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Programming for Data Science
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[TutsNode.net] - Programming for Data Science (Size: 12.40 GB) (Files: 311)
[TutsNode.net] - Programming for Data Science
19. Evaluate Complexity and Memory for Data Science
4. Pandas Data Types .mp4
1. Introduction - Programming for Data Science CBT Nuggets-3.mp4
3. Algorithm Comparison .mp4
2. Complexity Analysis and Memory .mp4
21. Explore R Fundamentals for Data Science
1. Introduction -3.mp4
3. Getting Started with R and Google Colab .mp4
2. What is R and Why Should I Learn it in 2023 .mp4
4. R Data Types .mp4
24. Explore AI Language Models and OpenAI's ChatGPT
5. Prompts and Completions.mp4
2. What is AI.mp4
1. Introduction.mp4
3. OpenAI GPT-3 Language Models.mp4
4. What is ChatGPT and How Does it Work Under the Hood.mp4
2. Access the Command Line for Data Science
1. Introduction .mp4
2. What is a command-line, terminal, and Shell .mp4
4. Basic Linux Commands .mp4
5. Create Projects and Workflows .mp4
3. macOS Terminal, Git for Windows, and Linux Emulators .mp4
10. Write Code using OOP Concepts for Data Science
3. Python Class Objects .mp4
1. Introduction .mp4
2. Programming Styles .mp4
5. EDA Summary Statistics .mp4
4. EDA Dimensions .mp4
6. EDA Complete with Histograms .mp4
13. Visualizing Data with Matplotlib for Data Science
2. What is Matplotlib .mp4
3. Fields in the dataset from Kaggle .mp4
4. Customizing Plots .mp4
1. Introduction .mp4
14. Visualize Data with Seaborn for Data Science
2. Matplotlib vs Seaborn .mp4
3. Plotting with Seaborn .mp4
4. Customizing Plots .mp4
1. Introduction -3.mp4
5. Real-world Notebook .mp4
15. Explore Web Scraping Fundamentals for Data Science
6. Web Scraping with BeautifulSoup .mp4
3. Visual Studio Code .mp4
5. CSS .mp4
4. HTML .mp4
2. How the Internet Works .mp4
1. Introduction .mp4
18. Analyze Core Data Structures for Data Science
4. Data Structures Deep Dive .mp4
1. Introduction .mp4
3. Python Basic Data Structure Limitations .mp4
5. Social Network Analysis Use Case .mp4
2. What are Data Structures .mp4
16. Collect Web Data with Python and BeautifulSoup
5. The find_all() Method Part 1 .mp4
4. The find() Method Part 2 .mp4
3. The find() Method Part 1 .mp4
6. The find_all() Method Part 2 .mp4
1. Introduction .mp4
2. What is BeautifulSoup .mp4
22. Implement and Compare R Data Structures
7. Data Exploration .mp4
1. Introduction .mp4
6. Matrix Calculations .mp4
5. Operations and Calculations .mp4
2. R and Python Data Structures Part 1 Vectors .mp4
3. R and Python Data Structures Part 2 Arrays and Lists .mp4
4. R and Python Data Structures Part 3 Data Frames .mp4
26. Create an AI Powered Web App with OpenAI, Streamlit
7. HungryBear Production Code Part 2 .mp4
5. HungryBear Non-production Code .mp4
1. Introduction .mp4
2. What is Streamlit .mp4
4. Designing an AI Web App .mp4
6. HungryBear Production Code Part 1 .mp4
3. What is Streamlit Community Cloud .mp4
20. Apply Big O Notation Concepts for Data Science
5. Factorial time .mp4
1. Introduction .mp4
6. Coffee Shop Complexity .mp4
2. Big O Notation .mp4
3. Big O Notation and Time Complexity Visualization .mp4
4. Quadratic time .mp4
4. Explore Python Data Types for Data Science
7. Collections Dictionaries .mp4
8. Collections Tuples, and Sets .mp4
