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4 - 14 Introduction to Python.mp4
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1 - Introduction
10 - Python Packages
11 - Lists
12 - Tuples
13 - Dictionaries
14 - Sets
15 - Files
16 - Object Oriented Programming
17 - Final Project
18 - Extra
2 - Installing Python
3 - Programming
4 - Variables And Data Types
5 - Numbers
6 - Strings
26 - Intro To Strings.mp4
MP4
187.9 KB
7 - Conditionals
31 - Intro To Conditionals.mp4
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557 KB
8 - Loops
35 - Intro To Loops.mp4
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418 KB
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1 - Introduction to Machine Learning
10 - Feature Engineering
11 - Saving & Loading Models
12 - Practical ML Projects
13 - Deployment Basics
14 - Best Practices & ML Workflow
15 - Interview Preparation
2 - Python for Machine Learning
3 - ML Libraries in Python
4 - Data Handling & Preprocessing
16. Loading & Inspecting Data.mp4
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35.8 MB
17. Handling Missing Values & Feature Engineering.mp4
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25.8 MB
18. Train-Test Split & Scaling Normalization.mp4
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19.2 MB
5 - Exploratory Data Analysis (EDA)
19. Understanding Your Data.mp4
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9.4 MB
20. Summary Statistics.mp4
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10.7 MB
21. Data Visualisation Basics.mp4
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19.3 MB
22. Scatter Plots & Bar Charts.mp4
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13.4 MB
23. Correlation Analysis.mp4
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19.1 MB
24. Distribution Plots.mp4
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8.6 MB
6 - Supervised Learning - Regression
25. Understanding Regression Simple Linear Regression & Multiple Linear Regression.mp4
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31.4 MB
26. Model Training & Evaluation.mp4
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27.4 MB
27. MAE(Mean Absolute Error), MSE(Mean Squared Error), RMSE(Root Mean Squared Error).mp4
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10.9 MB
7 - Supervised Learning - Classification
28. Logistic Regression.mp4
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25.6 MB
29. K-Nearest Neighbors.mp4
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36.6 MB
30. Decision Trees.mp4
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15.7 MB
31. Random Forest.mp4
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20 MB
32. Model Evaluation Metrics Accuracy, Precision, Recall, F1 Score.mp4
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46.5 MB
8 - Model Evaluation & Validation
33. Confusion Matrix.mp4
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55.3 MB
34. Cross-Validation.mp4
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29.8 MB
35. Overfitting, Underfitting, Bias-Variance Tradeoff.mp4
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23.6 MB
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1 - Introduction
10 - Evasion-Resistant Scanning
11 - Cost DoS Guard
12 - Safe Audit Logging
13 - Supply Chain Guard
14 - Agent Tool Guardrails
15 - Capstone Mini-Gateway
16 - Project 2 Live AI Security Chatbot
2 - Setup Python Environment & OpenAI API Key
3 - AI Security Fundamentals
4 - AI & ML Foundations for Security Engineers
5 - Understanding LLMs & Generative AI
6 - Rate Limiting
7 - Prompt Injection
8 - Secrets Detection
9 - PII Redaction
20 - Why PII Needs To Be Caught Before It Reaches A Model Or A Log.mp4
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8.7 MB
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1 - Introduction to Python & Setup
10 - Python Modules and Packages
11 - Intermediate to Advanced Python
12 - Working with APIs and Web Requests
13 - Automation and Scripting
14 - Introduction to Data Science with Python
2 - Python Basics
4. Variables and Data Types.mp4
MP4
32.9 MB
3 - Control Flow
4 - Loops and Iterations
12. For Loops and Range().mp4
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35.6 MB
13. Nested Loops.mp4
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35.1 MB
