Hi there ๐
this repo is as the title says, I play with the machine learning algorithms and try to implement it to have a good understand of what they actually do.
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Supervised:
- Linear Regression [DONE]๐ฑโ๐
- Logistic Regression
- Decision Tree
- Random Forest
- Naive Bayes
- SVM(Linear, Non Linear)
- KNN [DONE] ๐ฑโ๐
-
UnSupervrised
- K-Means
- Principal Component Analysis
- Apriori Algorithm
-
Deep Learning
- Neural Network
- CNN(Convolutional Neural Network)
- RNN(Recurrent Neural Network) [DONE] ๐ฑโ๐
-
Searching Algorithm
- BFS
- DFS
I enjoy watching these series during impleminting the algorithms, it help alot:
- https://www.youtube.com/watch?v=rLOyrWV8gmA
- https://www.kaggle.com/code/milan400/machine-learning-algorithms-from-scratch
ุณูุจุญุงูููู ุงูููููู ูู ูุจุญู ุฏูููุ ุฃุดูุฏู ุฃู ูุง ุฅูููู ุฅูููุง ุฃูุชู ุฃุณุชุบูุฑููู ูุฃุชูุจู ุฅูููู