IBM Fictional Attrition Data
In this project, my partner and l analysed IBM dataset, to build a model that visualised and predicted attrition within their company employees.
IBM Fictional Attrition Data
Data Exploration in SQL
Data Exploration of COVID-19 Dataset in SQL Server.
Data Cleaning in SQL
In this project, l cleaned housing data in SQL Server.
Basic Tableau Explorartion of COVID-19 Data
This is a platform with my data exploration using tableau for visualisation.
Applied Statistics project
Logistic regression using R on Breact-cancer Data
This is a group project that my friend and l did using R to perfom a logistic regression model on breast cancer data from Mayo Clinic to predict the chances of either a malignant or benign cancer diagnosis.
Building a Sentiment analysis model
This project was built on using airline tweet data from Kaggle and applied Microsoft excel skills to group tweets into either positive or negative. I then used 80 percent of the data to create a traininng set of both separate positive and negative tweets. To evaluate the frequency of either positive or negative sentiments a pivot table was used.
End-to-End Machine learning Project
Racial profiling within the police departments of Texas.
This is a machine learning project where l created a model to evaluate the chances of different races to being arrested within Austin Texas. The project explored the different factors using the SVM model and random forest model to report the numerical and cross validation perfomance.
Neural Networks application project
CAPTCHA Images Data Set
This project in jupyter notebook with the use of tensorflow libraries to build a model using the CATCHA images data from kaggle to vreate a model to predict the characters within the image. We used both CNN algorithm and the random forest model to measure the pefomance of our model.