ml-with-python

Machine learning programs written in python language using jupyter notebook.

Name		Name	Last commit message	Last commit date
Lecture1-PythonBasics		Lecture1-PythonBasics
Lecture10		Lecture10
Lecture2-Pandas,Matplotlib		Lecture2-Pandas,Matplotlib
Lecture3-Linear Regression		Lecture3-Linear Regression
Lecture4 - Gradient , CM , CR , K Cross Val		Lecture4 - Gradient , CM , CR , K Cross Val
Lecture5 - Decision Tree,Random Forest		Lecture5 - Decision Tree,Random Forest
Lecture6 - Decision Tree Scatch(Info gain) , Google Stocks Data		Lecture6 - Decision Tree Scatch(Info gain) , Google Stocks Data
Lecture7 - KNN , KNN Scratch		Lecture7 - KNN , KNN Scratch
Lecture8-Cars Data and City Data		Lecture8-Cars Data and City Data
Lecture9 - LogisticRegression , SVM (Digits and Glass Data )		Lecture9 - LogisticRegression , SVM (Digits and Glass Data )
Untitled Folder		Untitled Folder
14 lec.ipynb		14 lec.ipynb
Boston Data Set.ipynb		Boston Data Set.ipynb
CNN.ipynb		CNN.ipynb
Cars Practice complete.ipynb		Cars Practice complete.ipynb
Classification Report - Iris.ipynb		Classification Report - Iris.ipynb
Confusion Matrix - Boston.ipynb		Confusion Matrix - Boston.ipynb
Decision Tree(recent).ipynb		Decision Tree(recent).ipynb
Gradient Descent(_recent).ipynb		Gradient Descent(_recent).ipynb
Gradient Descent.ipynb		Gradient Descent.ipynb
K-Cross Validation.ipynb		K-Cross Validation.ipynb
KNN.ipynb		KNN.ipynb
Lecture2(sir).ipynb		Lecture2(sir).ipynb
NLP Basic Movie Review.ipynb		NLP Basic Movie Review.ipynb
PCA Scratch.ipynb		PCA Scratch.ipynb
PCA.ipynb		PCA.ipynb
README.md		README.md
TensorFLow.ipynb		TensorFLow.ipynb
Untitled.ipynb		Untitled.ipynb
Untitled1.ipynb		Untitled1.ipynb
Untitled10.ipynb		Untitled10.ipynb
Untitled11.ipynb		Untitled11.ipynb
Untitled12.ipynb		Untitled12.ipynb
Untitled13.ipynb		Untitled13.ipynb
Untitled14.ipynb		Untitled14.ipynb
Untitled15.ipynb		Untitled15.ipynb
Untitled16.ipynb		Untitled16.ipynb
Untitled2.ipynb		Untitled2.ipynb
Untitled3.ipynb		Untitled3.ipynb
Untitled4.ipynb		Untitled4.ipynb
Untitled5.ipynb		Untitled5.ipynb
Untitled6.ipynb		Untitled6.ipynb
Untitled7.ipynb		Untitled7.ipynb
Untitled8.ipynb		Untitled8.ipynb
Untitled9.ipynb		Untitled9.ipynb
class13.ipynb		class13.ipynb
don't know 2.ipynb		don't know 2.ipynb
dont know.ipynb		dont know.ipynb
interpolate.ipynb		interpolate.ipynb
interpolate_unaffected.ipynb		interpolate_unaffected.ipynb
iriisss.jpeg		iriisss.jpeg
lecture 1.ipynb		lecture 1.ipynb
lecture 10 SVM.ipynb		lecture 10 SVM.ipynb
lecture 2.ipynb		lecture 2.ipynb
lecture1 with markdowns.ipynb		lecture1 with markdowns.ipynb
lecture11.ipynb		lecture11.ipynb
lecture_1.ipynb		lecture_1.ipynb
notebook (1).ipynb		notebook (1).ipynb
notebook.ipynb		notebook.ipynb
notebook_.ipynb		notebook_.ipynb
opencv_tut.ipynb		opencv_tut.ipynb
scratchpad.ipynb		scratchpad.ipynb
unsupervised learning-used for clustering and abnormal detection.ipynb		unsupervised learning-used for clustering and abnormal detection.ipynb

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