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