureTomorrow
Enhancing Sure Tomorrow Insurance with Machine Learning
Optimizing-Profits-ML-Business
Enhancing Profitability in the Energy Sector: Leveraging Machine Learning and Business Metrics Oil Company
Precision-Model-Plan-Matcher
Megaline Subscriber Plan Recommendation: Precision Model for Subscriber Plan
Statistical-Data-Analysis-Megaline
Megaline Plan Matcher: Precision Model for Subscriber Plan Recommendation
Telecom-Churn-Prediction
The project focuses on creating a predictive model to tell which customers are likely to keep of discontinue their telecom operator's services.
Youtube-Statistical-Analysis
YouTube Engagement Analysis: Enhancing Content Strategy Through Data
zoeyespinoza's Repositories
zoeyespinoza/Youtube-Statistical-Analysis
YouTube Engagement Analysis: Enhancing Content Strategy Through Data
zoeyespinoza/Basic-Python-Yandex.Music
Study of a dataset with records on movies and shows, compared between two cities
zoeyespinoza/EDA_Instacart
Data Analysis of Instacart Customer Patterns
zoeyespinoza/Gaming-Market-Analysis
Analysis involves examining the relationship between ESRB ratings and game sales, as well as other variables such as genre and platform, across 3 regions.
zoeyespinoza/Linear-Algebra-ML-SureTomorrow
Enhancing Sure Tomorrow Insurance with Machine Learning
zoeyespinoza/Optimizing-Profits-ML-Business
Enhancing Profitability in the Energy Sector: Leveraging Machine Learning and Business Metrics Oil Company
zoeyespinoza/Precision-Model-Plan-Matcher
Megaline Subscriber Plan Recommendation: Precision Model for Subscriber Plan
zoeyespinoza/Predictive-Modeling-for-Gold-Optimization
Predictive Modeling for Gold Recovery Optimization in Heavy Industry
zoeyespinoza/Statistical-Data-Analysis-Megaline
Megaline Plan Matcher: Precision Model for Subscriber Plan Recommendation
zoeyespinoza/Supervised-Learning-Churn-Prediction
Supervised Learning for Customer Retention: Churn Prediction at Beta Bank
zoeyespinoza/Taxi-Trends-Data-Collection
Taxi Service Insights: Unveiling Ride Patterns, Demand Hotspots, and Weather Effects. Data Collection and Storage (SQL)
zoeyespinoza/Data_projects_TripleTen
Projects I worked on while attending the Data Science TripleTen bootcamp 2023-2024.
zoeyespinoza/Telecom-Churn-Prediction
The project focuses on creating a predictive model to tell which customers are likely to keep of discontinue their telecom operator's services.
zoeyespinoza/Adam-Algorithm
zoeyespinoza/BotDetection
Bot Detection for Accurate Survey Results
zoeyespinoza/Computer-Vision-Age-Verification-Supermarkets
Age Verification System for Good Seed Supermarkets, using Computer Vision to implement store policies
zoeyespinoza/GitHubPages
zoeyespinoza/HTMLWeekTwo
zoeyespinoza/ML-for-Texts-Detecting-Negative-Movie-Reviews
Sentiment Analysis in Classic Movie Reviews: Building a Predictive Model for The Film Union
zoeyespinoza/Numerical-Methods-Model-Training
Developing Vintage Value's Advanced Car Valuation App: Harnessing Historical Data to Drive Accurate and Swift Market Price Predictions for Used Cars
zoeyespinoza/numpy
The fundamental package for scientific computing with Python.
zoeyespinoza/Render_test1
zoeyespinoza/Sentiment-Analysis-IMBD
zoeyespinoza/Sprint4_project
zoeyespinoza/Time-Series-Predicting-Taxi-Orders
A Taxi Company aims to optimize its driver allocation during peak hours at airports. Utilizing historical data on taxi orders, developed a predictive model to forecast the number of taxi orders for the upcoming hour.
zoeyespinoza/WebScraping-using-yfinance
zoeyespinoza/Winter-Immersive-2015
Course Materials for our 2015 Creative Code Winter Immersive
zoeyespinoza/zoeyespinoza