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Please note that this page does not hosts or makes available any of the listed filenames. You
cannot download any of those files from here.
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| 1. Explore Data Science Domains and Roles .mp4 |
24.12MB |
| 1. Introduction.mp4 |
71.61MB |
| 1. Introduction.mp4 |
82.88MB |
| 1. Introduction .mp4 |
125.08MB |
| 1. Introduction .mp4 |
75.41MB |
| 1. Introduction .mp4 |
36.11MB |
| 1. Introduction .mp4 |
26.88MB |
| 1. Introduction .mp4 |
55.10MB |
| 1. Introduction .mp4 |
133.00MB |
| 1. Introduction .mp4 |
170.83MB |
| 1. Introduction .mp4 |
131.78MB |
| 1. Introduction .mp4 |
117.68MB |
| 1. Introduction .mp4 |
19.12MB |
| 1. Introduction .mp4 |
98.27MB |
| 1. Introduction .mp4 |
37.30MB |
| 1. Introduction .mp4 |
44.60MB |
| 1. Introduction .mp4 |
32.71MB |
| 1. Introduction .mp4 |
23.98MB |
| 1. Introduction -2.mp4 |
38.37MB |
| 1. Introduction -3.mp4 |
99.73MB |
| 1. Introduction -3.mp4 |
69.41MB |
| 1. Introduction -3.mp4 |
193.71MB |
| 1. Introduction -3.mp4 |
24.85MB |
| 1. Introduction - Loops to Automate Tasks .mp4 |
21.11MB |
| 1. Introduction - Programming for Data Science CBT Nuggets-3.mp4 |
144.00MB |
| 1. Introduction Python Built-in Methods .mp4 |
46.95MB |
| 2. Bare Bones Completion.mp4 |
102.56MB |
| 2. Big O Notation .mp4 |
57.39MB |
| 2. Comparison and Logical Operators .mp4 |
88.80MB |
| 2. Complexity Analysis and Memory .mp4 |
93.48MB |
| 2. Functions Review .mp4 |
81.88MB |
| 2. How the Internet Works .mp4 |
39.23MB |
| 2. Install Anaconda macOS .mp4 |
64.05MB |
| 2. List Review .mp4 |
107.09MB |
| 2. Load and Prepare the Dataset (EDA light) .mp4 |
104.48MB |
| 2. Matplotlib vs Seaborn .mp4 |
149.37MB |
| 2. Primitive & Non-Primitive Data Types, Part 1 Conda Environment and GitHub .mp4 |
34.96MB |
| 2. Programming Styles .mp4 |
123.81MB |
| 2. Python and Math .mp4 |
81.54MB |
| 2. R and Python Data Structures Part 1 Vectors .mp4 |
57.24MB |
| 2. What are Data Structures .mp4 |
85.17MB |
| 2. What is a command-line, terminal, and Shell .mp4 |
137.41MB |
| 2. What is AI.mp4 |
131.06MB |
| 2. What is BeautifulSoup .mp4 |
34.03MB |
| 2. What is Data Science .mp4 |
95.39MB |
| 2. What is Git .mp4 |
61.15MB |
| 2. What is Matplotlib .mp4 |
161.46MB |
| 2. What is Numpy .mp4 |
52.86MB |
| 2. What is Pandas Part 1 .mp4 |
79.08MB |
| 2. What is R and Why Should I Learn it in 2023 .mp4 |
167.80MB |
| 2. What is Streamlit .mp4 |
81.15MB |
| 2. Working with Variables .mp4 |
42.73MB |
| 3. Algorithm Comparison .mp4 |
121.90MB |
| 3. API Authentication.mp4 |
45.25MB |
| 3. Big O Notation and Time Complexity Visualization .mp4 |
57.09MB |
| 3. Data Science Tools .mp4 |
102.34MB |
| 3. Fields in the dataset from Kaggle .mp4 |
155.40MB |
| 3. Getting Started with R and Google Colab .mp4 |
176.75MB |
| 3. if Statements Part 1 .mp4 |
123.50MB |
| 3. Install Anaconda Windows .mp4 |
29.03MB |
| 3. Leaving Comments .mp4 |
31.62MB |
| 3. List Methods .mp4 |
71.90MB |
| 3. macOS Terminal, Git for Windows, and Linux Emulators .mp4 |
80.92MB |
| 3. Math Operators .mp4 |
69.11MB |
| 3. Numpy Vs Pandas .mp4 |
94.97MB |
| 3. OpenAI GPT-3 Language Models.mp4 |
67.36MB |
| 3. Perform Exploratory Data Analysis (EDA) Part II .mp4 |
116.08MB |
| 3. Plotting with Seaborn .mp4 |
92.89MB |
| 3. Primitive & Non-Primitive Data Types, Part 2 Data Types in Jupyter Notebook .mp4 |
60.92MB |
| 3. Python Basic Data Structure Limitations .mp4 |
124.69MB |
| 3. Python Class Objects .mp4 |
169.35MB |
| 3. R and Python Data Structures Part 2 Arrays and Lists .mp4 |
40.55MB |
| 3. The find() Method Part 1 .mp4 |
91.83MB |
| 3. Visual Studio Code .mp4 |
96.97MB |
| 3. What is GitHub .mp4 |
62.01MB |
