3D Surface Plots-checkpoint.ipynb
Bayes Theorem-checkpoint.ipynb
Classification using Naive Bayes-checkpoint.ipynb
Gaussian Naive Bayes-checkpoint.ipynb
Locally Weighted Linear Regression-checkpoint.ipynb
ML - SkLearn - Regression on Boston Dataset-checkpoint.ipynb
Naive Bayes on MNIST Data-checkpoint.ipynb
OpenCV Basics-I-checkpoint.ipynb
Regression - Closed Form-checkpoint.ipynb
Regression - Complex Boundary-checkpoint.ipynb
Regression-checkpoint.ipynb
Regression-with-visualistion-complete-checkpoint.ipynb
SkLearn Regression-II-checkpoint.ipynb
SkLearn Regression-checkpoint.ipynb
Stochastic and Mini Batch-checkpoint.ipynb
Test-Neural Network-checkpoint.ipynb
Text Classification - Naive Bayes-checkpoint.ipynb
Untitled-checkpoint.ipynb
linear_regression-checkpoint.ipynb
linear_regression_stochastic_mini_batch-Copy1-checkpoint.ipynb
sklearn-complex-boundary-checkpoint.ipynb
10. K-Means and Color Extraction
12. Support Vector Machines
18. Text Generation using Markov Chain
2. Working with Libraries
6. Project - Face Recognition
7. Natural Language Feature Engineering
9. Project - Movie Rating Prediction
Deploying ML models on web
Generative Adversarial Networks (GANs)
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