|
|
1. Explore Data Science Domains and Roles .mp4
|
MP4
|
24.1 MB
|
|
|
1. Introduction - Loops to Automate Tasks .mp4
|
MP4
|
21.1 MB
|
|
|
1. Introduction - Programming for Data Science CBT Nuggets-3.mp4
|
MP4
|
144 MB
|
|
|
1. Introduction -2.mp4
|
MP4
|
38.4 MB
|
|
|
1. Introduction -3.mp4
|
MP4
|
24.9 MB
|
|
|
1. Introduction .mp4
|
MP4
|
24 MB
|
|
|
1. Introduction Python Built-in Methods .mp4
|
MP4
|
46.9 MB
|
|
|
1. Introduction.mp4
|
MP4
|
82.9 MB
|
|
|
2. Bare Bones Completion.mp4
|
MP4
|
102.6 MB
|
|
|
2. Big O Notation .mp4
|
MP4
|
57.4 MB
|
|
|
2. Comparison and Logical Operators .mp4
|
MP4
|
88.8 MB
|
|
|
2. Complexity Analysis and Memory .mp4
|
MP4
|
93.5 MB
|
|
|
2. Functions Review .mp4
|
MP4
|
81.9 MB
|
|
|
2. How the Internet Works .mp4
|
MP4
|
39.2 MB
|
|
|
2. Install Anaconda macOS .mp4
|
MP4
|
64 MB
|
|
|
2. List Review .mp4
|
MP4
|
107.1 MB
|
|
|
2. Load and Prepare the Dataset (EDA light) .mp4
|
MP4
|
104.5 MB
|
|
|
2. Matplotlib vs Seaborn .mp4
|
MP4
|
149.4 MB
|
|
|
2. Primitive & Non-Primitive Data Types, Part 1 Conda Environment and GitHub .mp4
|
MP4
|
35 MB
|
|
|
2. Programming Styles .mp4
|
MP4
|
123.8 MB
|
|
|
2. Python and Math .mp4
|
MP4
|
81.5 MB
|
|
|
2. R and Python Data Structures Part 1 Vectors .mp4
|
MP4
|
57.2 MB
|
|
|
2. What are Data Structures .mp4
|
MP4
|
85.2 MB
|
|
|
2. What is AI.mp4
|
MP4
|
131.1 MB
|
|
|
2. What is BeautifulSoup .mp4
|
MP4
|
34 MB
|
|
|
2. What is Data Science .mp4
|
MP4
|
95.4 MB
|
|
|
2. What is Git .mp4
|
MP4
|
61.2 MB
|
|
|
2. What is Matplotlib .mp4
|
MP4
|
161.5 MB
|
|
|
2. What is Numpy .mp4
|
MP4
|
52.9 MB
|
|
|
2. What is Pandas Part 1 .mp4
|
MP4
|
79.1 MB
|
|
|
2. What is R and Why Should I Learn it in 2023 .mp4
|
MP4
|
167.8 MB
|
|
|
2. What is Streamlit .mp4
|
MP4
|
81.2 MB
|
|
|
2. What is a command-line, terminal, and Shell .mp4
|
MP4
|
137.4 MB
|
|
|
2. Working with Variables .mp4
|
MP4
|
42.7 MB
|
|
|
3. API Authentication.mp4
|
MP4
|
45.3 MB
|
|
|
3. Algorithm Comparison .mp4
|
MP4
|
121.9 MB
|
|
|
3. Big O Notation and Time Complexity Visualization .mp4
|
MP4
|
57.1 MB
|
|
|
3. Data Science Tools .mp4
|
MP4
|
102.3 MB
|
|
|
3. Fields in the dataset from Kaggle .mp4
|
MP4
|
155.4 MB
|
|
|
3. Getting Started with R and Google Colab .mp4
|
MP4
|
176.8 MB
|
|
|
3. Install Anaconda Windows .mp4
|
MP4
|
29 MB
|
|
|
3. Leaving Comments .mp4
|
MP4
|
31.6 MB
|
|
|
3. List Methods .mp4
|
MP4
|
71.9 MB
|
|
|
3. Math Operators .mp4
|
MP4
|
69.1 MB
|
|
|
3. Numpy Vs Pandas .mp4
|
MP4
|
95 MB
|
|
|
3. OpenAI GPT-3 Language Models.mp4