3. Primitive & Non-Primitive Data Types, Part 2 Data Types in Jupyter Notebook .mp4
4. Numbers Integers and Floats .mp4
6. Collections Lists .mp4
5. Text Strings and Bools .mp4
2. Primitive & Non-Primitive Data Types, Part 1 Conda Environment and GitHub .mp4
1. Introduction -3.mp4
8. Write Loops to Automate Tasks for Data Science
3. if Statements Part 1 .mp4
7. Challenge .mp4
4. if Statements Part 2 .mp4
2. Functions Review .mp4
5. for Loops .mp4
6. while Loops .mp4
1. Introduction - Loops to Automate Tasks .mp4
23. Perform EDA with R and Python for Data Science
3. Perform Exploratory Data Analysis (EDA) Part II .mp4
2. Load and Prepare the Dataset (EDA light) .mp4
4. Perform Exploratory Data Analysis (EDA) Part I .mp4
5. Challenge .mp4
1. Introduction .mp4
25. Query OpenAI's Language Model API with Google's Colab
4. Creating a Completion.mp4
2. Bare Bones Completion.mp4
1. Introduction.mp4
6. Bonus Use Case White Paper Summarization.mp4
5. Time Complexity.mp4
3. API Authentication.mp4
9. Use Python Built-In Methods for Data Science
2. List Review .mp4
6. Numpy and Pandas .mp4
3. List Methods .mp4
4. Dictionary Review .mp4
5. Dictionary Methods .mp4
1. Introduction Python Built-in Methods .mp4
11. Wrangling Data with Pandas for Data Science
6. Data Visualization with Pandas (it does that also!) .mp4
5. Clean and Manipulate Data .mp4
4. EDA (Exploratory Data Analysis) .mp4
2. What is Pandas Part 1 .mp4
1. Introduction .mp4
3. What is Pandas Part 2 .mp4
1. Explore Data Science Domains and Roles
3. Data Science Tools .mp4
2. What is Data Science .mp4
4. Data Science Development Environments .mp4
7. The Data Science Roadmap .mp4
5. What is Anaconda .mp4
6. Data Science Roles .mp4
1. Explore Data Science Domains and Roles .mp4
12. Work with Arrays Using Numpy Data Science Library
1. Introduction -3.mp4
3. Numpy Vs Pandas .mp4
5. Array Operations, Array Methods and Functions .mp4
4. Creating and Manipulating Arrays .mp4
2. What is Numpy .mp4
5. Explore Strings and Sequences for Data Science
4. Working with Strings .mp4
7. Slicing .mp4
6. Indexing .mp4
1. Introduction .mp4
2. Working with Variables .mp4
5. String Formatting .mp4
3. Leaving Comments .mp4
17. Use GitHub Repositories for Data Science
5. Hosting Datasets for use in Jupyter Notebook .mp4
4. Create an Online Repo and Push Your Code to GitHub .mp4
3. What is GitHub .mp4
2. What is Git .mp4
1. Introduction -2.mp4
6. Challenge .mp4
7. Write Reusable Python Functions for Data Science
2. Comparison and Logical Operators .mp4
4. If statements and Functions .mp4
3. Writing Functions .mp4
5. Understanding Functions .mp4
7. Asking for Input .mp4
6. Pseudocode .mp4
1. Introduction .mp4
6. Explore Math Operators and LaTex for Data Science
2. Python and Math .mp4
5. Built-in Python Functions .mp4
3. Math Operators .mp4
7. LaTex for Equations and Formulas .mp4
6. Scientific Notation .mp4
1. Introduction .mp4
4. Boolean Values .mp4
3. Set Up a Data Science Development Environment
6. Starting a Jupyter Notebook and Session .mp4
5. Install Jupyter Notebook .mp4
2. Install Anaconda macOS .mp4
4. Virtual Environments with Conda .mp4
8. Explore Visual Code for Data Science .mp4
1. Introduction .mp4
3. Install Anaconda Windows .mp4
7. Closing a Jupyter Notebook Session .mp4
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