14. Looping Through Strings, Lists, Dictionaries.mp4
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45.8 MB
5 - Data Structures in Python
15. Lists.mp4
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44.5 MB
16. Tuples.mp4
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52.2 MB
17. Sets.mp4
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49.8 MB
18. List Comprehension & Dictionary Comprehension.mp4
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43.1 MB
6 - Functions and Scope
19. Defining Functions.mp4
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35.8 MB
20. Default Arguments, args, kwargs.mp4
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35.1 MB
21. Variable Scope Local, Global, Nonlocal.mp4
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47.5 MB
7 - Error Handling and Exceptions
22. Common Error Types.mp4
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42.1 MB
23. Try, Except, Finally.mp4
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56.6 MB
24. Raising Exceptions.mp4
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53.6 MB
25. Custom Exception Classes.mp4
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46.9 MB
8 - File Handling
26. Reading & Writing Text Files.mp4
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34.5 MB
9 - Object-Oriented Programming (OOP)
27. Classes and Objects.mp4
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43.1 MB
28. Instance vs Class Variables.mp4
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35 MB
29. Inheritance and Polymorphism.mp4
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64.3 MB
30. Magic Methods (str, repr).mp4
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57.2 MB
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1 - Introduction
10 - Embedding Service for querying Natural language
11 - Natural Language to SPARQL generation
12 - Natural Language to Cypher
13 - SHACL Validation
14 - Observability and Deployment
2 - From Chatbots to Knowledge-Driven Agentic AI Why Semantic Technologies Matter
3 - Github repo structure of the Project
4 - System design of the Project
5 - Conversion of RDF to Property Graph
6 - Generate Ontology through Python file and add more individuals into the Ontology
6 - Generate Ontology through Python file and add more individuals into the Ontology.mp4
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193.7 MB
7 - Load Ontology into neo4j Graph
7 - Load Ontology into neo4j Graph.mp4
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133.6 MB
8 - API endpoints used in the Project
8 - API endpoints used in the Project.mp4
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304.9 MB
9 - Exporting graph into Neo4j
10 - Exporting graph into neo4j.mp4
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132.2 MB
9 - Exporting graph into Neo4j.mp4
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137.3 MB
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1 - Introduction
10 - AI For Industry-Specific Use Cases
11 - Data Analysis + AI Insights (Simplified for Professionals)
12 - AI for Entrepreneurs & Leaders
13 - Advanced Concepts (Simplified)
14 - Generative AI-Powered Creative Design and Video Creations
2 - Introduction to Generative AI for Professionals
3 - Understanding Large Language Models (LLMs)
4 - Setting up and Exploring the Power of ChatGPT
5 - Prompt Engineering Mastery (Core Skill)
6 - AI Tools for Daily Productivity
7 - Generative AI for Software Development and Coding
31 - Generate code (Python programs).mp4
MP4
37.3 MB
1 matching file, 72 total files.
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1 - Chapter 01 Introduction to ChatGPT
ChatGPT Notes
10 - Chapter 07 ChatGPT Get Ideas and Suggestions
11 - Extra Helpful Prompt Engneering Example
12 - Chapter 08 ChatGPT for Developers
13 - Updated ChatGPT Topics for Developers
14 - 100 Ultimate ChatGPT Prompt Pack
2 - Course Introduction
3 - ChatGPT Quiz and Question Interesting
4 - Chapter 02 Practical Overview ChatGPT
5 - Chapter 03 ChatGPT as Content Generator
6 - Updated Section DeveloperFocused Prompt Engineering
7 - Chapter 04 ChatGPT Make Money with ChatGPT
8 - Chapter 05 ChatGPT Programming Languages Convertor
36 - 02 Convertion of Python and PHP with ChatGPT.mp4
MP4
20.8 MB
38 - 04 Convertion of Java and Python with ChatGPT.mp4
MP4
8 MB
2 matching files, 76 total files.