|
MP4
|
67.4 MB
|
|
|
3. Perform Exploratory Data Analysis (EDA) Part II .mp4
|
MP4
|
116.1 MB
|
|
|
3. Plotting with Seaborn .mp4
|
MP4
|
92.9 MB
|
|
|
3. Primitive & Non-Primitive Data Types, Part 2 Data Types in Jupyter Notebook .mp4
|
MP4
|
60.9 MB
|
|
|
3. Python Basic Data Structure Limitations .mp4
|
MP4
|
124.7 MB
|
|
|
3. Python Class Objects .mp4
|
MP4
|
169.4 MB
|
|
|
3. R and Python Data Structures Part 2 Arrays and Lists .mp4
|
MP4
|
40.5 MB
|
|
|
3. The find() Method Part 1 .mp4
|
MP4
|
91.8 MB
|
|
|
3. Visual Studio Code .mp4
|
MP4
|
97 MB
|
|
|
3. What is GitHub .mp4
|
MP4
|
62 MB
|
|
|
3. What is Pandas Part 2 .mp4
|
MP4
|
71.6 MB
|
|
|
3. What is Streamlit Community Cloud .mp4
|
MP4
|
32.3 MB
|
|
|
3. Writing Functions .mp4
|
MP4
|
74.4 MB
|
|
|
3. if Statements Part 1 .mp4
|
MP4
|
123.5 MB
|
|
|
3. macOS Terminal, Git for Windows, and Linux Emulators .mp4
|
MP4
|
80.9 MB
|
|
|
4. Basic Linux Commands .mp4
|
MP4
|
105.6 MB
|
|
|
4. Boolean Values .mp4
|
MP4
|
30.7 MB
|
|
|
4. Create an Online Repo and Push Your Code to GitHub .mp4
|
MP4
|
84.8 MB
|
|
|
4. Creating a Completion.mp4
|
MP4
|
114.6 MB
|
|
|
4. Creating and Manipulating Arrays .mp4
|
MP4
|
63.2 MB
|
|
|
4. Customizing Plots .mp4
|
MP4
|
82.1 MB
|
|
|
4. Data Science Development Environments .mp4
|
MP4
|
83.6 MB
|
|
|
4. Data Structures Deep Dive .mp4
|
MP4
|
141.5 MB
|
|
|
4. Designing an AI Web App .mp4
|
MP4
|
78.5 MB
|
|
|
4. Dictionary Review .mp4
|
MP4
|
53.5 MB
|
|
|
4. EDA (Exploratory Data Analysis) .mp4
|
MP4
|
85.6 MB
|
|
|
4. EDA Dimensions .mp4
|
MP4
|
66.5 MB
|
|
|
4. HTML .mp4
|
MP4
|
45.7 MB
|
|
|
4. If statements and Functions .mp4
|
MP4
|
80.1 MB
|
|
|
4. Numbers Integers and Floats .mp4
|
MP4
|
43.7 MB
|
|
|
4. Pandas Data Types .mp4
|
MP4
|
210.6 MB
|
|
|
4. Perform Exploratory Data Analysis (EDA) Part I .mp4
|
MP4
|
76.3 MB
|
|
|
4. Quadratic time .mp4
|
MP4
|
38.2 MB
|
|
|
4. R Data Types .mp4
|
MP4
|
101 MB
|
|
|
4. R and Python Data Structures Part 3 Data Frames .mp4
|
MP4
|
30.8 MB
|
|
|
4. The find() Method Part 2 .mp4
|
MP4
|
129.4 MB
|
|
|
4. Virtual Environments with Conda .mp4
|
MP4
|
50.6 MB
|
|
|
4. What is ChatGPT and How Does it Work Under the Hood.mp4
|
MP4
|
35.4 MB
|
|
|
4. Working with Strings .mp4
|
MP4
|
96 MB
|
|
|
4. if Statements Part 2 .mp4
|
MP4
|
88.7 MB
|
|
|
5. Array Operations, Array Methods and Functions .mp4
|
MP4
|
67.6 MB
|
|
|
5. Built-in Python Functions .mp4
|
MP4
|
77.6 MB
|
|
|
5. CSS .mp4
|
MP4
|
53.3 MB
|
|
|
5. Challenge .mp4
|
MP4
|
74.7 MB
|
|
|
