CBT Nuggets - Programming for Data Science
- 收录时间:2023-10-13 12:30:55
- 文件大小:12GB
- 下载次数:1
- 最近下载:2023-10-13 12:30:55
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文件列表
- 19. Evaluate Complexity and Memory for Data Science/4. Pandas Data Types .mp4 211MB
- 21. Explore R Fundamentals for Data Science/1. Introduction -3.mp4 194MB
- 24. Explore AI Language Models and OpenAI's ChatGPT/5. Prompts and Completions.mp4 185MB
- 21. Explore R Fundamentals for Data Science/3. Getting Started with R and Google Colab .mp4 177MB
- 2. Access the Command Line for Data Science/1. Introduction .mp4 171MB
- 10. Write Code using OOP Concepts for Data Science/3. Python Class Objects .mp4 169MB
- 21. Explore R Fundamentals for Data Science/2. What is R and Why Should I Learn it in 2023 .mp4 168MB
- 13. Visualizing Data with Matplotlib for Data Science/2. What is Matplotlib .mp4 161MB
- 13. Visualizing Data with Matplotlib for Data Science/3. Fields in the dataset from Kaggle .mp4 155MB
- 14. Visualize Data with Seaborn for Data Science/2. Matplotlib vs Seaborn .mp4 149MB
- 15. Explore Web Scraping Fundamentals for Data Science/6. Web Scraping with BeautifulSoup .mp4 149MB
- 19. Evaluate Complexity and Memory for Data Science/1. Introduction - Programming for Data Science CBT Nuggets-3.mp4 144MB
- 18. Analyze Core Data Structures for Data Science/4. Data Structures Deep Dive .mp4 142MB
- 2. Access the Command Line for Data Science/2. What is a command-line, terminal, and Shell .mp4 137MB
- 16. Collect Web Data with Python and BeautifulSoup/5. The find_all() Method Part 1 .mp4 136MB
- 22. Implement and Compare R Data Structures/7. Data Exploration .mp4 133MB
- 26. Create an AI Powered Web App with OpenAI, Streamlit/7. HungryBear Production Code Part 2 .mp4 133MB
- 18. Analyze Core Data Structures for Data Science/1. Introduction .mp4 133MB
- 20. Apply Big O Notation Concepts for Data Science/5. Factorial time .mp4 133MB
- 4. Explore Python Data Types for Data Science/7. Collections Dictionaries .mp4 132MB
- 20. Apply Big O Notation Concepts for Data Science/1. Introduction .mp4 132MB
- 24. Explore AI Language Models and OpenAI's ChatGPT/2. What is AI.mp4 131MB
- 16. Collect Web Data with Python and BeautifulSoup/4. The find() Method Part 2 .mp4 129MB
- 10. Write Code using OOP Concepts for Data Science/1. Introduction .mp4 125MB
- 18. Analyze Core Data Structures for Data Science/3. Python Basic Data Structure Limitations .mp4 125MB
- 10. Write Code using OOP Concepts for Data Science/2. Programming Styles .mp4 124MB
- 8. Write Loops to Automate Tasks for Data Science/3. if Statements Part 1 .mp4 124MB
- 19. Evaluate Complexity and Memory for Data Science/3. Algorithm Comparison .mp4 122MB
- 18. Analyze Core Data Structures for Data Science/5. Social Network Analysis Use Case .mp4 118MB
- 22. Implement and Compare R Data Structures/1. Introduction .mp4 118MB
- 23. Perform EDA with R and Python for Data Science/3. Perform Exploratory Data Analysis (EDA) Part II .mp4 116MB
- 25. Query OpenAI's Language Model API with Google's Colab/4. Creating a Completion.mp4 115MB
- 8. Write Loops to Automate Tasks for Data Science/7. Challenge .mp4 113MB
- 26. Create an AI Powered Web App with OpenAI, Streamlit/5. HungryBear Non-production Code .mp4 111MB
- 20. Apply Big O Notation Concepts for Data Science/6. Coffee Shop Complexity .mp4 110MB
- 9. Use Python Built-In Methods for Data Science/2. List Review .mp4 107MB
- 2. Access the Command Line for Data Science/4. Basic Linux Commands .mp4 106MB
