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Built several Machine Learning models in various industrial areas using Regression Algorithms, Classification Algorithms, and Clustering Algorithms.

License: GNU General Public License v3.0

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apache-airflow docker git matplotlib mlflow mlops mys numpy pandas python

machine-learning-projects's Introduction

Machine Learning Projects

Dataset Python 3.6 NLTK

ML

Why this repository?

• To keep my GitHub organized, I've created this repository to house all of my Machine Learning-related code.!

Overview

• My Machine Learning work is stored here.
• Each of the aforementioned folders contains a dataset, as well as the answers to the corresponding problem statements.

Algorithms used

Regression:
Linear Regression
Multiple-Linear Regression
Logistic Regression
Polynomial Regression
Lasso and Ridge Regression (L1 & L2 Regularization)
Elastic-Net Regression

Classification:
K-Nearest Neighbours
Support Vector Machine
Naive Bayes
Decision Tree

Clustering:
K-Means

Ensemble:
Random Forest
Adaptive Boosting (AdaBoost)
Extreme Gradient Boosting (XGBoost)

Do ⭐ the repository, if it helped you in anyway.

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