chongjason914/forage-anz

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chongjason914/forage-anz

chongjason914

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Solution to Data at ANZ virtual internship on Forage

kaggle-titanic

Infamous Titanic survial prediction competition on Kaggle

Jupyter Notebook

pandas-tutorial

Beginner's introduction to the pandas library for data manipulation

Jupyter Notebook

scikit-learn-tutorial

Tutorial on how to perform feature encoding, feature scaling, and missing values imputation using the scikit-learn library

Jupyter Notebook

regular-expressions-regex

Regular expression concepts with code examples

Jupyter Notebook

seaborn-tutorial

Tutorial on how to use the seaborn library for data visualisation

Jupyter Notebook

house-prices-prediction

End-to-end ML project on house price prediction

Jupyter Notebook

feature-selection-dimensionality-reduction

Tutorial on how to select features for ML models

Jupyter Notebook

b1-workshop-apr22

Data cleaning and data visualisation workshop using Microsoft Excel and PowerBI

nlp-spam-classification

A classifier built using natural language processing which detects whether a given text is ham or spam

Jupyter Notebook

nba-web-scraping

Web scrape NBA player information from ESPN website using rvest package

Jupyter Notebook

time-series

Beginner's introduction to time series analysis and forecasting using R

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k-means-clustering

Cluster customers into groups based on their movie preferences by implementing the k-means algorithm in R

bagging-vs-boosting

Simple exercise to understand the similarities and differences between random forest and gradient boosting models

Jupyter Notebook