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Mammoth Club All levels 45 sections 226 lectures

Crack the Machine Learning Interview with 6-Figure Salary Questions

Get fully prepared for real-world data science and coding interviews with this all-in-one bundle. Covering Python fundamentals, machine learning workflows, deep learning techniques, stock market analysis, NLP, and algorithmic problem-solving—this course is packed with guided challenges, hidden interview-style questions, and expert-level walkthroughs.

01
Skill level
All levels
02
Sections
45
03
Lectures
226
04
Instructor
Team Mammoth
What's inside

This course includes.

45
Sections
11
Quizzes
Certificate of completion
Included
Mobile and desktop access
Included
AI learning assistance
Included
Unlock all courses with our Subscription Bundle! Get unlimited access to entire course library, books and assets. Learn more and subscribe today!
Course content

Curriculum & lectures.

45 sections · 226 lectures
+ Welcome! 1 lecture Preview
Submit a Question/Feedback Locked
+ 00 Question Overview 2 lectures
01 Question Overview - Beginner Price Prediction Locked
Resource Locked
+ 01 Perform exploratory data analysis 3 lectures
01 Generate Data With ChatGPT And Python Locked
02 Perform Exploratory Data Analysis Locked
Resources Locked
+ 02 Transform categorical variables 3 lectures
01 (Prerequisite) What Is Data Encoding Locked
02 Transform Categorical Variables Locked
Resources Locked
+ 03 Scale numerical features 3 lectures
01 (Prerequisite) What Is Scaling Data Locked
02 Scale Numerical Features Locked
Source Files Locked
+ 04 Build regression models 4 lectures
01 Performance Of A Machine Learning Algorithm Locked
02 What Is Error Locked
03 Build Regression Models Locked
Source Files Locked
+ 05 Build a neural network 7 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
05 Build A Neural Network Locked
06 Comparing Model Techniques Locked
Resources Locked
+ 06 Calculate Moving Average on Stock Price 4 lectures
01 Advanced Stock Prediction Data Science Question Overview Locked
02 Load And Visualize Stock Data Locked
03 Calculate Moving Average On Stock Price Locked
Resources Locked
+ 07 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
+ 08 Analyze stock data with Relative Strength Index 3 lectures
01 What Is Relative Strength Index Technical Indicator Locked
02 Analyze Stock Data With Relative Strength Index Locked
Source Files Locked
+ 09 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
+ 10 Build Binary Time Series on Stock Data 3 lectures
01 Time Series Data Science Interview Question Overview Locked
02 What Are Binary Time Series Locked
source files Locked
+ 11 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
+ 12 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
+ 13 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
+ 14 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
+ 15 Backtesting Data 4 lectures
01 Backtesting Data Science Interview Question Overview Locked
02 Simulate Moving Average Trading Strategy With Python Backtesting Locked
03 Perform Quantitative Analysis Locked
Resources Locked
+ 16 Generate property data with Pandas 6 lectures
01 Data Generation And Manipulation Question Overview Locked
02 Generate Property Data With Pandas Locked
03 Generate Data Within Range Locked
04 Generate Property Type With Probabilities Locked
05 Generate Number Of Rooms Based On Property Type Locked
Resources Locked
+ 17 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
+ 18 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
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+ 19 Fix Corrupted Image Dataset Interview Question 3 lectures
01 Fix Corrupted Dataset Locked
02 Count Number Of Values In Array Column Locked
source files Locked
+ 20 Image Generation Machine Learning Interview Questions 3 lectures
01 What Is Discriminative Modeling Locked
02 What Is Generative Modeling Locked
Interview Source Files Locked
+ 21 Diffusion Deep Learning Interview Questions 4 lectures
01 What Are Diffusion Models Locked
02 How Diffusion Works In Deep Learning Locked
03 Forward And Backward Diffusion In Ml Locked
04 What Is A U-Net Ml Model Locked
+ 22 Stable Diffusion Interview Questions 3 lectures
01 Steps Of Latent Reverse Diffusion In Stable Diffusion Locked
02 What Is Latent Space Locked
03 What Is The Manifold Hypothesis In Ml Locked
+ 23 Dimensionality Reduction Data Science Interview Questions 2 lectures
01 What Is Dimensionality Reduction Locked
02 What Is Principal Component Analysis Locked
+ 24 Autoencoder Machine Learning Interview Questions 5 lectures
01 What Are Autoencoders Locked
02 What Are Encoders And Decoders In Ml Locked
03 How Do Autoencoders Work Locked
04 What Are Variational Autoencoders Locked
05 What Is A Vector Quantized Variational Autoencoder Locked
+ 25 GAN Neural Network Interview Questions 3 lectures
01 What Is The Structure Of A Generative Adversarial Network Locked
02 What Are Discriminators And Generators Locked
03 What Is Zero-Shot Learning Locked
+ 26 Scoring Interview Questions 4 lectures
01 What Is Inception Score Locked
02 What Is Frechet Inception Distance Locked
03 How Fid Works In Ml Locked
04 What Is Kernel Inception Distance Locked
+ 27 Signal Processing Interview Questions 4 lectures
01 What Is Time-Series Data Locked
02 What Is Signal Data Locked
03 Continuous Signals Vs Discrete Signals Locked
04 What Is Nyquist Rate Locked
+ 28 Fourier Analysis Interview Questions 2 lectures
01 What Are Periodic Signals Locked
02 What Is Fourier Transform Locked
+ 29 Tokenization NLP Interview Questions 4 lectures
01 What Is Tokenization Locked
02 What Text Can Cause Tokenization Problems Locked
03 What Is Sentence Segmentation Locked
Complete Section Source Files Locked
+ 30 Stem and lemma NLP Interview Questions 3 lectures
01 What Is Stemming In NLP Locked
