https://github.com/danhenriquex/data_science_and_machine_learning

Learning Data Science and Artificial Inteligence concepts
https://github.com/danhenriquex/data_science_and_machine_learning

deep-learning deep-neural-networks machine-learning matplotlib numpy pandas

Last synced: 4 days ago
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Learning Data Science and Artificial Inteligence concepts

• Host: GitHub
• URL: https://github.com/danhenriquex/data_science_and_machine_learning
• Owner: danhenriquex
• Created: 2023-03-11T15:09:27.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-08-28T20:44:40.000Z (3 months ago)
• Last Synced: 2024-08-28T22:08:58.475Z (3 months ago)
• Topics: deep-learning, deep-neural-networks, machine-learning, matplotlib, numpy, pandas
• Language: Jupyter Notebook
• Homepage:
• Size: 22.1 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Data Science and Machine Learning

In this course I learned a lot of concepts about machine learning and deep learning, such as:

### Machine Learning

- Pandas

- NumPy

- MatPlotlib

- Scikit-Learn

- Splitting into training, validation and test set

- Cleaning, transforming and reducing dataset

- Working with categorical classification ( OneHotEncoder )

- Handling missing values

- Regression, Classification, Decision trees and others machine learning algorithms

- Making predictions and evaluating models with score, cross validation, accuracy, ROC Curve, confusion matrix, classification report, MAE, MSE

- Tuning Hyperparameters with GridSearch and RandomizedSearchCV

- Saving and Loading model.

### Deep Learning

- Deep Learning with tensorflow

- Turning data Labels into Numbers

- Preprocess images and turning data into batches

- Building a deep learning model using some architectures such as Mobilenet.

- Handling overfitting and underfitting.

- Evaluating the model