Portfolio
In this portofolio section, I process raw data to present various data science projects, such as dashboards to machine learning. In addition, I really enjoy exploring various topics. You can see how I process data to turn it into valuable insights.
What data says about crime in LA
Many people wonder whether crime in a particular area is improving or worsening. On this occasion, I will present a report on crime in Los Angeles. The data provided comes from the Los Angeles Police Department (LAPD) and has been collected from 2020 to the present. This discussion will specifically focus on the years 2022 to 2023.
Sentiment analyst
Understanding user sentiment towards products, services, or content in this digital era is crucial for companies to make informed decisions and improve the overall user experience. I will introduce you to the concept of sentiment analysis and how machine learning can be used to extract and analyze sentiment from various data sources.
Covid-19 dashboard
Consolidates data from various sources to display key metrics such as confirmed cases, deaths, recoveries, testing rates, and vaccination progress through visualizations
EDA box office analyzing the financial impact of movie success
There are so many movies that have had great success like Titanic, we often wonder if the budget of filmmaking affects the success of a movie. On this occasion I will make a visualization that will illustrate the effect of budget on success in a movie.
Cancer detection
This portfolio presents a comprehensive overview of the development of machine learning models for cancer detection, covering the entire workflow from initial data exploration and preprocessing, through feature engineering and model training, to evaluation and analysis of model performance
“It’s fun to be able to process data from different perspectives”
Febrian Nur Alam