chongjason914/scikit-learn-tutorial

Stars
19
Rank 1,163,249 (Top 23 %)
Language
Jupyter Notebook
Created almost 4 years ago
Updated over 3 years ago

chongjason914/scikit-learn-tutorial

chongjason914

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

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

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

regular-expressions-regex

Regular expression concepts with code examples

Jupyter Notebook

forage-anz

Solution to Data at ANZ virtual internship on Forage

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

Jupyter Notebook

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