• Stars
    star
    3
  • Rank 3,963,521 (Top 79 %)
  • Language
    Jupyter Notebook
  • Created about 4 years ago
  • Updated over 3 years ago

Reviews

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

Repository Details

End-to-end ML project on house price prediction

More Repositories

1

kaggle-titanic

Infamous Titanic survial prediction competition on Kaggle
Jupyter Notebook
30
star
2

pandas-tutorial

Beginner's introduction to the pandas library for data manipulation
Jupyter Notebook
21
star
3

scikit-learn-tutorial

Tutorial on how to perform feature encoding, feature scaling, and missing values imputation using the scikit-learn library
Jupyter Notebook
19
star
4

regular-expressions-regex

Regular expression concepts with code examples
Jupyter Notebook
12
star
5

forage-anz

Solution to Data at ANZ virtual internship on Forage
Jupyter Notebook
8
star
6

seaborn-tutorial

Tutorial on how to use the seaborn library for data visualisation
Jupyter Notebook
3
star
7

feature-selection-dimensionality-reduction

Tutorial on how to select features for ML models
Jupyter Notebook
3
star
8

b1-workshop-apr22

Data cleaning and data visualisation workshop using Microsoft Excel and PowerBI
3
star
9

nlp-spam-classification

A classifier built using natural language processing which detects whether a given text is ham or spam
Jupyter Notebook
2
star
10

nba-web-scraping

Web scrape NBA player information from ESPN website using rvest package
Jupyter Notebook
2
star
11

time-series

Beginner's introduction to time series analysis and forecasting using R
Jupyter Notebook
2
star
12

k-means-clustering

Cluster customers into groups based on their movie preferences by implementing the k-means algorithm in R
R
2
star
13

bagging-vs-boosting

Simple exercise to understand the similarities and differences between random forest and gradient boosting models
Jupyter Notebook
2
star