About Me
Fresh graduate student with management major who gets attracted to data science. Learning management in my college makes me realize that every aspect of our everyday life, especially business will involve data in it. When we can understand โwhat isโ that data carries, we have an advantage. So, I am learning data science from every source I can get. You are watching my story to be a great data scientist.
Muhammad Abiansyah - Central Java, Indonesia | Professional Profile | LinkedIn
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Projects
Data Science Career Acceleration by Bitlabs October 2021
- Notes, materials, and notebooks on Data Science Career Acceleration batch Midoriya Izuku by Bitlabs Academy.
GitHub - abiansyahn/dsca-midoriya-izuku: Notes and Materials on DSCA by Bitlabs Academy
Customers_Personality_Analysis November 2021
- In this project, we are going to do some EDA and visualization using Google Data Studio. https://datastudio.google.com/u/0/reporting/8dd76b24-4671-4ab5-9c40-ca3a1de5ae53/page/iUcgC. Using python library numpy, pandas, matplolib.pyplot, seaborn. Data preparation like creating additional columns, removing useless columns, removing empty rows, and removing outliers. We do some correlation analysis, and some segmentation to know customers spending on company products.
GitHub - abiansyahn/Customers_Personality_Analysis: In this project, we are going to do some data preparation and analysis then we do soe visualization using Google Data Studio
Netflix_or_Disney_Data_Analysis November 2021
GitHub - abiansyahn/Netflix_or_Disney_Data_Analysis: This is a notebook of my writing that i've post in medium. Feel free to visit https://medium.com/@abiansyahn/what-to-choose-for-movie-lovers-disney-or-netflix-41f1ca2e3ff2
Disaster_Response_Message_Classification December 2021
- Disaster Response Message Classification is a supervised machine learning model used to classify text data. Aims to provide a response related to the information received from the text related to the classification of disaster assistance needed, so that the relevant natural disaster management organization can provide assistance according to the needs at the location. We do some text cleaning, data text preparation like tokenizing, and modeling for multiple-class classification. We use libraries pandas, numpy, matplotplib.pyploy, scikit-learn.
GitHub - abiansyahn/Disaster_Response_Message_Classification: Disaster Response Message Classification is a supervised machine learning model used to classify text data. Aims to provide a response related to the information received from the text related to the classification of disaster assistance needed, so that the relevant natural disaster management organization can provide assistance according to the needs at the location.