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1 - Introduction
10 - Project Customer Segmentation using Clustering
11 - Project Fake News Detection using machine learning Python
12 - Project COVID19 Coronavirus Infection Probability using machine learning
13 - Miscellaneous
14 - Python Crash Course
2 - Installation and Colab
3 - Python for Data Analysis Numpy
4 - Python for Data Analysis Pandas
5 - Python for Data Visualization Matplotlib
6 - Supervised Machine Learning
29 - how to implement Logistic Regression.mp4
MP4
26.3 MB
34 - Introduction to Naive Bayes Classifier for Text Classification.mp4
MP4
12.1 MB
36 - Introduction to Decision Tree.mp4
MP4
33.4 MB
7 - UnSupervised Machine Learning
8 - Reinforcement Learning
51 - Introduction to Reinforcement Learning.mp4
MP4
38.7 MB
4 matching files, 187 total files.
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1 - Understanding how GenAI transforms data analytics workflows
10 - Applying GenAI in Industry Use Cases
11 - Implementing Governance Practices Enhanced by GenAI
12 - Integrating GenAI into the Modern Analytics Stack
2 - Prompting Techniques to Generate SQL Queries and Python Code
3 - Tools and Setup for Analyst Workflows
4 - Automate EDA Tasks using GenAI to Accelerate Insight Discovery
14 - Section Introduction.mp4
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46.5 MB
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1 - Welcome to Introduction to Databricks
2 - Databricks Core Components
3 - Databricks Architecture
4 - Databricks in Action
14. Running Python Script inside Databricks.mp4
MP4
12.3 MB
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[FreeAllCourse.Com] Udemy - Python for Data Science and Machine Learning Bootcamp
14. Introduction to Machine Learning
4. Evaluating Performance - Classification Error Metrics.mp4
MP4
82.71 MB
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[Tutorialsplanet.NET] Udemy - Python for Data Science and Machine Learning Bootcamp
14. Introduction to Machine Learning
4. Machine Learning with Python.mp4
MP4
16.8 MB
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1 - Introduction
Logistic Regression in Python
Data Files
Others
Presentation
10 - Knearest Neighbors Classifier
11 - Understanding The Results
12 - Appendix 1 Linear Regression In Python
ML Practical task 3
ML Task 1
ML Task 2
13 - Congratulations About Your Certificate
2 - Introduction To Machine Learning
3 - Basics Of Statistics
4 - Setting Up Python And Jupyter Notebook
14 - Opening Jupyter Notebook.mp4
MP4
54.7 MB
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4 - 14 Introduction to Python.mp4
MP4
35.1 MB
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1 - Introduction the Course, FAQs, Strategy and End Goal
10 - Getting letter from Senator and Congressman
11 - Conclusion and Take-aways
12 - Replying to RFE
13 - Quizes
14 - Intro to my other Free Courses on Udemy
2 - Intro to Research Topic Selection and Support
3 - Research publications Tools & Support
4 - Python Automation tools
44. Python Automation tools.mp4
MP4
37.8 MB
5 - Latex Code for the Application
46. Contribution of Major Significant and Impact (last 3 years).mp4
MP4
105.5 MB
6 - How to Select the best Journal for your work
47. Journals High vs Low Quality; USA vs Outside Editorial; Rigroous vs Relaxed.mp4
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78 MB
48. How to select the best Journal for your work.mp4
MP4
160.6 MB
49. Selecting Journals based on your needs, non-predatory, moderate, open access.mp4
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70.3 MB
50. Open Access High Fee American well known Journals (US applicants).mp4
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38.7 MB
51. Master list of Level 0 Journals.mp4
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64.5 MB
52. Is WOS Scopus pay your way Journals worth it.mp4
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40.6 MB
53. Scopus Conferences Springer through Soft computing Society.mp4
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77.1 MB
54. Getting Indexed in EBSCO and ProQuest Strategically to Show Up in U.S. Commerce.mp4
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91.3 MB
