Let'S Educate Drive Search
Let'S EducateποΈ
4. Setting up your cracking workspace and workflow
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24. Cracking via Hardware Breakpoints
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10. Summary of Cracking Software Workflow
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2. Introduction to crackme's
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29. Cracking software using loaders
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23. Cracking by patching eax register values
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17. Setting BP from the Call Stack
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11. Introduction to cracking gui-based programs
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31. Cracking Software that has a combination of Packing + Anti-Debugging
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18. Cracking Registration File Checks
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21. Cracking Auto-Generated Serial Keys
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30. Cracking Software's Anti-Debugging Protection
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Software Ethical Hacking - How to Crack Software Legally
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Accounts CPG
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6. Practice Coding Question- K-Means Clustering
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5. K-Means Clustering using PySpark
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4. Practice Coding Question- Logistic Regression
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5. Session 4 Bonus Content
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4. Real-World Use Case of Airflow
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3. Session 2 Bonus Content
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7. Solutions to Practice Coding Problems
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5. Practice Coding Problems
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6. Practice Problem - 02 - Kafka Connect
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5. Kafka Connect and Kafka Streams
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4. Practice Problem - 01 - Producers and Consumers
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3. Producer and Consumer Demo
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5. Solutions- Practice Coding Question
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3. Optimising the Spark Clusters
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6. Customer 360β
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6. Customer 360ΒΊ
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9. Course 4 - Data Engineering - II
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3. Components of a Good Story with Data - II
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2. Components of a Good Story with Data - I
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3. Case Study- HR Analytics
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2. Introduction to Chart Studio Plotly
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1. Other Basic Visualization Charts Plotly
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1. Course 4 Additional Resources - DA
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8. Course 4 - Storytelling with Advanced Visualization
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1. Capstone Projects
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7. Capstones Overview - BA track
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3. Components of a Good Story with Data - II
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2. Components of a Good Story with Data - I
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2. Concepts of Optimisation
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1. Business Model Canvas and Issue Tree Framework
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1. Course 4 - Additonal Resources
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1. Business Case Study
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7. Course 4 - Business Requirements
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4. 1-Dimensional Convolutions
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5. Industry Demo- Classifying Vehicles Using CNNs
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2. Industry Demo- Using CNNs with X-ray Images
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1. Industry Demo- Using CNNs with Flowers Images
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4. Convolutional Neural Networks - Industry Applications
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3. CNN Architectures and Transfer Learning
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2. Building CNNs with Python and Keras
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1. Introduction to Convolutional Neural Networks
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3. Convolutional Neural Networks
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1. Deep Learning Course Project - Gesture Recognition
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6. Deep Learning Course 4
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4. Social Media Opinion Mining - Semantic Processing Case Study
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4. Social Media Opinion Mining - Semantic Processing Case Study
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