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Mammoth Club All levels 23 sections 104 lectures

Machine Learning Coding Interview Questions

01
Skill level
All levels
02
Sections
23
03
Lectures
104
04
Instructor
Team Mammoth
What's inside

This course includes.

23
Sections
104
Lectures
123
Resources
Certificate of completion
Included
Mobile and desktop access
Included
AI learning assistance
Included
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Course content

Curriculum & lectures.

20 sections · 80 lectures
+ Welcome! 1 lecture
Prerequisites Locked
+ 01 (Prerequisite) Introduction to Machine Learning 9 lectures
00A What Is Machine Learning Locked
00B Types Of Machine Learning Models Locked
00C What Is Supervised Learning Locked
00D What Is Unsupervised Learning Locked
01 How Does A Machine Learning Agent Learn Locked
02 What Is Inductive Learning Locked
03 Performance Of A Machine Learning Algorithm Locked
04 Handle Noise In Data Locked
05 Powerful Tools With Machine Learning Libraries Locked
+ 02 (Prerequisite) Introduction to Python 1 lecture
Prerequisite Locked
+ Regression Prerequisites 4 lectures
00 Regression Introduction Locked
01 What Is Regression Locked
02 What Is The Random Forest Classifier Model Locked
03 What Is Gradient Boosting Locked
+ Evaluation Prerequisites 2 lectures
01 Performance Of A Machine Learning Algorithm Locked
02 What Is Error Locked
+ Neural network pre-requisites 4 lectures
01 What Is Deep Learning Locked
02 What Is A Neural Network Locked
03 What Is Cross Validation Locked
04 What Is The Adam Optimizer Locked
+ 07 Calculate Moving Average on Stock Price 4 lectures
00 Advanced Stock Prediction Data Science Question Overview Locked
01 Load And Visualize Stock Data Locked
02 Calculate Moving Average On Stock Price Locked
Resources Locked
+ 08 Evaluate Moving Average Trading Strategy Results 5 lectures
01 Visualize Moving Average Results Locked
02 What are crossovers in stock analysis Locked
03 Calculate stock trends with crossovers Locked
04 Compare smoothed data and original Locked
Source Files Locked
+ 09 Analyze stock data with Relative Strength Index 3 lectures
00 What is Relative Strength Index Technical Indicator Locked
01 Analyze stock data with Relative Strength Index Locked
03 Source Files Locked
+ 10 Analyze data with Moving Average Convergence Divergence 4 lectures
01 What is Moving Average Convergence Divergence Locked
02 Analyze data with Moving Average Convergence Divergence Locked
03 Visualize MACD results with Pyplot Locked
Source Files Locked
+ 11 Time Series Data - 01 Build Binary Time Series on Stock Data 3 lectures
00 Time Series Data Science Interview Question Overview Locked
01 What are Binary Time Series Locked
source files Locked
+ 11 - 02 Calculate Volume Shocks with Pandas 5 lectures
01 What Are Volume Shocks Locked
02 Calculate Volume Shocks With Pandas Locked
03 Calculate Volume Shock Direction With Python Locked
04 Visualize Volume Shocks With Pyplot Locked
source files Locked
+ 11 - 03 Calculate Stock Price Shocks 4 lectures
01 What are Price Shocks Locked
02 Calculate Price Shocks with Python Locked
03 Visualize Price Shocks with Pyplot Locked
source files Locked
+ 11 - 04 Calculate Pricing Black Swan Shocks 4 lectures
01 What are Pricing Black Swan Shocks Locked
02 Calculate Pricing Black Swan Shocks Locked
03 Visualize Pricing Black Swan Shocks Locked
source files Locked
+ 11 - 05 Calculate Pricing Shock Without Volume Shock 4 lectures
01 What are Pricing Shocks Without Volume Shock Locked
02 Calculate Pricing Shock Without Volume Shock Locked
03 Visualize Pricing Shock Without Volume Shock Locked
source files Locked
+ 12 Backtesting Data 4 lectures
00 Backtesting Data Science Interview Question Overview Locked
01 Simulate Moving Average Trading Strategy with Python Backtesting Locked
02 Perform Quantitative Analysis Locked
Source Files Locked
+ 13 Data Generation and Manipulation - 01 Generate property data with Pandas 6 lectures
00 Data Generation and Manipulation Question Overview Locked
01 Generate property data with Pandas Locked
02 Generate data within range Locked
03 Generate property type with probabilities Locked
04 Generate number of rooms based on property type Locked
Source Games Locked
+ 13 - 02 Generate and clean missing data 5 lectures
01 Simulate missing data with Python Locked
02 Clean dataset with Python Locked
03 Find incorrect data type values Locked
04 Change data type of column Locked
Source Files Locked
+ 13 - 03 Manipulate data with Pandas 4 lectures
01 Optimize column names in Pandas Locked
02 Convert int column to bool Locked
03 Perform one hot encoding Locked
Source files Locked
+ 14 - Fix Corrupted Image Dataset Interview Question 4 lectures
00 Fix Corrupted Image Dataset Interview Question Overview Locked
01 Fix corrupted dataset Locked
02 Count number of values in array column Locked
source files Locked

Bundled items.

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