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Checked by:
Category:
Language:
English
Total Size:
12.2 GB
Info Hash:
00F81955642021CC3F0D7B904E6F1124F462308F
Added By:
Added:
Oct. 22, 2023, 6:47 a.m.
Stats:
|
(Last updated: May 17, 2025, 6:55 p.m.)
| File | Size |
|---|---|
| 1. Explore Data Science Domains and Roles .mp4 | 24.1 MB |
| 2. What is Data Science .mp4 | 95.4 MB |
| 3. Data Science Tools .mp4 | 102.3 MB |
| 4. Data Science Development Environments .mp4 | 83.6 MB |
| 5. What is Anaconda .mp4 | 48.4 MB |
| 6. Data Science Roles .mp4 | 43.4 MB |
| 7. The Data Science Roadmap .mp4 | 61.1 MB |
| 1. Introduction .mp4 | 125.1 MB |
| 2. Programming Styles .mp4 | 123.8 MB |
| 3. Python Class Objects .mp4 | 169.4 MB |
| 4. EDA Dimensions .mp4 | 66.5 MB |
| 5. EDA Summary Statistics .mp4 | 74.5 MB |
| 6. EDA Complete with Histograms .mp4 | 60.2 MB |
| 1. Introduction .mp4 | 75.4 MB |
| 2. What is Pandas Part 1 .mp4 | 79.1 MB |
| 3. What is Pandas Part 2 .mp4 | 71.6 MB |
| 4. EDA (Exploratory Data Analysis) .mp4 | 85.6 MB |
| 5. Clean and Manipulate Data .mp4 | 96.4 MB |
| 6. Data Visualization with Pandas (it does that also!) .mp4 | 103.3 MB |
| 1. Introduction -3.mp4 | 99.7 MB |
| 2. What is Numpy .mp4 | 52.9 MB |
| 3. Numpy Vs Pandas .mp4 | 95.0 MB |
| 4. Creating and Manipulating Arrays .mp4 | 63.2 MB |
| 5. Array Operations, Array Methods and Functions .mp4 | 67.6 MB |
| 1. Introduction .mp4 | 36.1 MB |
| 2. What is Matplotlib .mp4 | 161.5 MB |
| 3. Fields in the dataset from Kaggle .mp4 | 155.4 MB |
| 4. Customizing Plots .mp4 | 80.0 MB |
| 1. Introduction -3.mp4 | 69.4 MB |
| 2. Matplotlib vs Seaborn .mp4 | 149.4 MB |
| 3. Plotting with Seaborn .mp4 | 92.9 MB |
| 4. Customizing Plots .mp4 | 82.1 MB |
| 5. Real-world Notebook .mp4 | 22.0 MB |
| 1. Introduction .mp4 | 26.9 MB |
| 2. How the Internet Works .mp4 | 39.2 MB |
| 3. Visual Studio Code .mp4 | 97.0 MB |
| 4. HTML .mp4 | 45.7 MB |
| 5. CSS .mp4 | 53.3 MB |
| 6. Web Scraping with BeautifulSoup .mp4 | 148.9 MB |
| 1. Introduction .mp4 | 55.1 MB |
| 2. What is BeautifulSoup .mp4 | 34.0 MB |
| 3. The find() Method Part 1 .mp4 | 91.8 MB |
| 4. The find() Method Part 2 .mp4 | 129.4 MB |
| 5. The find_all() Method Part 1 .mp4 | 135.7 MB |
| 6. The find_all() Method Part 2 .mp4 | 82.3 MB |
| 1. Introduction -2.mp4 | 38.4 MB |
| 2. What is Git .mp4 | 61.2 MB |
| 3. What is GitHub .mp4 | 62.0 MB |
| 4. Create an Online Repo and Push Your Code to GitHub .mp4 | 84.8 MB |
| 5. Hosting Datasets for use in Jupyter Notebook .mp4 | 94.0 MB |
| 6. Challenge .mp4 | 28.9 MB |
| 1. Introduction .mp4 | 133.0 MB |
| 2. What are Data Structures .mp4 | 85.2 MB |
| 3. Python Basic Data Structure Limitations .mp4 | 124.7 MB |
| 4. Data Structures Deep Dive .mp4 | 141.5 MB |
| 5. Social Network Analysis Use Case .mp4 | 118.3 MB |
| 1. Introduction - Programming for Data Science CBT Nuggets-3.mp4 | 144.0 MB |
| 2. Complexity Analysis and Memory .mp4 | 93.5 MB |
| 3. Algorithm Comparison .mp4 | 121.9 MB |
| 4. Pandas Data Types .mp4 | 210.6 MB |
| 1. Introduction .mp4 | 170.8 MB |
| 2. What is a command-line, terminal, and Shell .mp4 | 137.4 MB |
| 3. macOS Terminal, Git for Windows, and Linux Emulators .mp4 | 80.9 MB |
| 4. Basic Linux Commands .mp4 | 105.6 MB |
| 5. Create Projects and Workflows .mp4 | 83.0 MB |
| 1. Introduction .mp4 | 131.8 MB |
| 2. Big O Notation .mp4 | 57.4 MB |
| 3. Big O Notation and Time Complexity Visualization .mp4 | 57.1 MB |
| 4. Quadratic time .mp4 | 38.2 MB |
| 5. Factorial time .mp4 | 132.6 MB |
| 6. Coffee Shop Complexity .mp4 | 109.6 MB |
| 1. Introduction -3.mp4 | 193.7 MB |
| 2. What is R and Why Should I Learn it in 2023 .mp4 | 167.8 MB |
| 3. Getting Started with R and Google Colab .mp4 | 176.8 MB |
| 4. R Data Types .mp4 | 101.0 MB |
