sulaihasubi

00-FileProcessing

bespoke-dataset-with-faker

Faker is a Python script that generates fake data. Faker is a Python package that helps you create fake data. It can generate all forms of data and is useful for creating realistic-looking datasets. We'll look at the ones that are most useful for customer demos, but the documentation lists all of the "providers" of bogus data in the library. We'll also use the Python numpy package, which allows us to build numeric fields (for example, sales) based on a distribution or select items at random from a list.

Content-Analyst

Content analysis is the study of documents and communication artifacts, which might be texts of various formats, pictures, audio, or video. Social scientists use content analysis to examine patterns in communication in a replicable and systematic manner

customer-trasanction-fraud-detection

Customer Transaction - Fraud Detection with Dataiku DSS by @sulaihasubi

insurance-claims-fraud-detection

💸 Developed an end-to-end Machine Learning Model with Dataiku DSS by @sulaihasubi

machine-learning-fundamentals-notebook

This notebook is use by @sulaihasubi to enhanced her skills in ML Fundamentals

Named-Entity-Recognition-spaCy

📖 This will be a complete end-to-end demonstration of the entire process, including both labeling and model training by @sulaihasubi

Person-Detection-and-Counting

👨🏻 To identify key regions of productivity based on Facial Recognition, People Counting and Duration (the time spent inside the designated regions) by @sulaihasubi

sulaihasubi.github.io

Sulaiha Subi Data Science Portfolio created by @sulaihasubi

tokenization-spaCy

🌶 A tokenizer for oil and gas documents @sulaihasubi

sulaihasubi/sulaihasubi.github.io

Sulaiha Subi Data Science Portfolio created by @sulaihasubi

sulaihasubi/customer-trasanction-fraud-detection

Customer Transaction - Fraud Detection with Dataiku DSS by @sulaihasubi

sulaihasubi/tokenization-spaCy

🌶 A tokenizer for oil and gas documents @sulaihasubi

sulaihasubi/insurance-claims-fraud-detection

💸 Developed an end-to-end Machine Learning Model with Dataiku DSS by @sulaihasubi

sulaihasubi/machine-learning-fundamentals-notebook

This notebook is use by @sulaihasubi to enhanced her skills in ML Fundamentals

sulaihasubi/00-FileProcessing

sulaihasubi/bespoke-dataset-with-faker

Faker is a Python script that generates fake data. Faker is a Python package that helps you create fake data. It can generate all forms of data and is useful for creating realistic-looking datasets. We'll look at the ones that are most useful for customer demos, but the documentation lists all of the "providers" of bogus data in the library. We'll also use the Python numpy package, which allows us to build numeric fields (for example, sales) based on a distribution or select items at random from a list.

sulaihasubi/Content-Analyst

Content analysis is the study of documents and communication artifacts, which might be texts of various formats, pictures, audio, or video. Social scientists use content analysis to examine patterns in communication in a replicable and systematic manner

sulaihasubi/daily-commit

This repository for educational purpose to motivate @sulaihasubi to have a daily commit at least one commit per day

sulaihasubi/Named-Entity-Recognition-spaCy

📖 This will be a complete end-to-end demonstration of the entire process, including both labeling and model training by @sulaihasubi

sulaihasubi/Person-Detection-and-Counting

👨🏻 To identify key regions of productivity based on Facial Recognition, People Counting and Duration (the time spent inside the designated regions) by @sulaihasubi

sulaihasubi/Face-Recognition

This project highlight the Face Recognition technique used to detect and recognize faces of individuals where it is involved in capturing people's faces from a web camera.

sulaihasubi/github-stats

Visualizing @sulaihasubi Github Stat for better look

sulaihasubi/intelliJ-idea-labs

sulaihasubi/Migrate-Data-to-DagsHub

Migrate data from Google Drive to DagsHub storage

sulaihasubi/pertekma-activity-monitoring

A proposed solution for PERTEKMA's advisors & committee members in managing their students' activities, approval, proposals, executions & tasks performances.

sulaihasubi/pokemon-classifier

Pokemon Classification using Java in IntelliJ IDEA

sulaihasubi/ssulaihasubi.github.io

sulaihasubi/sulaihasubi

Sulaiha Subi Portfolio

sulaihasubi/sulaihasubi-portfolio

Sulaiha Subi Portfolio

sulaihasubi/WriteCodeEveryDay

Pledge of #WriteCodeEveryDay by @sulaihasubi