Crack the Wall Street Coder Interview with Beginner Price Prediction
01
Skill level
All levels
02
Sections
7
03
Lectures
46
04
Instructor
Team Mammoth
What's inside
This course includes.
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7
Sections
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Certificate of completion
Included
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Mobile and desktop access
Included
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AI learning assistance
Included
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Course content
Curriculum & lectures.
+ 00 Question Overview 1 lecture
00 Question Overview - Beginner Price Prediction
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+ 01 (Prerequisites) Pandas 25 lectures
00. Pandas Course Intro
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01. Intro to Pandas
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02. Installing Pandas
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03. Creating Pandas Series Part 1
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04. Creating Pandas Series Part 2
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05. Date Ranges
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06. Getting Elements from Series Part 1
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07. Getting Elements from Series Part 2
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08. Getting Properties of Series
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09. Modifying Series Part 1
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10. Modifying Series Part 2
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11. Operations on Series
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12. Series Comparisons and Iteration
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13. Creating Pandas DataFrames Part 1
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14. Creating Pandas DataFrames Part 2
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15. Getting Elements from DataFrames Part 1
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16. Getting Elements from DataFrames Part 2
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17. Getting Properties from DataFrames
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18. DataFrame Modification Part 1
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19. DataFrame Modification Part 2
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20. DataFrame Operations
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21. DataFrame Comparisons and Iteration
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22. Reading CSVs
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23. Summary and Outro
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Source Files
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+ 02 Perform exploratory data analysis 3 lectures
01 Generate Data With Chatgpt And Python
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02 Perform Exploratory Data Analysis
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Resources
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+ 03 Transform categorical variables 3 lectures
00 (Prerequisite) What Is Data Encoding
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01 Transform Categorical Variables
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+ 04 Scale numerical features 3 lectures
00 (Prerequisite) What Is Scaling Data
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01 Scale Numerical Features
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+ 05 Build regression models 4 lectures
01 Build Regression Models
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01 Performance Of A Machine Learning Algorithm
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02 What Is Error
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+ 06 Build a neural network 7 lectures
01 What Is Deep Learning
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02 What Is A Neural Network
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03 What Is Cross Validation
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04 What Is The Adam Optimizer
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05 Build A Neural Network
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06 Comparing Model Techniques
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Resources
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