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100 Top Data Science Interview Questions
Win The Job By Acing Your Data Science Interviews
EASY
MEDIUM
HARD
Data Structures/Algorithms
Stacks
Queues
Recursive Fibonacci
Insertion Sort
Merge Sort
Time Complexity
Sorting Algorithms
Search Algorithms
Hashing
Binary Search
Statistics/Probability
Counting Principle
Hypothesis Testing
Bernoulli RV
Binomial Distribution
Poisson Distribution
Normal Distribution
Uniform Distribution
Permutations
Combinations
Bayes Theorem 1
Bayes Theorem 2
Deep Learning
Penalty Parameter
Classification Cost
Sentiment Analysis
Computer Vision
Keras Word Vectors
Features
Network Parameters
Backprop
Hidden Layers
Word Embeddings
Machine Learning
Regularization
Regularization 2
Regularization 3
Imbalanced Data
Imbalanced Data 2
Imbalanced Data 3
F1-Score
R-Squared Statistic
Multicollinearity
Bias/Variance
Overfitting Models
Under/Overfitting 1
Under/Overfitting 2
Cross-validation
Supervised Algorithms
K-Nearest Neighbors
KNN 2
KNN 3
Gradient Boosting 1
Gradient Boosting 2
SVM Kernel
Support Vectors
SVM Parameters
Linear Regression 1
Linear Regression 2
DT Advantages
Decision Tree Splits
Decision Tree Theory
DT Partition 1
DT Partition 2
Random Forest
Unsupervised Algorithms
Heirarchical Clustering
K-Means Seeds
K-Means Theory
K-Means Clusters
K-Means Validation
PCA
PCA Disadvantages
Algorithms
Data Preprocessing
Pandas Imputation
Dataframe Duplicates
Standardization 1
Standardization 2
Missing Values
Imputation Methods
Preprocessing 1
Preprocessing 2
Visualization
Pandas Merging
Pandas Groupby
Pandas Apply Lambda
SQL Commands
Select
Distinct
Dates
Like
Join 1
Join 2
Sort
Multiple
Discount
Natural Language Processing
List Comprehension 1
List Comprehension 2
NLP Stop Words
NLP NGrams
Text Processing
Topic Models
Naive Bayes
BOW Model
TF-IDF
Deep Learning