Mohammed Silmi
@Mohammedsilmi9
About
Interested in data Analytics, feature engineering, predictive analysis and data modeling. I work with pandas, numpy and seaborn/matplotlib.
Skills & Technologies
Projects & Repositories
Recent public projects and repositories from this profile.
RandomForest_Classifier
Jupyter NotebookThis case study was designed to drive home the important role that data science plays in real-world situations like this pandemic. This case study uses the Random Forest Classifier and a dataset from the South Korean cases of COVID-19 provided on Kaggle to encourage research on this important topic. The goal of the case study is to build a Random Forest Classifier to predict the 'state' of the patient.
Mohammedsilmi9
Config files for my GitHub profile.
relax_challenge
Jupyter NotebookNo project description available.
DataAnalysis_InterviewChallenge
Jupyter NotebookNo project description available.
UsedCar-PriceEstimator
Jupyter NotebookCraigslist used car price estimator based on prevoius real owners listings
Time-Series-Investigation
Jupyter NotebookCowboy Cigarettes: A Time Series Investigation