ivan-sepulveda

3D-EEDF-Through-MonteCarlo

algorithms

Djjkstra's, Binary Search, BFS, DFS, etc.

atm

CorrelateSocialMediaAndStocks

I seek to find a correlation between the social media presence of clothing retailers and the patterns of their stock price movements.

curriculum-vitae

daily_coding_problem

Solving problems by Ales Miller and Lawrence Wu. First I try my own solution, but if theirs is better, I try to optimize it. Even if there's no room for further optimization, I make sure I understand their solution as is and walk through the code.

did-stock-beat-s-and-p

Using various classification methods, I sought to determine the most relevant variables in a stock’s performance; securities were evaluated in a binary manner to reflect if they had surpassed the Standard and Poor 500’s (S&P-500) performance for the equivalent time period.

ivan-sepulveda.github.io

Website portfolio of all my computer science, data science, finance, and physics accomplishments. Built using open source tools.

job_postings_webscraper

Scrapes listings of lever.co and greenhouse.io for relevant open positions using keywords

predict-ad-click

Final accuracy: 97.1% The goal of the project was to predict who is likely going to click on the Ad on a website based on the features of a user. Following are the features involved in this dataset which is obtained from Kaggle.

ivan-sepulveda/3D-EEDF-Through-MonteCarlo

ivan-sepulveda/job_postings_webscraper

Scrapes listings of lever.co and greenhouse.io for relevant open positions using keywords

ivan-sepulveda/algorithms

Djjkstra's, Binary Search, BFS, DFS, etc.

ivan-sepulveda/atm

ivan-sepulveda/curriculum-vitae

ivan-sepulveda/daily_coding_problem

Solving problems by Ales Miller and Lawrence Wu. First I try my own solution, but if theirs is better, I try to optimize it. Even if there's no room for further optimization, I make sure I understand their solution as is and walk through the code.

ivan-sepulveda/data-structures

ivan-sepulveda/did-stock-beat-s-and-p

Using various classification methods, I sought to determine the most relevant variables in a stock’s performance; securities were evaluated in a binary manner to reflect if they had surpassed the Standard and Poor 500’s (S&P-500) performance for the equivalent time period.

ivan-sepulveda/ds4a-first-git-repo

ivan-sepulveda/ivan-sepulveda.github.io

Website portfolio of all my computer science, data science, finance, and physics accomplishments. Built using open source tools.

ivan-sepulveda/predict-ad-click

Final accuracy: 97.1% The goal of the project was to predict who is likely going to click on the Ad on a website based on the features of a user. Following are the features involved in this dataset which is obtained from Kaggle.

ivan-sepulveda/FacialRecognition

ivan-sepulveda/fakerepo121

ivan-sepulveda/find-craigslist-python-gigs

I noticed that I was spending 5-10 minutes a day searching for Python related gigs on Craigslist across multiple cities. I also wanted to figure out AWS. Behold Python + Lambda + REST API + S3 with a pleasant user experience.

ivan-sepulveda/german-credit

In this project, customers' demographic and behavioral data is available and the aim is to predict the probability of default. The target variable is "class" which takes value as "Good" and "Bad". The aim is to build a credit risk scorecard (just a set of probability values) based on the sample data provided.

ivan-sepulveda/geron_hands_on_ml

ivan-sepulveda/intro-to-r

ivan-sepulveda/mit-0002f16

Coursework from John Guttag's MIT Course: Introduction To Computational Thinking And Data Science

ivan-sepulveda/mollys-notebooks

Notebooks from lessons with Molly McGuire

ivan-sepulveda/music-fourier-transforms

ivan-sepulveda/nlp-restaurant-reviews

97.1% Accuracy

ivan-sepulveda/prac-stats-4-data-scientists

Practicing Use cases from O'Reilly Book: Practical Statistics for Data Scientists

ivan-sepulveda/prometheus_insights

ivan-sepulveda/solutions-to-quantitative-questions

I answer questions from Heard on the Street: Quantitative Questions from Wall Street Job Interviews by Timothy Crack visually and mathematically.

ivan-sepulveda/spotify-rec-system

ivan-sepulveda/SupernovaeClassification

CNN adapted to time series for the Supernovae classification

ivan-sepulveda/technical-challenge

Technical challenge I completed for a bank recently. Questions and solutions uploaded with their permission.

ivan-sepulveda/titanic-survivors

For this class exercise, we used SVM to predict whether or not a passenger on the titanic survived based on features such as gender, age, children aboard, fare, etc. The model reached 78.58% accuracy.

ivan-sepulveda/uberjava

Java project that simulates Uber!

ivan-sepulveda/yolanda-population-displacement