| 1. Introduction .mp4 | 117.7 MB |
| 2. R and Python Data Structures Part 1 Vectors .mp4 | 57.2 MB |
| 3. R and Python Data Structures Part 2 Arrays and Lists .mp4 | 40.5 MB |
| 4. R and Python Data Structures Part 3 Data Frames .mp4 | 30.8 MB |
| 5. Operations and Calculations .mp4 | 59.3 MB |
| 6. Matrix Calculations .mp4 | 76.2 MB |
| 7. Data Exploration .mp4 | 133.4 MB |
| 1. Introduction .mp4 | 19.1 MB |
| 2. Load and Prepare the Dataset (EDA light) .mp4 | 104.5 MB |
| 3. Perform Exploratory Data Analysis (EDA) Part II .mp4 | 116.1 MB |
| 4. Perform Exploratory Data Analysis (EDA) Part I .mp4 | 76.3 MB |
| 5. Challenge .mp4 | 74.7 MB |
| 1. Introduction.mp4 | 71.6 MB |
| 2. What is AI.mp4 | 131.1 MB |
| 3. OpenAI GPT-3 Language Models.mp4 | 67.4 MB |
| 4. What is ChatGPT and How Does it Work Under the Hood.mp4 | 35.4 MB |
| 5. Prompts and Completions.mp4 | 185.4 MB |
| 1. Introduction.mp4 | 82.9 MB |
| 2. Bare Bones Completion.mp4 | 102.6 MB |
| 3. API Authentication.mp4 | 45.3 MB |
| 4. Creating a Completion.mp4 | 114.6 MB |
| 5. Time Complexity.mp4 | 71.8 MB |
| 6. Bonus Use Case White Paper Summarization.mp4 | 78.8 MB |
| 1. Introduction .mp4 | 98.3 MB |
| 2. What is Streamlit .mp4 | 81.2 MB |
| 3. What is Streamlit Community Cloud .mp4 | 32.3 MB |
| 4. Designing an AI Web App .mp4 | 78.5 MB |
| 5. HungryBear Non-production Code .mp4 | 110.6 MB |
| 6. HungryBear Production Code Part 1 .mp4 | 64.0 MB |
| 7. HungryBear Production Code Part 2 .mp4 | 133.3 MB |
| 1. Introduction .mp4 | 37.3 MB |
| 2. Install Anaconda macOS .mp4 | 64.0 MB |
| 3. Install Anaconda Windows .mp4 | 29.0 MB |
| 4. Virtual Environments with Conda .mp4 | 50.6 MB |
| 5. Install Jupyter Notebook .mp4 | 64.3 MB |
| 6. Starting a Jupyter Notebook and Session .mp4 | 66.4 MB |
| 7. Closing a Jupyter Notebook Session .mp4 | 13.6 MB |
| 8. Explore Visual Code for Data Science .mp4 | 45.9 MB |
| 1. Introduction -3.mp4 | 24.9 MB |
| 2. Primitive & Non-Primitive Data Types, Part 1 Conda Environment and GitHub .mp4 | 35.0 MB |
| 3. Primitive & Non-Primitive Data Types, Part 2 Data Types in Jupyter Notebook .mp4 | 60.9 MB |
| 4. Numbers Integers and Floats .mp4 | 43.7 MB |
| 5. Text Strings and Bools .mp4 | 36.7 MB |
| 6. Collections Lists .mp4 | 43.3 MB |
| 7. Collections Dictionaries .mp4 | 132.1 MB |
| 8. Collections Tuples, and Sets .mp4 | 61.6 MB |
| 1. Introduction .mp4 | 44.6 MB |
| 2. Working with Variables .mp4 | 42.7 MB |
| 3. Leaving Comments .mp4 | 31.6 MB |
| 4. Working with Strings .mp4 | 96.0 MB |
| 5. String Formatting .mp4 | 33.7 MB |
| 6. Indexing .mp4 | 52.7 MB |
| 7. Slicing .mp4 | 59.0 MB |
| 1. Introduction .mp4 | 32.7 MB |
| 2. Python and Math .mp4 | 81.5 MB |
| 3. Math Operators .mp4 | 69.1 MB |
| 4. Boolean Values .mp4 | 30.7 MB |
| 5. Built-in Python Functions .mp4 | 77.6 MB |
| 6. Scientific Notation .mp4 | 46.1 MB |
| 7. LaTex for Equations and Formulas .mp4 | 59.3 MB |
| 1. Introduction .mp4 | 24.0 MB |
| 2. Comparison and Logical Operators .mp4 | 88.8 MB |
| 3. Writing Functions .mp4 | 74.4 MB |
| 4. If statements and Functions .mp4 | 80.1 MB |
| 5. Understanding Functions .mp4 | 71.3 MB |
| 6. Pseudocode .mp4 | 66.2 MB |
| 7. Asking for Input .mp4 | 67.2 MB |
| 1. Introduction - Loops to Automate Tasks .mp4 | 21.1 MB |
| 2. Functions Review .mp4 | 81.9 MB |
| 3. if Statements Part 1 .mp4 | 123.5 MB |
| 4. if Statements Part 2 .mp4 | 88.7 MB |
| 5. for Loops .mp4 | 58.4 MB |
| 6. while Loops .mp4 | 56.2 MB |
| 7. Challenge .mp4 | 112.7 MB |
| 1. Introduction Python Built-in Methods .mp4 | 46.9 MB |
| 2. List Review .mp4 | 107.1 MB |
| 3. List Methods .mp4 | 71.9 MB |
| 4. Dictionary Review .mp4 | 53.5 MB |
| 5. Dictionary Methods .mp4 | 53.5 MB |
| 6. Numpy and Pandas .mp4 | 95.4 MB |
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