55. US Commerce Lib Indexing.mp4
MP4
75.8 MB
56. Comparing Scopus vs ESCBO (US Commerce Library) harder does not exposure.mp4
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196.3 MB
57. Eric gov.mp4
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32.9 MB
7 - Case Study and Topics to Target
58. Case Study and Topics to Target.mp4
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4.1 MB
59. Topics to avoid Rejection - Focus on how it benefits USA.mp4
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12.8 MB
60. Kazam_screencast_00091.mp4
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13.2 MB
61. Case study of Successful Candidate Sample Research Profile in a year.mp4
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21.6 MB
8 - How to get review oppurtunities and to develop teaching profile
62. How Teaching Profile helps - invites to your own college as guest speaker.mp4
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4.3 MB
63. How to review papers [Stage 1 publish Stage 2 review].mp4
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16.2 MB
64. TimeLines on Review Strategy [It is like PhD].mp4
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54.1 MB
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1 - Introduction to the Course
10 - Calculating Value at Risk
11 - Conducting Monte Carlo Risk Simulation
12 - Optimizing Portfolio with CAPM & Mean Variance Optimization
13 - Conducting Forward Pricing & Financial Derivatives Valuation
14 - Option Pricing with Black Scholes Model
15 - Conducting Derivatives Pricing with Binomial Tree Model
16 - Conducting Fixed Income Modelling & Fixed Coupon Bond Pricing
17 - Building Implied Volatility Surface & Creating 3D Visualization
18 - Creating Cointegrated Pair Simulation & Applying Mean Reversion Concept
19 - Conclusion & Summary
2 - Tools, IDE, and Datasets
3 - Introduction to Quantitative Finance & Financial Engineering
4 - Python Fundamentas for Quantitative Finance
6. Python Fundamentas for Quantitative Finance.mp4
MP4
95.3 MB
5 - Financial Mathematics & Computational Finance
7. Financial Mathematics & Computational Finance.mp4
MP4
372.8 MB
6 - Descriptive Statistics, Probability, Correlation, Covariance, Regression
8. Descriptive Statistics, Probability, Correlation, Covariance, Regression.mp4
MP4
212.8 MB
7 - Time Series Analysis & Volatility Modelling with GARCH
9. Time Series Analysis & Volatility Modelling with GARCH.mp4
MP4
98.6 MB
8 - Stochastic Calculus & Geometric Brownian Motion
10. Stochastic Calculus & Geometric Brownian Motion.mp4
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124.2 MB
9 - Risk Management, Stress Testing, and Scenario Analysis
11. Risk Management, Stress Testing, and Scenario Analysis.mp4
MP4
369.2 MB
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1 - Introduction
10 - Ferranti effect
11 - Dynamic Stability Analysis
12 - PV analysis
13 - QV Analysis
14 - Python scripting for automation
2 - 3-bus power network configuration
3 - Gauss – Seidel Power Flow Solution
4 - Observing the circuit behavior
5 - Newton-Raphson Power Flow Solution
6 - Another 3-bus network grid setup
11. Introduction to Task 1C.mp4
MP4
54.7 MB
7 - Fast Decoupled Method
8 - 9-bus power network configuration
15. Introduction to the power grid.mp4
MP4
39.3 MB
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Complete 2020 Data Science and Machine Learning Bootcamp [UdemyLibrary.com]
Course
4. Introduction to Optimisation and the Gradient Descent Algorithm
14. [Python] - Loops and Performance Considerations.mp4
MP4
131.07 MB
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[FreeAllCourse.Com] Udemy - Python for Data Science and Machine Learning Bootcamp
14. Introduction to Machine Learning
4. Evaluating Performance - Classification Error Metrics.mp4
MP4
82.71 MB
1 matching file, 331 total files.
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Complete 2020 Data Science & Machine Learning Bootcamp
Complete 2020 Data Science & Machine Learning Bootcamp
4. Introduction to Optimisation and the Gradient Descent Algorithm
14. [Python] - Loops and Performance Considerations.mp4
MP4
131.08 MB
1 matching file, 391 total files.
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