- 23. Perform EDA with R and Python for Data Science/2. Load and Prepare the Dataset (EDA light) .mp4 104MB
- 11. Wrangling Data with Pandas for Data Science/6. Data Visualization with Pandas (it does that also!) .mp4 103MB
- 25. Query OpenAI's Language Model API with Google's Colab/2. Bare Bones Completion.mp4 103MB
- 1. Explore Data Science Domains and Roles/3. Data Science Tools .mp4 102MB
- 21. Explore R Fundamentals for Data Science/4. R Data Types .mp4 101MB
- 12. Work with Arrays Using Numpy Data Science Library/1. Introduction -3.mp4 100MB
- 26. Create an AI Powered Web App with OpenAI, Streamlit/1. Introduction .mp4 98MB
- 15. Explore Web Scraping Fundamentals for Data Science/3. Visual Studio Code .mp4 97MB
- 11. Wrangling Data with Pandas for Data Science/5. Clean and Manipulate Data .mp4 96MB
- 5. Explore Strings and Sequences for Data Science/4. Working with Strings .mp4 96MB
- 9. Use Python Built-In Methods for Data Science/6. Numpy and Pandas .mp4 95MB
- 1. Explore Data Science Domains and Roles/2. What is Data Science .mp4 95MB
- 12. Work with Arrays Using Numpy Data Science Library/3. Numpy Vs Pandas .mp4 95MB
- 17. Use GitHub Repositories for Data Science/5. Hosting Datasets for use in Jupyter Notebook .mp4 94MB
- 19. Evaluate Complexity and Memory for Data Science/2. Complexity Analysis and Memory .mp4 93MB
- 14. Visualize Data with Seaborn for Data Science/3. Plotting with Seaborn .mp4 93MB
- 16. Collect Web Data with Python and BeautifulSoup/3. The find() Method Part 1 .mp4 92MB
- 7. Write Reusable Python Functions for Data Science/2. Comparison and Logical Operators .mp4 89MB
- 8. Write Loops to Automate Tasks for Data Science/4. if Statements Part 2 .mp4 89MB
- 11. Wrangling Data with Pandas for Data Science/4. EDA (Exploratory Data Analysis) .mp4 86MB
- 18. Analyze Core Data Structures for Data Science/2. What are Data Structures .mp4 85MB
- 17. Use GitHub Repositories for Data Science/4. Create an Online Repo and Push Your Code to GitHub .mp4 85MB
- 1. Explore Data Science Domains and Roles/4. Data Science Development Environments .mp4 84MB
- 2. Access the Command Line for Data Science/5. Create Projects and Workflows .mp4 83MB
- 25. Query OpenAI's Language Model API with Google's Colab/1. Introduction.mp4 83MB
- 16. Collect Web Data with Python and BeautifulSoup/6. The find_all() Method Part 2 .mp4 82MB
- 14. Visualize Data with Seaborn for Data Science/4. Customizing Plots .mp4 82MB
- 8. Write Loops to Automate Tasks for Data Science/2. Functions Review .mp4 82MB
- 6. Explore Math Operators and LaTex for Data Science/2. Python and Math .mp4 82MB
- 26. Create an AI Powered Web App with OpenAI, Streamlit/2. What is Streamlit .mp4 81MB
- 2. Access the Command Line for Data Science/3. macOS Terminal, Git for Windows, and Linux Emulators .mp4 81MB
- 7. Write Reusable Python Functions for Data Science/4. If statements and Functions .mp4 80MB
- 13. Visualizing Data with Matplotlib for Data Science/4. Customizing Plots .mp4 80MB
- 11. Wrangling Data with Pandas for Data Science/2. What is Pandas Part 1 .mp4 79MB
- 25. Query OpenAI's Language Model API with Google's Colab/6. Bonus Use Case White Paper Summarization.mp4 79MB
- 26. Create an AI Powered Web App with OpenAI, Streamlit/4. Designing an AI Web App .mp4 78MB
- 6. Explore Math Operators and LaTex for Data Science/5. Built-in Python Functions .mp4 78MB
- 23. Perform EDA with R and Python for Data Science/4. Perform Exploratory Data Analysis (EDA) Part I .mp4 76MB