5. Clean and Manipulate Data .mp4
|
MP4
|
96.4 MB
|
|
|
5. Create Projects and Workflows .mp4
|
MP4
|
83 MB
|
|
|
5. Dictionary Methods .mp4
|
MP4
|
53.5 MB
|
|
|
5. EDA Summary Statistics .mp4
|
MP4
|
74.5 MB
|
|
|
5. Factorial time .mp4
|
MP4
|
132.6 MB
|
|
|
5. Hosting Datasets for use in Jupyter Notebook .mp4
|
MP4
|
94 MB
|
|
|
5. HungryBear Non-production Code .mp4
|
MP4
|
110.6 MB
|
|
|
5. Install Jupyter Notebook .mp4
|
MP4
|
64.3 MB
|
|
|
5. Operations and Calculations .mp4
|
MP4
|
59.3 MB
|
|
|
5. Prompts and Completions.mp4
|
MP4
|
185.4 MB
|
|
|
5. Real-world Notebook .mp4
|
MP4
|
22 MB
|
|
|
5. Social Network Analysis Use Case .mp4
|
MP4
|
118.3 MB
|
|
|
5. String Formatting .mp4
|
MP4
|
33.7 MB
|
|
|
5. Text Strings and Bools .mp4
|
MP4
|
36.7 MB
|
|
|
5. The find_all() Method Part 1 .mp4
|
MP4
|
135.7 MB
|
|
|
5. Time Complexity.mp4
|
MP4
|
71.8 MB
|
|
|
5. Understanding Functions .mp4
|
MP4
|
71.3 MB
|
|
|
5. What is Anaconda .mp4
|
MP4
|
48.4 MB
|
|
|
5. for Loops .mp4
|
MP4
|
58.4 MB
|
|
|
6. Bonus Use Case White Paper Summarization.mp4
|
MP4
|
78.8 MB
|
|
|
6. Challenge .mp4
|
MP4
|
28.9 MB
|
|
|
6. Coffee Shop Complexity .mp4
|
MP4
|
109.6 MB
|
|
|
6. Collections Lists .mp4
|
MP4
|
43.3 MB
|
|
|
6. Data Science Roles .mp4
|
MP4
|
43.4 MB
|
|
|
6. Data Visualization with Pandas (it does that also!) .mp4
|
MP4
|
103.3 MB
|
|
|
6. EDA Complete with Histograms .mp4
|
MP4
|
60.2 MB
|
|
|
6. HungryBear Production Code Part 1 .mp4
|
MP4
|
64 MB
|
|
|
6. Indexing .mp4
|
MP4
|
52.7 MB
|
|
|
6. Matrix Calculations .mp4
|
MP4
|
76.2 MB
|
|
|
6. Numpy and Pandas .mp4
|
MP4
|
95.4 MB
|
|
|
6. Pseudocode .mp4
|
MP4
|
66.2 MB
|
|
|
6. Scientific Notation .mp4
|
MP4
|
46.1 MB
|
|
|
6. Starting a Jupyter Notebook and Session .mp4
|
MP4
|
66.4 MB
|
|
|
6. The find_all() Method Part 2 .mp4
|
MP4
|
82.3 MB
|
|
|
6. Web Scraping with BeautifulSoup .mp4
|
MP4
|
148.9 MB
|
|
|
6. while Loops .mp4
|
MP4
|
56.2 MB
|
|
|
7. Asking for Input .mp4
|
MP4
|
67.2 MB
|
|
|
7. Challenge .mp4
|
MP4
|
112.7 MB
|
|
|
7. Closing a Jupyter Notebook Session .mp4
|
MP4
|
13.6 MB
|
|
|
7. Collections Dictionaries .mp4
|
MP4
|
132.1 MB
|
|
|
7. Data Exploration .mp4
|
MP4
|
133.4 MB
|
|
|
7. HungryBear Production Code Part 2 .mp4
|
MP4
|
133.3 MB
|
|
|
7. LaTex for Equations and Formulas .mp4
|
MP4
|
59.3 MB
|
|
|
7. Slicing .mp4
|
MP4
|
59 MB
|
|
|
7. The Data Science Roadmap .mp4
|
MP4
|
61.1 MB
|
|
|
8. Collections Tuples, and Sets .mp4
|
MP4
|
61.6 MB
|
|
|
8. Explore Visual Code for Data Science .mp4
|
MP4
|
45.9 MB
|
