https://github.com/kshitijshrivastava1903/data-science-and-machine-learning-projects
Used supervised and unsupervised machine learning algorithms for classification and regression tasks on real datasets
https://github.com/kshitijshrivastava1903/data-science-and-machine-learning-projects
decision-trees kmeans-clustering knearest-neighbor-algorithm linear-regression machine-learning-algorithms matplotlib-pyplot numpy pandas random-forest-classifier seaborn support-vector-machines
Last synced: 8 months ago
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Used supervised and unsupervised machine learning algorithms for classification and regression tasks on real datasets
- Host: GitHub
- URL: https://github.com/kshitijshrivastava1903/data-science-and-machine-learning-projects
- Owner: kshitijshrivastava1903
- Created: 2020-06-04T14:45:50.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2020-06-17T17:13:10.000Z (over 5 years ago)
- Last Synced: 2025-01-15T23:29:24.386Z (10 months ago)
- Topics: decision-trees, kmeans-clustering, knearest-neighbor-algorithm, linear-regression, machine-learning-algorithms, matplotlib-pyplot, numpy, pandas, random-forest-classifier, seaborn, support-vector-machines
- Language: Jupyter Notebook
- Homepage:
- Size: 6.28 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
In this repository, I have used 5 different machine learning algorithms, SUPPORT VECTOR MACHINES (on the famous Iris dataset
to predict species of flowers on the basis of their features), LINEAR REGRESSION (on the famous Boston housing dataset to
predict prices of houses in Boston on the basis of features regarding locality supplied), RANDOM FOREST ALGORITHM (on customer
data to predict whether they will repay the loan), K-MEANS CLUSTERING (for predicting whether a college is private or public
on the basis of features supplied), K-NEAREST NEIGHBOURS (for classification on the basis of some random data).