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Reem Aljaber's Projects

analyze-a-b-test---practical-statistics icon analyze-a-b-test---practical-statistics

For this project, I have been working to understand the results of an A/B test run by an e-commerce website. The company has developed a new web page in order to try and increase the number of users who "convert," meaning the number of users who decide to pay for the company's product. My goal was to work through the notebook to help the company understand if they should implement this new page, keep the old page, or perhaps run the experiment longer to make their decision.

bikeshare icon bikeshare

GitHub project (Project 3) repository for PDSND

communicate_data_findings icon communicate_data_findings

for this project, i worked on a dataset that has 113,937 loans with 81 features. Most variables are numeric and categorical in nature, I have performed an exploratory data analysis using python and its libraries, then I have created a presentation with explanatory plots that conveys my findings.

data-wrangling-and-analyzing icon data-wrangling-and-analyzing

Real-world data rarely comes clean. I have used Python and its libraries, I have gathered data from a variety of sources and in a variety of formats, assessed its quality and tidiness, then cleaned it. I have documented my wrangling efforts in a Jupyter Notebook, plus showcase them through analyses and visualizations using Python (and its libraries) and/or SQL.

investigate-a-dataset icon investigate-a-dataset

In this project, I have analyzed a dataset and then communicated my findings about it, I have used the Python libraries NumPy, pandas, and Matplotlib to make my analysis.

lighthouse icon lighthouse

Automated auditing, performance metrics, and best practices for the web.

machinelearning-parkinsons_audio_diagnosis icon machinelearning-parkinsons_audio_diagnosis

creates ML model to diagnose parkinsons based on sustain vowel phonation audio clip. Using Parselmouth, extracts audio data from inputted audio clip and determines parkinson's diagnosis of user. (audio is sustained vowel phonation). uses audio data from (Max A. Little, Patrick E. McSharry, Eric J. Hunter, Lorraine O. Ramig (2008), 'Suitability of dysphonia measurements for telemonitoring of Parkinson's disease', IEEE Transactions on Biomedical Engineering)

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