GithubHelp home page GithubHelp logo

šŸ‘‹ Hi, I'm Renee

  • šŸŒ± Iā€™m starting the PhD program (computer science) at Florida Atlantic University in Spring 2023
  • šŸ‘©ā€šŸŽ“ MS in Data Science and Analytics at Florida Atlantic University December 2022
  • šŸ‘©ā€šŸ’» Data Scientist Certificate from Practicum by Yandex (Thank you Women Who Code for the Scholarship!) April 2022
  • šŸ”Ž I'm looking for a full time remote job
  • šŸ“« How to reach me: [email protected] or https://www.linkedin.com/in/renee-raven/

Collection of programming assignments completed for Practicum's Data Scientist professional training program:

Project Name Notebook Description Dependencies Sprint Number
classifying_churn classifying_churn.ipynb Used machine learning and data balancing techniques to create a predictive model for churn producing an AUC-ROC higher than the target AUC-ROC (0.93 versus goal of > 0.88). NumPy, Pandas, matplotlib, seaborn, math, time, functools, re, IPython.display, sklearn, catboost, lightgbm, xgboost, random, sys 15 (final)
computer_vision computer_vision.ipynb Use supplied photos and starter code to build and test a regression model that predicts age (on a continuous scale) from a photo. Pandas, Seaborn, matplotlib, tensorflow, keras 14
ml_for_text ml_for_text.ipynb Train a model for classifying positive and negative reviews with a F1 score of at least 0.85. NumPy, Pandas, matplotlib, seaborn, re, math, tgdm 13
time_series time_series.ipynb Use historical data on taxi orders to predict peak hours using RMSE as the metric. NumPy, Pandas, matplotlib, sciPy, seaborn, time, math, statsmodels, sklearn, IPython, sys, catboost, lightgbm, xgboost 12
numerical_methods numerical_methods.ipynb Generate a model that predicts the value of a car based on historical data (such as trims, prices, milage, technical specs) NumPy, Pandas, matplotlib, seaborn, time, math, sklearn, random, sys, catboostregressor, decisiontree 11
linear_algebra linear_algebra.ipynb Use ML to categorize customers, identify customers likely to receive an insurance benefit, and use data masking. NumPy, Pandas, math, seaborn, matplotlib, sklearn, IPython, sys 10
ml_in_industry ml_in_industry.ipynb Find the ML model that best predicts the two target values given the predictor variables present for gold extraction from ore. NumPy, Pandas, math, seaborn, matplotlib, sklearn, random, sys 9
ml_in_business ml_in_business.ipynb Use machine learning and boostrapping to select a region with the highest profit margin given a selection of masked features. NumPy, Pandas, math, seaborn, matplotlib, sklearn, scipy, random, sys 8
supervised_ml supervised_ml.ipynb Predict customer churn for a bank. NumPy, Pandas, math, matplotlib, sklearn, random, sys 7
machine_learning machine_learning.ipynb Creat a ml model that recommends an appropriate plan based on data about the behavior of subscribers who've already switched (with accuracy > 75%) NumPy, Pandas, sklearn, sys 6
sql sql.ipynb Identify top neighborhoods in terms of drop-offs for a new ride sharming company. NumPy, Pandas, matplotlib, seaborn, scipy 5
hypothesis_testing hypothesis_testing.ipynb Preliminary analysis of platform, genre, and ESRB ratings to determine any patterns that influence sales. NumPy, Pandas, matplotlib, sciPy, seaborn 4
statistical_data_analysis statistical_data_analysis.ipynb Analysis of phone plans, revenue, and retetion to produce recommendations for the marketing team. NumPy, Pandas, matplotlib, sciPy 3
exploratory_data_analysis exploratory_data_analysis.ipynb Use EDA to study data collected over the last few years from online advertisements and determine which factors influence the price of a vehicle. NumPy, Pandas, matplotlib 2
credit_scoring 15_credit_scoring_sprint_1.ipynb Create a credit score for potential customers for a loan examining marital status and number of children as features. NumPy, Pandas 1

Authors

Renee Raven

License

This project is licensed under the MIT License - see the LICENSE file for details

Renee127's Projects

aima-python icon aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

classifying_churn icon classifying_churn

Data Analysis Project (03/2022): Final project for Practicum by Yandex Data Science Bootcamp. This project uses machine learning techniques to develop a predictive model of customer churn with AUC-ROC > 0.92.

data_science_bootcamp icon data_science_bootcamp

Collection of some programming assignments for the Practicum by Yandex Data Science Bootcamp.

database_design icon database_design

Database design (10/2021): A collection of diagrams, reports, and other documents related to database design. One personal project and one group project for school with SQL queries included.

dltfpt icon dltfpt

Deep Learning with TensorFlow, Keras, and PyTorch

fau_ms_projects icon fau_ms_projects

Various projects done for the courses in the MS program at Florida Atlantic University

flashcard icon flashcard

Flashcard using turtle and dictionary of GRE words.

napkinml icon napkinml

A tiny lib with pocket-sized implementations of machine learning models in NumPy, most of which will fit in a tweet.

notebooks icon notebooks

Notebooks using the Hugging Face libraries šŸ¤—

project_2_image_classifier icon project_2_image_classifier

This application trains a deep learning model on a dataset of different species of flowers. Once trained, predict.py predicts the flower name from an image along with the probability of that name.

python-scraping icon python-scraping

Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do

quick-portfolio icon quick-portfolio

Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.

sql_udacity_coursework icon sql_udacity_coursework

SQL Projects (May 2021): two completed projects for a Udacity SQL program. Deforestation_SQL_Udacity.pdf and Udiddit_SQL_Udacity.pdf

thinkstats2 icon thinkstats2

Text and supporting code for Think Stats, 2nd Edition

trlx-with-t5 icon trlx-with-t5

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    šŸ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. šŸ“ŠšŸ“ˆšŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ā¤ļø Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.