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دسته بندی دوره ها

The Complete Machine Learning Course: From Zero to Expert!

سرفصل های دوره

Learn Machine Learning in Python from scratch. Everything you need to get the job you want! Code templates included.


1 - Code Environment Setup
  • 1 - Google Colab for Programming in Python
  • 1 - Google-Colab-for-Programming-in-Python.pdf

  • 2 - Visualization Principal Component Analysis
  • 2 - Introduction to PCA
  • 2 - Introduction-to-PCA.pdf
  • 3 - Introduction to the Dataset
  • 3 - Introduction-to-the-Dataset.pdf
  • 3 - crabs.csv
  • 3 - introduction-to-the-dataset.zip
  • 4 - Initial Visualization
  • 4 - Initial-Visualization.pdf
  • 4 - crabs.csv
  • 4 - initial-visualization.zip
  • 5 - Using PCA
  • 5 - Using-PCA.pdf
  • 5 - pca-in-crabs-dataset.zip

  • 3 - Visualization Locally Linear Embedding LLE
  • 6 - Introduction to LLE
  • 6 - Introduction-to-LLE.pdf
  • 7 - Locally Linear Embedding Algorithm
  • 7 - Locally-Linear-Embedding-Algorithm.pdf
  • 8 - Introduction to the Dataset
  • 8 - Introduction-to-the-Dataset.pdf
  • 8 - crabs.csv
  • 8 - introduction-to-the-dataset.zip
  • 9 - Using LLE
  • 9 - Using-LLE.pdf
  • 9 - crabs.csv
  • 9 - using-locally-linear-embedding.zip
  • 10 - LLE with 3 Dimensions
  • 10 - LLE-with-3-Dimensions.pdf
  • 10 - crabs.csv
  • 10 - lle-with-3-dimensions.zip

  • 4 - Visualization tStochastic Neighbor Embedding tSNE
  • 11 - Introduction to tSNE
  • 11 - Introduction-to-t-SNE.pdf
  • 12 - Dataset
  • 13 - Introduction to the Dataset
  • 13 - Introduction-to-the-Dataset.pdf
  • 13 - crabs.csv
  • 13 - introduction-to-the-dataset.zip
  • 14 - Using-t-SNE-on-Raw-Data.pdf
  • 14 - tSNE on Raw Data
  • 14 - using-t-sne-with-raw-data.zip
  • 15 - Using-t-SNE-on-Scaled-Data.pdf
  • 15 - tSNE on Scaled Data
  • 15 - using-t-sne-with-scaled-data.zip
  • 16 - Using-t-SNE-on-Standardized-Data.pdf
  • 16 - tSNE on Standardized Data
  • 16 - using-t-sne-with-standardized-data.zip

  • 5 - Visualization Multidimensional Scaling MDS
  • 17 - Introduction to MDS
  • 18 - Multidimensional-Scaling-with-2-Dimensions.pdf
  • 18 - Using MDS with 2 Dimensions
  • 18 - mds-with-2-dimensions.zip
  • 19 - Multidimensional-Scaling-with-3-Dimensions.pdf
  • 19 - Using MDS with 3 Dimensions
  • 19 - mds-with-3-dimensions.zip

  • 6 - Visualization ISOMAP
  • 20 - Introduccion to ISOMAP
  • 20 - Introduction-to-ISOMAP.pdf
  • 21 - ISOMAP with 2 Dimensions
  • 21 - ISOMAP-with-2-Dimensions.pdf
  • 21 - isomap-with-2-dimensions.zip
  • 22 - ISOMAP with 3 Dimensions
  • 22 - ISOMAP-with-3-Dimensions.pdf
  • 22 - isomap-with-3-dimensions.zip

  • 7 - Visualization Fisher Discriminant Analysis
  • 23 - Introduction to Fisher Discriminant Analysis
  • 24 - Dataset Information
  • 25 - Introduction to the Dataset
  • 25 - Introduction-to-the-Dataset.pdf
  • 25 - crabs.csv
  • 25 - introduction-to-the-dataset.zip
  • 26 - Fisher Discriminant Analysis with 2 Dimensions
  • 26 - Fisher-Discriminant-Analysis-with-2-Dimensions.pdf
  • 26 - fisher-discriminant-analysis-with-2-dimensions.zip
  • 27 - Fisher Discriminant Analysis with 3 Dimensions
  • 27 - Fisher-Discriminant-Analysis-with-3-Dimensions.pdf
  • 27 - fisher-discriminant-analysis-with-3-dimensions.zip

  • 8 - Visualization Final Project Images
  • 28 - Images
  • 29 - Introduction to Image Dataset
  • 29 - Introduction-to-Image-Dataset.pdf
  • 29 - introduction-to-image-dataset.zip
  • 30 - Fisher Discriminant Analysis
  • 30 - Fisher-Discriminant-Analysis.pdf
  • 30 - fisher-discriminant-analysis.zip

  • 9 - Linear Regression
  • 31 - Introduction to the Dataset
  • 31 - Introduction-to-the-Dataset.pdf
  • 31 - LifeExpectancy.csv
  • 31 - introduction-to-the-dataset.zip
  • 32 - Preprocessing
  • 32 - Preprocessing.pdf
  • 32 - preprocessing.zip
  • 33 - Linear Regression
  • 33 - Linear-Regression.pdf
  • 33 - linear-regression.zip
  • 34 - Metrics
  • 34 - Metrics.pdf
  • 34 - metrics.zip
  • 35 - Cross Validation
  • 35 - Cross-Validation.pdf
  • 35 - cross-validation.zip

  • 10 - Ridge Regression
  • 36 - Ridge Regression and Cross Validation
  • 36 - Ridge-Regression.pdf

  • 11 - Lasso Regression
  • 37 - Lasso Regression and Cross Validation
  • 37 - Lasso-Regression.pdf
  • 37 - lasso-regression.zip

  • 12 - Regression Understand the Models
  • 38 - Analysis
  • 38 - Initial-Analysis.pdf
  • 39 - Data Scaling
  • 39 - Data-Scaling.pdf
  • 39 - scaling-data.zip
  • 40 - OneHot Encoding
  • 40 - One-Hot-Encoding.pdf
  • 40 - one-hot-encoding.zip
  • 41 - Regularization
  • 42 - Final Results
  • 42 - Final-Results.pdf
  • 42 - LifeExpectancy.csv
  • 42 - final-results.zip

  • 13 - Classification Breast Cancer Prediction
  • 43 - Introduction to the Dataset
  • 44 - Partition of the Dataset Train and Test
  • 44 - Partition-of-the-Dataset.pdf
  • 44 - partition-of-dataset.zip
  • 45 - Preprocessing
  • 45 - Preprocessing.pdf
  • 45 - preprocessing.zip
  • 46 - Principal Component Analysis
  • 47 - Linear Discriminant Analysis
  • 47 - Linear-Discriminant-Analysis.pdf
  • 47 - linear-discriminant-analysis.zip
  • 48 - Naive Bayes Classifier
  • 48 - Naive-Bayes-Classifier.pdf
  • 48 - naives-bayes.zip
  • 49 - Quadratic Classifier
  • 49 - Quadratic-Classifier.pdf
  • 49 - quadratic-classifer.zip
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    تاریخ انتشار: ۸ فروردین ۱۴۰۲
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