projects.ipynb
kernel idle

projects

# a collection of my work in data science, machine learning, and development.

In [1]:

df.tech_stack.unique()

Out [1]:

In [01]:

load_project("heartcare")

# a web-based application designed to monitor heart health and provide users with insights based on their heart rate data.

tech = ["next.js", "django", "ml"]

Out [01]: → opening repository_

In [02]:

load_project("customer creditworthiness prediction")

# evaluates customer creditworthiness to assist financial institutions in making informed lending decisions.

tech = ["python", "scikit-learn", "ml"]

Out [02]: → opening repository_

In [03]:

load_project("ml-powered property investment analysis")

# analyzes property investment opportunities in penang using market trends, rental yields, and predictive modeling.

tech = ["python", "ml", "analytics"]

Out [03]: → opening repository_

In [04]:

load_project("suicidal tweet detection")

# analyzes tweets to identify suicidal sentiments using nlp and machine learning techniques.

tech = ["python", "flask", "nlp"]

Out [04]: → opening repository_

In [05]:

load_project("mypredictc")

# identifies and visualizes covid-19 clusters across malaysia to support policy and public awareness.

tech = ["power bi", "analytics"]

Out [05]: → opening repository_

In [06]:

load_project("insurexpert")

# predicts insurance claim amounts using ml models based on age, bmi, smoking status, and other features.

tech = ["next.js", "python", "ml"]

Out [06]: → opening repository_