This is a regression problem which predicts plane arrival delay.
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Jul 26, 2019 - Jupyter Notebook
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important-feature-selection
Here are 6 public repositories matching this topic...
The main objectives of the project are: exploratory data analysis, pre-processing, feature extraction, price prediction of houses.
machine-learning-algorithms
regression
data-visualization
data-analysis
house-price-prediction
important-feature-selection
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Updated
Mar 23, 2023 - Jupyter Notebook
python
nlp
machine-learning
neural-network
genetic-algorithm
preprocessing
from-scratch
important-feature-selection
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Jan 3, 2023 - Python
Predictive analysis to find essential variables in customer booking
data-science
pca-analysis
data-analysis
logistic-regression
data-modeling
random-forest-classifier
data-analysis-python
important-feature-selection
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Jun 15, 2023 - Jupyter Notebook
This project is based on a classification algorithm i.e. Naive Bayes which is run on a mobile dataset consisting of 2000 rows and 15 columns. It is a multi-class problem where mobile phones are classified in accordance with their price range. There are four classes of price ranging from 0 to 3, 0 indicating cheaper mobiles phones and 3 represent…
correlation
standardization
dummies
naive-bayes-classification
bivariate-analysis
random-forest-classifier
minmaxscaling
univariate-analysis
randomizedsearchcv
important-feature-selection
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Jul 5, 2022 - Jupyter Notebook
Implementing different model for Income Classification Python
python
machine-learning
ai
random-forest
eda
pca-analysis
classification
logistic-regression
adaboost
decision-tree-classifier
bagging
knn-classification
naivebayesclassifier
adult-income
important-feature-selection
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Updated
Sep 14, 2022 - Jupyter Notebook
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