Categories

Regression

• Adaptive Boosting Regression
• Lasso Regression
• Make_Regression for Simple Linear Regression
• Elastic Net Regression
• Decision Tree Regression
• Support Vector Regression
• Ridge Regression
• Polynomial Regression
• Random Forest Regression
• Simple Linear Regression
• Multiple Linear Regression

Classification

• AdaBoost Classifier
• Make_Classification for Logistic Regression
• Random Forest Classification
• Kernel SVM
• Naive Bayes
• Support Vector Machines
• Logistic Regression
• Decision Tree Classification
• K-Nearest Neighbor

Clustering

• Mean Shift Clustering
• K-Means Clustering
• GMM Using EM Algorithm
• Agglomerative Hierarchical Clustering
• DBSCAN

Deep Learning

• Seq2Seq
• RNN NLP
• Convolutional Neural Networks
• Recurrent Neural Networks
• Artificial Neural Networks
• A Neural Network Playground

Natural Language Processing

• spaCy Matcher
• Truncated SVD (Latent Semantic Analysis)
• NGrams
• TFIDF
• Tokenizer
• Bag of Words
• NLTK Stemming and Lemmatization
• Contractions Dictionary

Statistics

• Features corrwith Target
• Permutations and Combinations
• F-Distribution
• Distributions
• Covariance
• Correlation Coefficient
• Assumptions
• Chi Square
• Variance
• Student T-Test
• Standard Deviation
• Linear Regression

Python

• FibLand
• Trees
• Fib Class
• Factory Method
• Proxy Pattern
• Closures
• Single Dispatch
• Decorators
• