Pinned Repositories
b1-workshop-apr22
Data cleaning and data visualisation workshop using Microsoft Excel and PowerBI
bagging-vs-boosting
Simple exercise to understand the similarities and differences between random forest and gradient boosting models
feature-selection-dimensionality-reduction
Tutorial on how to select features for ML models
forage-anz
Solution to Data at ANZ virtual internship on Forage
house-prices-prediction
End-to-end ML project on house price prediction
kaggle-titanic
Infamous Titanic survial prediction competition on Kaggle
pandas-tutorial
Beginner's introduction to the pandas library for data manipulation
regular-expressions-regex
Regular expression concepts with code examples
scikit-learn-tutorial
Tutorial on how to perform feature encoding, feature scaling, and missing values imputation using the scikit-learn library
seaborn-tutorial
Tutorial on how to use the seaborn library for data visualisation
chongjason914's Repositories
chongjason914/kaggle-titanic
Infamous Titanic survial prediction competition on Kaggle
chongjason914/pandas-tutorial
Beginner's introduction to the pandas library for data manipulation
chongjason914/scikit-learn-tutorial
Tutorial on how to perform feature encoding, feature scaling, and missing values imputation using the scikit-learn library
chongjason914/regular-expressions-regex
Regular expression concepts with code examples
chongjason914/forage-anz
Solution to Data at ANZ virtual internship on Forage
chongjason914/b1-workshop-apr22
Data cleaning and data visualisation workshop using Microsoft Excel and PowerBI
chongjason914/feature-selection-dimensionality-reduction
Tutorial on how to select features for ML models
chongjason914/house-prices-prediction
End-to-end ML project on house price prediction
chongjason914/seaborn-tutorial
Tutorial on how to use the seaborn library for data visualisation
chongjason914/bagging-vs-boosting
Simple exercise to understand the similarities and differences between random forest and gradient boosting models
chongjason914/k-means-clustering
Cluster customers into groups based on their movie preferences by implementing the k-means algorithm in R
chongjason914/nba-web-scraping
Web scrape NBA player information from ESPN website using rvest package
chongjason914/nlp-spam-classification
A classifier built using natural language processing which detects whether a given text is ham or spam
chongjason914/time-series
Beginner's introduction to time series analysis and forecasting using R
chongjason914/dplyr-ggplot2
Getting started with dplyr and ggplot2 packages in R
chongjason914/linear-regression
Guide to simple linear regression in R