This project explores the relationship between Cerebrovascular accident (CVA) and lifestyle factors. Through a thorough exploratory data analyses,
including heatmaps, bar charts, and pie charts, the relationship between these two variables are identified.
Machine learning library scikit learn is used and Numpy and Pandas are used for Data processing.
For Visualization, libraries such as matplotlib and seaborn are used.
The prediction percentage is 94% and the output is presented in a csv file within the code.
The Loan Approval dataset comprises details of applicants seeking property loans. Factors such as applicant
income, loan amount, and credit history influence the bank's decision on loan approval. In this project,
the aim is to identify the factors and to develop a robust Machine Learning Model capable of
automating loan approval outcomes.
Explore the Snap Carwash Wollongong Sentiment Analysis Project! We've gathered all Google review data,
meticulously cleaned it, and harnessed the power of natural language processing and machine learning libraries
to unveil customer opinions, feedback, and the overall sentiment towards the business.
Delve into the intricacies of sentiment scores in the attached PDF for a comprehensive exploration.
This project investigates the correlation between sleep disorders and a range of lifestyle factors.
Through detailed exploratory data analyses, including heatmaps, bar charts, and pie charts,
the relationship between these two variables is thoroughly examined.
The predictive modeling employs a random forest algorithm to forecast the occurrence of sleep
disorders based on varying lifestyle patterns.
The accuracy is 96% and the output is presented in a csv file within the code
This project embarks on a deep dive into the dynamic landscape of data analytics job opportunities within the
Australian job market, based on a comprehensive dataset comprising 2000 profiles collected from Kaggle.
The project aims to unveil pivotal insights across four key dimensions,
offering both aspiring data analysts and industry stakeholders invaluable knowledge.
Tableau Vizzes.