ai-cdac-drdo-july2024

The programs of certificate course on "Artificial Intelligence and Machine Learning" conducted at CDAC for DRDO by Tushar B. Kute.

Name		Name	Last commit message	Last commit date
Latest commit History 42 Commits
01 Python Basics.ipynb		01 Python Basics.ipynb
02 Array Processing.ipynb		02 Array Processing.ipynb
03 Tensorflow.ipynb		03 Tensorflow.ipynb
04 Image Loading.ipynb		04 Image Loading.ipynb
05 Colormaps.ipynb		05 Colormaps.ipynb
06 Pixel Operations.ipynb		06 Pixel Operations.ipynb
07 Video Operations.ipynb		07 Video Operations.ipynb
08 Image Translation.ipynb		08 Image Translation.ipynb
09 Image Rotation.ipynb		09 Image Rotation.ipynb
10 Image Resizing.ipynb		10 Image Resizing.ipynb
11 Image Flipping.ipynb		11 Image Flipping.ipynb
12 Image Cropping.ipynb		12 Image Cropping.ipynb
13 Image Shearing.ipynb		13 Image Shearing.ipynb
14 Affine Transformation.ipynb		14 Affine Transformation.ipynb
15 Arithmetic Operations.ipynb		15 Arithmetic Operations.ipynb
16 Image Smoothing and Blurring.ipynb		16 Image Smoothing and Blurring.ipynb
17 Histogram.ipynb		17 Histogram.ipynb
18 Thresholding.ipynb		18 Thresholding.ipynb
20 Contours.ipynb		20 Contours.ipynb
21 Image Reconstruction - Inpainting.ipynb		21 Image Reconstruction - Inpainting.ipynb
22 Image Matching.ipynb		22 Image Matching.ipynb
23 Structured Data Analysis.ipynb		23 Structured Data Analysis.ipynb
24 Data Cleaning.ipynb		24 Data Cleaning.ipynb
25 Feature Scaling.ipynb		25 Feature Scaling.ipynb
26 Feature Encoding.ipynb		26 Feature Encoding.ipynb
27 Feature Selection.ipynb		27 Feature Selection.ipynb
28 Dimentionality Reduction - PCA.ipynb		28 Dimentionality Reduction - PCA.ipynb
29 Simple Linear Regression.ipynb		29 Simple Linear Regression.ipynb
30 Linear Regression.ipynb		30 Linear Regression.ipynb
31 Multiple Regression.ipynb		31 Multiple Regression.ipynb
32 Polynomial Regression.ipynb		32 Polynomial Regression.ipynb
33 Sigmoid Function.ipynb		33 Sigmoid Function.ipynb
34 Logistic Regression.ipynb		34 Logistic Regression.ipynb
35 Decision Tree Classification.ipynb		35 Decision Tree Classification.ipynb
36 Decision Tree Regression.ipynb		36 Decision Tree Regression.ipynb
37 Simple KNN.ipynb		37 Simple KNN.ipynb
38 K-Nearest Neighbor Classification.ipynb		38 K-Nearest Neighbor Classification.ipynb
39 Naive Bayes Classification.ipynb		39 Naive Bayes Classification.ipynb
40 Support Vector Machine.ipynb		40 Support Vector Machine.ipynb
41 Random Forest Classification.ipynb		41 Random Forest Classification.ipynb
42 Random Forest Regression.ipynb		42 Random Forest Regression.ipynb
README.md		README.md

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