02 What Are Issues With Stemming In NLP Locked
03 What Is Lemmatization In NLP Locked
+ 31 Natural Language Processing Interview Questions 4 lectures
01 What Is Text Normalization In NLP Locked
02 What Is Named Entity Recognition In NLP Locked
03 What Is Relation Recognition In NLP Locked
04 What Is A Parser In NLP Locked
+ 32 TF-IDF NLP Interview Questions 3 lectures
01 What Is Term Frequency-Inverse Document Frequency In NLP Locked
02 What Is TF-IDF Vectorization In NLP Locked
03 What Are Issues With TF-IDF In NLP Locked
+ 33 Bag of Words NLP Interview Questions 3 lectures
01 What Is A Bag Of Words In NLP Locked
02 Give An Example Of Bag Of Words In NLP Locked
03 What Are Issues With The Bag Of Words NLP Approach Locked
+ 34 Part of speech tagging Interview Questions 2 lectures
01 What Is Sequence Classification In NLP Locked
02 What Are Hidden Markov Models In NLP Locked
+ 35 Regular Expressions Coding Interview Questions 3 lectures
01 What Are Regular Expressions In Programming Locked
02 Regular Expression Operators In Code Locked
03 Common Regular Expression Symbols Overview Locked
+ Python Interview Questions - Arrays - Slider Window 8 lectures
00A Course Overview Locked
01-01A Question - Find Maximum Sum Subarray Of Size K Locked
01-01B Find Maximum Sum Subarray Of Size K Locked
01-01C Explanation - Find Maximum Sum Subarray Of Size K Locked
01-02A Question - Find Smallest Subarray With Given Sum Locked
01-02B Find Smallest Subarray With Given Sum Locked
01-02C Explanation - Find Smallest Subarray With Given Sum Locked
Array Source Files Locked
+ Python Interview Questions - Arrays - Two Pointers 12 lectures
02-01A Question - Find Pair With Target Sum Locked
02-01B Find Pair With Target Sum Locked
02-01C Explanation - Find Pair With Target Sum Locked
02-02A Question - Remove Duplicates From List Locked
02-02B Remove Duplicates From List Locked
02-02C Explanation - Remove Duplicates From List Locked
02-03A Question - Remove Targets From Array Locked
02-03B Remove Targets From Array Locked
02-03C Explanation - Remove Targets From Array Locked
02-04A Question - Square A Sorted Array Locked
02-04B Square A Sorted Array Locked
02-04C Explanation - Square A Sorted Array Locked
+ Python Interview Questions - Sorting - Cyclic Sort 23 lectures
Course Overview Locked
01A Question - Cyclic Sort Locked
01B Cyclic Sort Locked
01C Explanation - Cyclic Sort Locked
02A Question - Find Duplicate Number Locked
02B Find Duplicate Number Locked
02C Explanation - Find Duplicate Number Locked
03A Question - Find Duplicate Without Modifying Array Locked
03B Find Duplicate Without Modifying Array Locked
03C Explanation - Find Duplicate Without Modifying Array Locked
04A Question - Find All Duplicate Numbers Locked
04B Find All Duplicate Numbers Locked
04C Explanation - Find All Duplicate Numbers Locked
05A Question - Find Missing Number Locked
05B Find Missing Number Locked
05C Explanation - Find Missing Number Locked
06A Question - Find All Missing Numbers Locked
06B Find All Missing Numbers Locked
06C Explanation - Find All Missing Numbers Locked
07A Question - Find Corrupt Pair Locked
07B Find Corrupt Pair Locked
07C Explanation - Find Corrupt Pair Locked
Source Files Locked
+ Python Interview Questions - Tree - Breadth First Search 17 lectures
Course Overview Locked
01A Question - Traverse Binary Tree Level Order Locked
01B Traverse Binary Tree Level Order Locked
01C Explanation - Traverse Binary Tree Level Order Locked
02A Question - Traverse Binary Tree Reverse Level Order Locked
02B Traverse Binary Tree Reverse Level Order Locked
02C Explanation - Traverse Binary Tree Reverse Level Order Locked
03A Question - Find Level Averages In Binary Tree Locked
03B Find Level Averages In Binary Tree Locked
04A Question - Find Level Order Successor Locked
04B Find Level Order Successor Locked
05A Question - Find Minimum Depth Of Binary Tree Locked
05B Find Minimum Depth Of Binary Tree Locked
06A Question - Find Maximum Depth Of Binary Tree Traversing All Levels Locked
06B Find Maximum Depth Of Binary Tree Traversing All Levels Locked
07A Question - Find Right View Of Binary Tree Locked
07B Find Right View Of Binary Tree Locked
+ Python Interview Questions - Heap - Top K Elements 14 lectures
Course Overview Locked
01A Question - Find Top K Numbers Locked
01B Find Top K Numbers Locked
01C Explanation - Find Top K Numbers Locked
02A Question - Find Kth Smallest Number Locked
02B Find Kth Smallest Number Locked
02C Explanation - Find Kth Smallest Number Locked
03A Question - K Closest Points To Origin Locked
03B K Closest Points To Origin Locked
03C Explanation - K Closest Points To Origin Locked
04A Question - Find Minimum Cost To Connect Ropes Locked
04B Find Minimum Cost To Connect Ropes Locked
04C Explanation - Find Minimum Cost To Connect Ropes Locked
Heap Source Files Locked
+ Python Interview Questions - Heap - Modified Binary Search 4 lectures
01A Question - Find Bitonic Array Maximum Locked
01B Find Bitonic Array Maximum Locked
02A Question - Order Agnostic Binary Search Locked
02B Order Agnostic Binary Search Locked
+ Python Interview Questions - Linked List - Fast and Slow Pointers 11 lectures
Course Overview Locked
01A Question - Is Linked List Cycle Locked
01B Is Linked List Cycle Locked
01C Explanation - Is Linked List Cycle Locked
02A Question - Find Length Of Linked List Cycle Locked
02B Find Length Of Linked List Cycle Locked
02C Explanation - Find Length Of Linked List Cycle Locked
03A Question - Find Middle Node Of Linked List Locked
03B Find Middle Node Of Linked List Locked
03C Explanation - Find Middle Node Of Linked List Locked
Linked List Source Files Locked
+ Python Interview Questions - Linked List - Subsets 4 lectures
01A Question - Find Distinct Subsets Locked
01B Find Distinct Subsets Locked
02A Question - Find Subsets With Duplicates Locked
02B Find Subsets With Duplicates Locked
Description

