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Machine Learning Project for Developers: Using popular frameworks such as TensorFlow, PyTorch, Keras and OpenCV in Python
This book includes almost everything you need to start a job as a python instructor. It includes
1. Dimensionality Reduction
2. Scikit-Learn
3. PyTorch
4. Transformers
5. Logistic Regression
6. Handling Imbalanced Datasets
7. Recommender Systems
8. Customer Churn Prediction
9. Credit Card Fraud Detection
10. Fake News Detection
11. Paraphrase Text
12. Satellite Image Classification
13. Text Generation
14. Speech Recognition
15. Machine Translation
16. Train BERT
17. Age and Gender Detection
18. Gender Detection
19. Age Detection
20. Imbalance Learning
21. Conversational AI Chatbot
22. Feature Selection using Scikit-Learn
23. Fine Tune BERT for Text Classification
24. Perform Text Summarization
25. Create Plots with Plotly
26. Perform Malaria Classification
27. Finance and Technical Indicators
28. Skin Cancer Detection
29. Perform Voice Gender Recognition
30. Blur Faces in Images using OpenCV
31. Convert Text to Speech
32. Perform Text Classification
I have explained every topic in the most simplest way and you can use these topics in multiple place
Who this book is
This book is highly appealing to all tech-savvy students, programming enthusiasts, IT graduates, and computer science professionals who want to build strong proficiency in building Python applications. Prior understanding of Python basic coding concepts like variables, expressions, and control structures is required to begin with this book. You can also read Basic Core Python
1. Dimensionality Reduction
2. Scikit-Learn
3. PyTorch
4. Transformers
5. Logistic Regression
6. Handling Imbalanced Datasets
7. Recommender Systems
8. Customer Churn Prediction
9. Credit Card Fraud Detection
10. Fake News Detection
11. Paraphrase Text
12. Satellite Image Classification
13. Text Generation
14. Speech Recognition
15. Machine Translation
16. Train BERT
17. Age and Gender Detection
18. Gender Detection
19. Age Detection
20. Imbalance Learning
21. Conversational AI Chatbot
22. Feature Selection using Scikit-Learn
23. Fine Tune BERT for Text Classification
24. Perform Text Summarization
25. Create Plots with Plotly
26. Perform Malaria Classification
27. Finance and Technical Indicators
28. Skin Cancer Detection
29. Perform Voice Gender Recognition
30. Blur Faces in Images using OpenCV
31. Convert Text to Speech
32. Perform Text Classification
I have explained every topic in the most simplest way and you can use these topics in multiple place
Who this book is
This book is highly appealing to all tech-savvy students, programming enthusiasts, IT graduates, and computer science professionals who want to build strong proficiency in building Python applications. Prior understanding of Python basic coding concepts like variables, expressions, and control structures is required to begin with this book. You can also read Basic Core Python
622 pages, Kindle Edition
Published December 6, 2022
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