| 3. What is Pandas Part 2 .mp4 |
71.63MB |
| 3. What is Streamlit Community Cloud .mp4 |
32.25MB |
| 3. Writing Functions .mp4 |
74.39MB |
| 4. Basic Linux Commands .mp4 |
105.55MB |
| 4. Boolean Values .mp4 |
30.75MB |
| 4. Create an Online Repo and Push Your Code to GitHub .mp4 |
84.79MB |
| 4. Creating a Completion.mp4 |
114.59MB |
| 4. Creating and Manipulating Arrays .mp4 |
63.17MB |
| 4. Customizing Plots .mp4 |
79.96MB |
| 4. Customizing Plots .mp4 |
82.13MB |
| 4. Data Science Development Environments .mp4 |
83.58MB |
| 4. Data Structures Deep Dive .mp4 |
141.53MB |
| 4. Designing an AI Web App .mp4 |
78.50MB |
| 4. Dictionary Review .mp4 |
53.54MB |
| 4. EDA (Exploratory Data Analysis) .mp4 |
85.57MB |
| 4. EDA Dimensions .mp4 |
66.48MB |
| 4. HTML .mp4 |
45.74MB |
| 4. If statements and Functions .mp4 |
80.12MB |
| 4. if Statements Part 2 .mp4 |
88.66MB |
| 4. Numbers Integers and Floats .mp4 |
43.71MB |
| 4. Pandas Data Types .mp4 |
210.61MB |
| 4. Perform Exploratory Data Analysis (EDA) Part I .mp4 |
76.31MB |
| 4. Quadratic time .mp4 |
38.24MB |
| 4. R and Python Data Structures Part 3 Data Frames .mp4 |
30.79MB |
| 4. R Data Types .mp4 |
101.00MB |
| 4. The find() Method Part 2 .mp4 |
129.45MB |
| 4. Virtual Environments with Conda .mp4 |
50.55MB |
| 4. What is ChatGPT and How Does it Work Under the Hood.mp4 |
35.38MB |
| 4. Working with Strings .mp4 |
96.02MB |
| 5. Array Operations, Array Methods and Functions .mp4 |
67.58MB |
| 5. Built-in Python Functions .mp4 |
77.63MB |
| 5. Challenge .mp4 |
74.70MB |
| 5. Clean and Manipulate Data .mp4 |
96.36MB |
| 5. Create Projects and Workflows .mp4 |
82.95MB |
| 5. CSS .mp4 |
53.26MB |
| 5. Dictionary Methods .mp4 |
53.52MB |
| 5. EDA Summary Statistics .mp4 |
74.50MB |
| 5. Factorial time .mp4 |
132.61MB |
| 5. for Loops .mp4 |
58.45MB |
| 5. Hosting Datasets for use in Jupyter Notebook .mp4 |
94.05MB |
| 5. HungryBear Non-production Code .mp4 |
110.57MB |
| 5. Install Jupyter Notebook .mp4 |
64.27MB |
| 5. Operations and Calculations .mp4 |
59.29MB |
| 5. Prompts and Completions.mp4 |
185.37MB |
| 5. Real-world Notebook .mp4 |
22.03MB |
| 5. Social Network Analysis Use Case .mp4 |
118.33MB |
| 5. String Formatting .mp4 |
33.67MB |
| 5. Text Strings and Bools .mp4 |
36.70MB |
| 5. The find_all() Method Part 1 .mp4 |
135.68MB |
| 5. Time Complexity.mp4 |
71.82MB |
| 5. Understanding Functions .mp4 |
71.30MB |
| 5. What is Anaconda .mp4 |
48.42MB |
| 6. Bonus Use Case White Paper Summarization.mp4 |
78.80MB |
| 6. Challenge .mp4 |
28.92MB |
| 6. Coffee Shop Complexity .mp4 |
109.62MB |
| 6. Collections Lists .mp4 |
43.31MB |
| 6. Data Science Roles .mp4 |
43.44MB |
| 6. Data Visualization with Pandas (it does that also!) .mp4 |
103.29MB |
| 6. EDA Complete with Histograms .mp4 |
60.17MB |
| 6. HungryBear Production Code Part 1 .mp4 |
64.04MB |
| 6. Indexing .mp4 |
52.69MB |
| 6. Matrix Calculations .mp4 |
76.17MB |
| 6. Numpy and Pandas .mp4 |
95.42MB |
| 6. Pseudocode .mp4 |
66.19MB |
| 6. Scientific Notation .mp4 |
46.05MB |
| 6. Starting a Jupyter Notebook and Session .mp4 |
66.41MB |
| 6. The find_all() Method Part 2 .mp4 |
82.26MB |
| 6. Web Scraping with BeautifulSoup .mp4 |
148.94MB |
| 6. while Loops .mp4 |
56.19MB |
| 7. Asking for Input .mp4 |
67.15MB |
| 7. Challenge .mp4 |
112.70MB |
| 7. Closing a Jupyter Notebook Session .mp4 |
13.58MB |
| 7. Collections Dictionaries .mp4 |
132.09MB |
| 7. Data Exploration .mp4 |
133.38MB |
| 7. HungryBear Production Code Part 2 .mp4 |
133.31MB |
| 7. LaTex for Equations and Formulas .mp4 |
59.28MB |
| 7. Slicing .mp4 |
58.96MB |
| 7. The Data Science Roadmap .mp4 |
61.05MB |
| 8. Collections Tuples, and Sets .mp4 |
61.57MB |
| 8. Explore Visual Code for Data Science .mp4 |
45.88MB |