About this course.

✅ Learn the core principles of machine learning, deep learning, neural networks, and how models learn from data

✅ Clean and encode real-world datasets using Python and Pandas, including data scaling, transformation, and feature engineering

✅ Build and evaluate a variety of machine learning models using real metrics to measure performance and accuracy

✅ Analyze time-series data and financial trends with stock price indicators, technical analysis, and backtesting techniques

✅ Simulate realistic data generation scenarios, handle missing values, and clean or repair flawed datasets like a pro

✅ Explore advanced deep learning topics like generative models, diffusion processes, and evaluation metrics used in AI research

✅ Dive into key NLP techniques including tokenization, text normalization, vectorization, and linguistic structure extraction

✅ Strengthen your Python fundamentals with hidden coding interview exercises focused on arrays, trees, heaps, linked lists, and recursion

✅ Sharpen your understanding of sorting, searching, graph traversal, and optimization through structured problem-solving patterns

✅ Tackle algorithm design and system logic challenges while analyzing time and space complexity like a true technical interviewer

✅ And EVEN MORE!


🔥 Get lifetime access, downloadable source files, auto-graded coding challenges in a built-in compiler, and exciting quizzes—all in one power-packed bundle!


If you’re aiming to master data science and ace Python coding interviews—from fundamentals to advanced AI—you’ll find everything you need inside. Enroll now and gain the confidence to crush your next technical challenge.

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Ready to start building?

Get fully prepared for real-world data science and coding interviews with this all-in-one bundle. Covering Python fundamentals, machine learning workflows, deep learning techniques, stock market analysis, NLP, and algorithmic problem-solving—this course is packed with guided challenges, hidden interview-style questions, and expert-level walkthroughs.

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