Machine Learning Nanodegree 32 Hours

Machine Learning Nanodegree Course by Dr.Tamer Eid on Udemy

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
01- Numpy		01- Numpy
02- Pandas		02- Pandas
03- Data Reprocessing		03- Data Reprocessing
04-05- Simple Linear Regression		04-05- Simple Linear Regression
06- Multiple Linear Regression Intuition		06- Multiple Linear Regression Intuition
07- Polynomial Regression		07- Polynomial Regression
08- Support Vector Regression (SVR)		08- Support Vector Regression (SVR)
09- Decision_Tree_Regression		09- Decision_Tree_Regression
10- Random Forest		10- Random Forest
11- Logistic_Regression		11- Logistic_Regression
12- K_Nearest_Neighbors		12- K_Nearest_Neighbors
13- SVM		13- SVM
14- Naive_Bayes		14- Naive_Bayes
15- Decision_Tree_Classification		15- Decision_Tree_Classification
16- Random_Forest_Classification		16- Random_Forest_Classification
17- K_Means		17- K_Means
18- Hierarchical_Clustering		18- Hierarchical_Clustering
19- Apriori_Python		19- Apriori_Python
20- Upper Confidence Bound		20- Upper Confidence Bound
21-Thompson_Sampling		21-Thompson_Sampling
22- Natural_Language_Processing		22- Natural_Language_Processing
23- Artificial_Neural_Networks		23- Artificial_Neural_Networks
24- Convolutional_Neural_Networks		24- Convolutional_Neural_Networks
25- PCA		25- PCA
26- LDA		26- LDA
27- Kernel_PCA		27- Kernel_PCA
28- Model_Selection		28- Model_Selection
29- Kernel_SVM		29- Kernel_SVM
30- XGBoost		30- XGBoost
Machine-Learning-A-Z-Q-A.pdf		Machine-Learning-A-Z-Q-A.pdf
README.md		README.md

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