- 22. Implement and Compare R Data Structures/6. Matrix Calculations .mp4 76MB
- 11. Wrangling Data with Pandas for Data Science/1. Introduction .mp4 75MB
- 23. Perform EDA with R and Python for Data Science/5. Challenge .mp4 75MB
- 10. Write Code using OOP Concepts for Data Science/5. EDA Summary Statistics .mp4 75MB
- 7. Write Reusable Python Functions for Data Science/3. Writing Functions .mp4 74MB
- 9. Use Python Built-In Methods for Data Science/3. List Methods .mp4 72MB
- 25. Query OpenAI's Language Model API with Google's Colab/5. Time Complexity.mp4 72MB
- 11. Wrangling Data with Pandas for Data Science/3. What is Pandas Part 2 .mp4 72MB
- 24. Explore AI Language Models and OpenAI's ChatGPT/1. Introduction.mp4 72MB
- 7. Write Reusable Python Functions for Data Science/5. Understanding Functions .mp4 71MB
- 14. Visualize Data with Seaborn for Data Science/1. Introduction -3.mp4 69MB
- 6. Explore Math Operators and LaTex for Data Science/3. Math Operators .mp4 69MB
- 12. Work with Arrays Using Numpy Data Science Library/5. Array Operations, Array Methods and Functions .mp4 68MB
- 24. Explore AI Language Models and OpenAI's ChatGPT/3. OpenAI GPT-3 Language Models.mp4 67MB
- 7. Write Reusable Python Functions for Data Science/7. Asking for Input .mp4 67MB
- 10. Write Code using OOP Concepts for Data Science/4. EDA Dimensions .mp4 66MB
- 3. Set Up a Data Science Development Environment/6. Starting a Jupyter Notebook and Session .mp4 66MB
- 7. Write Reusable Python Functions for Data Science/6. Pseudocode .mp4 66MB
- 3. Set Up a Data Science Development Environment/5. Install Jupyter Notebook .mp4 64MB
- 3. Set Up a Data Science Development Environment/2. Install Anaconda macOS .mp4 64MB
- 26. Create an AI Powered Web App with OpenAI, Streamlit/6. HungryBear Production Code Part 1 .mp4 64MB
- 12. Work with Arrays Using Numpy Data Science Library/4. Creating and Manipulating Arrays .mp4 63MB
- 17. Use GitHub Repositories for Data Science/3. What is GitHub .mp4 62MB
- 4. Explore Python Data Types for Data Science/8. Collections Tuples, and Sets .mp4 62MB
- 17. Use GitHub Repositories for Data Science/2. What is Git .mp4 61MB
- 1. Explore Data Science Domains and Roles/7. The Data Science Roadmap .mp4 61MB
- 4. Explore Python Data Types for Data Science/3. Primitive & Non-Primitive Data Types, Part 2 Data Types in Jupyter Notebook .mp4 61MB
- 10. Write Code using OOP Concepts for Data Science/6. EDA Complete with Histograms .mp4 60MB
- 22. Implement and Compare R Data Structures/5. Operations and Calculations .mp4 59MB
- 6. Explore Math Operators and LaTex for Data Science/7. LaTex for Equations and Formulas .mp4 59MB
- 5. Explore Strings and Sequences for Data Science/7. Slicing .mp4 59MB
- 8. Write Loops to Automate Tasks for Data Science/5. for Loops .mp4 58MB
- 20. Apply Big O Notation Concepts for Data Science/2. Big O Notation .mp4 57MB
- 22. Implement and Compare R Data Structures/2. R and Python Data Structures Part 1 Vectors .mp4 57MB
- 20. Apply Big O Notation Concepts for Data Science/3. Big O Notation and Time Complexity Visualization .mp4 57MB
- 8. Write Loops to Automate Tasks for Data Science/6. while Loops .mp4 56MB
- 16. Collect Web Data with Python and BeautifulSoup/1. Introduction .mp4 55MB
- 9. Use Python Built-In Methods for Data Science/4. Dictionary Review .mp4 54MB
- 9. Use Python Built-In Methods for Data Science/5. Dictionary Methods .mp4 54MB
- 15. Explore Web Scraping Fundamentals for Data Science/5. CSS .mp4 53MB
