GitHub - SudhanshuBlaze/Machine-Learning: Machine Learning repo, contains implementation of most popularly used ML and DL algorithms. Build basic projects with all those ML algorithms like Naive Bayes, SVM, Random Forest Classifier etc.

SudhanshuBlaze / Machine-Learning Public

Notifications You must be signed in to change notification settings
Fork 0
Star 2

Machine Learning repo, contains implementation of most popularly used ML and DL algorithms. Build basic projects with all those ML algorithms like Naive Bayes, SVM, Random Forest Classifier etc.

2 stars 0 forks Branches Tags Activity

Star

Notifications

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 26 Commits
.ipynb_checkpoints		.ipynb_checkpoints
0 Assignment		0 Assignment
0 resources		0 resources
InternAssignment		InternAssignment
Model		Model
.gitignore		.gitignore
01. Linear Regression .ipynb		01. Linear Regression .ipynb
02. LR-Multiple Variable.ipynb		02. LR-Multiple Variable.ipynb
03. One Hot Encoding.ipynb		03. One Hot Encoding.ipynb
04. train_test_split_demo.ipynb		04. train_test_split_demo.ipynb
05. Logistic regression.ipynb		05. Logistic regression.ipynb
06. Logistic Regression MultiClass.ipynb		06. Logistic Regression MultiClass.ipynb
07. Pandas - Data Analysis.ipynb		07. Pandas - Data Analysis.ipynb
07. Pandas-Merging, Joining, and Concatenating.ipynb		07. Pandas-Merging, Joining, and Concatenating.ipynb
09. Support Vector Machine (Iris ,diabetes).ipynb		09. Support Vector Machine (Iris ,diabetes).ipynb
10. Decision Tree and Random Forest Regressor.ipynb		10. Decision Tree and Random Forest Regressor.ipynb
11. K- Fold Cross Validation.ipynb		11. K- Fold Cross Validation.ipynb
12. KMeans .ipynb		12. KMeans .ipynb
13. Naive Bayes (import model).ipynb		13. Naive Bayes (import model).ipynb
14. Hyper Parameter Tunning.ipynb		14. Hyper Parameter Tunning.ipynb
15. K Nearest Neighbours.ipynb		15. K Nearest Neighbours.ipynb
16. Principal Component Analysis.ipynb		16. Principal Component Analysis.ipynb
17. Recommender Systems.ipynb		17. Recommender Systems.ipynb
18. NLP(spam detection) -NLTK.ipynb		18. NLP(spam detection) -NLTK.ipynb
19. Email spam -spaCy.ipynb		19. Email spam -spaCy.ipynb
19. Text Pre-processing spaCy.ipynb		19. Text Pre-processing spaCy.ipynb
20. Vader Sentiment-Analysis-Project.ipynb		20. Vader Sentiment-Analysis-Project.ipynb
21. Text-Summarizer NLTK.ipynb		21. Text-Summarizer NLTK.ipynb
22. Gradient Descent.ipynb		22. Gradient Descent.ipynb
23. TensorBoard with MNIST.ipynb		23. TensorBoard with MNIST.ipynb
24. Dropout Regularization (exporting the model).ipynb		24. Dropout Regularization (exporting the model).ipynb
25. CNN- Cifar Dataset.ipynb		25. CNN- Cifar Dataset.ipynb
26. Data Augmentation -Flower Dataset.ipynb		26. Data Augmentation -Flower Dataset.ipynb
27. Transfer Learning.ipynb		27. Transfer Learning.ipynb
28. RNN- Text Generation(Other Resources).ipynb		28. RNN- Text Generation(Other Resources).ipynb
29. Word embedding using keras embedding layer.ipynb		29. Word embedding using keras embedding layer.ipynb
Word Embeddings.png		Word Embeddings.png
epochBIG.h5		epochBIG.h5

About

Machine Learning repo, contains implementation of most popularly used ML and DL algorithms. Build basic projects with all those ML algorithms like Naive Bayes, SVM, Random Forest Classifier etc.

Activity

2 stars

1 watching

0 forks

Report repository