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This repository, named "ml_practice," serves as a learning ground for various machine learning concepts and techniques. The repository contains a collection of Python scripts and Jupyter notebooks, each dedicated to exploring and implementing different machine learning algorithms, models, and methodologies.

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Dheeraj-02NK/Machine-Learning-Projects

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01. Analysis-on-fruits-and-vegetables-prices.ipynb
01. Analysis-on-fruits-and-vegetables-prices.ipynb
 
 
02. Analysis-retail-prices-for-each-city.ipynb
02. Analysis-retail-prices-for-each-city.ipynb
 
 
03. Financial Statements.ipynb
03. Financial Statements.ipynb
 
 
04. MNIST Clothing TF.ipynb
04. MNIST Clothing TF.ipynb
 
 
05. Titanic data competition.ipynb
05. Titanic data competition.ipynb
 
 
06. Titanic EDA to ML.ipynb
06. Titanic EDA to ML.ipynb
 
 
07. Product Advertising.ipynb
07. Product Advertising.ipynb
 
 
08. Netflix Engagement Report 2023.ipynb
08. Netflix Engagement Report 2023.ipynb
 
 
09. Wine Quality Prediction Random Forest Implement.ipynb
09. Wine Quality Prediction Random Forest Implement.ipynb
 
 
10. K-NN.ipynb
10. K-NN.ipynb
 
 
11. K-means Cluster.ipynb
11. K-means Cluster.ipynb
 
 
12. Weighted Regression.ipynb
12. Weighted Regression.ipynb
 
 
13. Simple ANN.ipynb
13. Simple ANN.ipynb
 
 
14. Genetic Algorithm.ipynb
14. Genetic Algorithm.ipynb
 
 
15.Q-Learning Algorithm.ipynb
15.Q-Learning Algorithm.ipynb
 
 
16. Xgboost Spaceship Titanic.ipynb
16. Xgboost Spaceship Titanic.ipynb
 
 
16.Q-Learning Algorithm.ipynb
16.Q-Learning Algorithm.ipynb
 
 
17. Predict Diabetes With Python.ipynb
17. Predict Diabetes With Python.ipynb
 
 
18. Modified Image Segmentation-tf.ipynb
18. Modified Image Segmentation-tf.ipynb
 
 
19. Bank Chrun EDA.ipynb
19. Bank Chrun EDA.ipynb
 
 
README.md
README.md
 
 
main.py
main.py
 
 

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This repository, is named "Machine Learning Intro" serves as a learning ground for various machine learning concepts and techniques. The repository contains a collection of Python scripts and Jupyter notebooks. Each dedicated to exploring and implementing different machine learning algorithms, models, and methodologies.

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This repository, named "ml_practice," serves as a learning ground for various machine learning concepts and techniques. The repository contains a collection of Python scripts and Jupyter notebooks, each dedicated to exploring and implementing different machine learning algorithms, models, and methodologies.

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data-science machine-learning ml eda data-analysis

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