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Birds Classification
Birds Classification
 
 
FRUIT CLASSIFICATION
FRUIT CLASSIFICATION
 
 
Feature Extraction
Feature Extraction
 
 
Feature Scaling
Feature Scaling
 
 
Feature Selection
Feature Selection
 
 
Supervised Learning
Supervised Learning
 
 
UnSupervised Learning
UnSupervised Learning
 
 
.gitignore
.gitignore
 
 
01-Preliminaries.ipynb
01-Preliminaries.ipynb
 
 
02.1-Machine-Learning-Intro.ipynb
02.1-Machine-Learning-Intro.ipynb
 
 
02.2-Basic-Principles.ipynb
02.2-Basic-Principles.ipynb
 
 
03.1-Classification-SVMs.ipynb
03.1-Classification-SVMs.ipynb
 
 
03.2-Regression-Forests.ipynb
03.2-Regression-Forests.ipynb
 
 
04.1-Dimensionality-PCA.ipynb
04.1-Dimensionality-PCA.ipynb
 
 
04.2-Clustering-KMeans.ipynb
04.2-Clustering-KMeans.ipynb
 
 
04.3-Density-GMM.ipynb
04.3-Density-GMM.ipynb
 
 
05 SGD.html
05 SGD.html
 
 
05-Validation.ipynb
05-Validation.ipynb
 
 
1. Linear Regression_advertisement.ipynb
1. Linear Regression_advertisement.ipynb
 
 
1_linear_regression.ipynb
1_linear_regression.ipynb
 
 
Classification_IRIS_KNN.ipynb
Classification_IRIS_KNN.ipynb
 
 
DataSet.png
DataSet.png
 
 
Dimensionality_Reduction.ipynb
Dimensionality_Reduction.ipynb
 
 
Exploratory data analysis (EDA) On IRIS.ipynb
Exploratory data analysis (EDA) On IRIS.ipynb
 
 
Image_classification_on_CIFAR_10.py
Image_classification_on_CIFAR_10.py
 
 
Introduction to Clustering .ipynb
Introduction to Clustering .ipynb
 
 
Introduction to Reinforcement Learning .ipynb
Introduction to Reinforcement Learning .ipynb
 
 
Introduction-to-K-means-Clustering-Example.ipynb
Introduction-to-K-means-Clustering-Example.ipynb
 
 
K-means.py
K-means.py
 
 
KMeans_Cluster_Algrothim .ipynb
KMeans_Cluster_Algrothim .ipynb
 
 
KMeans_Cluster_Iris.py
KMeans_Cluster_Iris.py
 
 
LICENSE
LICENSE
 
 
Lasso , Ridge Regression For Breast Cancer.ipynb
Lasso , Ridge Regression For Breast Cancer.ipynb
 
 
Lasso , Ridge and ElasticNet Regression.ipynb
Lasso , Ridge and ElasticNet Regression.ipynb
 
 
Linear_Regression.PNG
Linear_Regression.PNG
 
 
Linear_Regression_Methods.ipynb
Linear_Regression_Methods.ipynb
 
 
Linear_Regression_Practice.ipynb
Linear_Regression_Practice.ipynb
 
 
LogisticRegression_Vectorized_Implementation.ipynb
LogisticRegression_Vectorized_Implementation.ipynb
 
 
Mean_Shift.ipynb
Mean_Shift.ipynb
 
 
Multi-variate LASSO regression with CV.ipynb
Multi-variate LASSO regression with CV.ipynb
 
 
Naive Bayes for BBC NEWS.ipynb
Naive Bayes for BBC NEWS.ipynb
 
 
Polynomial_Regression.py
Polynomial_Regression.py
 
 
RBF.PNG
RBF.PNG
 
 
README.md
README.md
 
 
Random_Forest_Regression.ipynb
Random_Forest_Regression.ipynb
 
 
Random_forest.html
Random_forest.html
 
 
Regression
Regression
 
 
Regularized polynomial regression with linear and random sampling.ipynb
Regularized polynomial regression with linear and random sampling.ipynb
 
 
Reinforcement Learning.ipynb
Reinforcement Learning.ipynb
 
 
Reinforcement_Learning.ipynb
Reinforcement_Learning.ipynb
 
 
SVM_IRIS.py
SVM_IRIS.py
 
 
Simple_Linear_Regression.py
Simple_Linear_Regression.py
 
 
Supervised_Learning_Work_Flowchart.pdf
Supervised_Learning_Work_Flowchart.pdf
 
 
color_quantization.ipynb
color_quantization.ipynb
 
 
dbscan.ipynb
dbscan.ipynb
 
 
digits_agglomeration.ipynb
digits_agglomeration.ipynb
 
 
hierarchical clustering.ipynb
hierarchical clustering.ipynb
 
 
machine-learning-hierarchy.jpg
machine-learning-hierarchy.jpg
 
 
ordinary_least_squares_in_python.ipynb
ordinary_least_squares_in_python.ipynb
 
 
plot_cluster_comparison.ipynb
plot_cluster_comparison.ipynb
 
 
scikit-learn-k-means.ipynb
scikit-learn-k-means.ipynb
 
 

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Machine Learning Concepts with Concepts

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python data-science machine-learning statistics deep-learning concepts linear-regression scikit-learn machine-learning-algorithms ml regression machine-learning-library python-3 polynomial-regression stastistical-sampling multiple-linear-regression machinelearning-python

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