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Machine Learning Algorithms |
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Logistic Regression |
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A/B Testing? |
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Decision Tree |
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SVM — Post |
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How SVM — Video |
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Principal Component Analysis: PCA — post |
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Principal Component Analysis — Video |
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Adaboost |
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AdaBoost |
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A Gentle Introduction to the Gradient Boosting Algorithm for Machine Learning — Post |
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Gradient Boost Part 1: Regression Main Ideas — Video |
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K-Means Clustering — The Math of Intelligence |
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Bayesian Network |
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Neural Network |
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Dimensionality reduction algorithms |
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How kNN algorithm works |
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Probability And Statistics |
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A common question you might get at FAANG companies and other tech companies alike is the occasional probability or statistics question. The questions won’t necessarily require complex math. However]( if you haven’t thought about independent and dependent probabilities in while. It is good to review setting up the basic formulas. |
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Probability Videos |
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Dependent probability introduction |
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Independent & dependent probability |
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Independent Problems |
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Conditional Prob Article |
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Probability Quiz |
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Probability & Statistics — Set 6 |
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Probability & Statistics — Set 2 |
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Independent Probability |
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Dependent Probability |
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Probability Interview Questions |
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A die is rolled twice. What is the probability of showing a 3 on the first roll and an odd number on the second roll? |
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[In any 15-minute interval]( there is a 20% probability that you will see at least one shooting star. What is the probability that you see at least one shooting star in the period of an hour?) |
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Alice has 2 kids and one of them is a girl. What is the probability that the other child is also a girl? You can assume that there are an equal number of males and females in the world. |
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You’re about to get on a plane to Seattle. You want to know |
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How many ways can you split 12 people into 3 teams of 4? |
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Statistics Pre-Quizzes just make sure you can explain each of these concepts at the surface level. |
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Statistics is a broad concept so don't get too bogged down in the details of each of these videos. Instead |
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Data Science Probability Statistics 14 |
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Statistics Concepts |
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Bias Variance Trade Off |
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Confusion Matrix |
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ROC curve |
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Normal Distribution |
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The Normal Approximation to the Binomial Distribution |
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P-Value |
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Naive Bayes |
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Normal distribution problem: z-scores (from ck12.org) |
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Continuous Probability Distributions |
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Standardizing Normally Distributed Random Variables (fast version) |
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[Statistics 101: Simple Linear Regression]( The Very Basics) |
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[Statistics 101: Linear Regression]( Outliers and Influential Observations) |
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[Statistics 101: ANOVA]( A Visual Introduction) |
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[Statistics 101: Multiple Regression]( The Very Basics) |
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[Statistics: Variance of a population ]( Probability and Statistics ) |
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Expected Value: E(X) |
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[Law of large numbers ]( Probability and Statistics ) |
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[Central limit theorem ]( Inferential statistics ) |
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[Margin of error 1 ]( Inferential statistics ) |
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[Margin of error 2 ]( Inferential statistics ) |
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[Hypothesis testing and p-values ]( Inferential statistics ) |
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[One-tailed and two-tailed tests ]( Inferential statistics ) |
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[Type 1 errors ]( Inferential statistics ) |
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[Large sample proportion hypothesis testing ]( Probability and Statistics ) |
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Boosting and Bagging |
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Statistics Post-Quiz |
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Data Science Probability Statistics 17 |
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Programming |
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| x |
[Just because data science doesn't always require heavy programming]( it doesn't mean that interviewers won't ask you traverse a binary tree. So make sure you ask your interviewer what to expect. Don't be daunted by these questions. Pick a few to do just so you're not surprised in an interview.) |
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Pre-Video Questions |
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Fizz Buzz |
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Find The Kth Smallest/Largest Integer In An Array |
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Nth Fibonacci |
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Algorithms And Data Structures |
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Pre-Study Problems |
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Before going through the video content about data structures and algorithms. Consider trying out these problems below. See if you can answer them. This will help you know what to focus on. |
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985. Sum of Even Numbers After Queries |
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657. Robot Return to Origin |
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961. N-Repeated Element in Size 2N Array |
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110. Balanced Binary Tree |
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Algorithms And Data Structures Videos |
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Data Structures |
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Data Structures & Algorithms #1 — What Are Data Structures? |
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Multi-dim (video) |
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Data Structures: Linked Lists |
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Core Linked Lists Vs Arrays (video) |
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Data Structures: Trees |
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Data Structures: Heaps |
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Data Structures: Hash Tables |
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Data Structures: Stacks and Queues |
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Algorithms |
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Python Algorithms for Interviews |
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[Algorithms: Graph Search]( DFS and BFS) |
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BFS(breadth-first search) and DFS(depth-first search) (video) |
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Algorithms: Binary Search |
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Binary Search Tree Review (video) |
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Algorithms: Recursion |
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Algorithms: Bubble Sort |
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Algorithms: Merge Sort |
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Algorithms: Quicksort |
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String Manipulation |
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| x |
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Coding Interview Question and Answer: Longest Consecutive Characters |
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Sedgewick — Substring Search (videos) |
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SQL |
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| x |
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SQL — Problems |
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| x |
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262. Trips and Users |
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601. Human Traffic of Stadium |
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185. Department Top Three Salaries |
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626. Exchange Seats |
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Hackerrank The Report |
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177. Nth Highest Salary |
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Symmetric Pairs |
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Occupations |
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Placements |
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| x |
Ollivander’s Inventory |
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| x |
SQL s |
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IQ15: 6 SQL Query Interview Questions |
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Learning about ROW_NUMBER and Analytic Functions |
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Advanced Implementation Of Analytic Functions |
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Advanced Implementation Of Analytic Functions Part 2 |
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| x |
Wise Owl SQL Videos |
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| x |
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| x |
Post SQL Problems |
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| x |
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Binary Tree Nodes |
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| x |
Weather Observation Station 18 |
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Challenges |
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| x |
Print Prime Numbers |
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| x |
595. Big Countries |
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| x |
626. Exchange Seats |
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| x |
SQL Interview Questions: 3 Tech Screening Exercises (For Data Analysts) |
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| x |
Good Luck With Your Studies! |
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