- 12. Work with Arrays Using Numpy Data Science Library/2. What is Numpy .mp4 53MB
- 5. Explore Strings and Sequences for Data Science/6. Indexing .mp4 53MB
- 3. Set Up a Data Science Development Environment/4. Virtual Environments with Conda .mp4 51MB
- 1. Explore Data Science Domains and Roles/5. What is Anaconda .mp4 48MB
- 9. Use Python Built-In Methods for Data Science/1. Introduction Python Built-in Methods .mp4 47MB
- 6. Explore Math Operators and LaTex for Data Science/6. Scientific Notation .mp4 46MB
- 3. Set Up a Data Science Development Environment/8. Explore Visual Code for Data Science .mp4 46MB
- 15. Explore Web Scraping Fundamentals for Data Science/4. HTML .mp4 46MB
- 25. Query OpenAI's Language Model API with Google's Colab/3. API Authentication.mp4 45MB
- 5. Explore Strings and Sequences for Data Science/1. Introduction .mp4 45MB
- 4. Explore Python Data Types for Data Science/4. Numbers Integers and Floats .mp4 44MB
- 1. Explore Data Science Domains and Roles/6. Data Science Roles .mp4 43MB
- 4. Explore Python Data Types for Data Science/6. Collections Lists .mp4 43MB
- 5. Explore Strings and Sequences for Data Science/2. Working with Variables .mp4 43MB
- 22. Implement and Compare R Data Structures/3. R and Python Data Structures Part 2 Arrays and Lists .mp4 41MB
- 15. Explore Web Scraping Fundamentals for Data Science/2. How the Internet Works .mp4 39MB
- 17. Use GitHub Repositories for Data Science/1. Introduction -2.mp4 38MB
- 20. Apply Big O Notation Concepts for Data Science/4. Quadratic time .mp4 38MB
- 3. Set Up a Data Science Development Environment/1. Introduction .mp4 37MB
- 4. Explore Python Data Types for Data Science/5. Text Strings and Bools .mp4 37MB
- 13. Visualizing Data with Matplotlib for Data Science/1. Introduction .mp4 36MB
- 24. Explore AI Language Models and OpenAI's ChatGPT/4. What is ChatGPT and How Does it Work Under the Hood.mp4 35MB
- 4. Explore Python Data Types for Data Science/2. Primitive & Non-Primitive Data Types, Part 1 Conda Environment and GitHub .mp4 35MB
- 16. Collect Web Data with Python and BeautifulSoup/2. What is BeautifulSoup .mp4 34MB
- 5. Explore Strings and Sequences for Data Science/5. String Formatting .mp4 34MB
- 6. Explore Math Operators and LaTex for Data Science/1. Introduction .mp4 33MB
- 26. Create an AI Powered Web App with OpenAI, Streamlit/3. What is Streamlit Community Cloud .mp4 32MB
- 5. Explore Strings and Sequences for Data Science/3. Leaving Comments .mp4 32MB
- 22. Implement and Compare R Data Structures/4. R and Python Data Structures Part 3 Data Frames .mp4 31MB
- 6. Explore Math Operators and LaTex for Data Science/4. Boolean Values .mp4 31MB
- 3. Set Up a Data Science Development Environment/3. Install Anaconda Windows .mp4 29MB
- 17. Use GitHub Repositories for Data Science/6. Challenge .mp4 29MB
- 15. Explore Web Scraping Fundamentals for Data Science/1. Introduction .mp4 27MB
- 4. Explore Python Data Types for Data Science/1. Introduction -3.mp4 25MB
- 1. Explore Data Science Domains and Roles/1. Explore Data Science Domains and Roles .mp4 24MB
- 7. Write Reusable Python Functions for Data Science/1. Introduction .mp4 24MB
- 14. Visualize Data with Seaborn for Data Science/5. Real-world Notebook .mp4 22MB
- 8. Write Loops to Automate Tasks for Data Science/1. Introduction - Loops to Automate Tasks .mp4 21MB
- 23. Perform EDA with R and Python for Data Science/1. Introduction .mp4 19MB
- 3. Set Up a Data Science Development Environment/7. Closing a Jupyter Notebook Session .mp4 14MB