STROKE PREDICTION USING MACHINE LEARNING
ANALYSIS ON SUICIDE RATE
This project involves analyzing Death rate across some countries using numpy, pandas, seaborn, matplotlib. The data was cleaned and Visualized using power BI to derive meaningful insights such as knowing the rate of increase and decrease across the countries between the years 1987-2016.
SUPER-MARKET ANALYSIS
This project involes analyzing the supermarket sales in a country names Myanmar,
which is one of the largest country in mainland Asia. The following objectives were achieved
1. The price fluctuation in some selected item across each city
2. The items on high demand that improve the market sales
3. The city with the highest income at that period of the year
Milk Quality Prediction
This project aims to develop an advanced algorithm that accurately predicts milk quality based on factors such as PH, Temperature, Taste, Odor, Fat, Turbidity, Color and Grade.
DATA SCIENCE SALARIES PREDICTION
This data science project focuses on predicting salaries for data science professionals using machine learning techniques to empower stakeholders with informed salary expectations and facilitate data-driven salary negotiations.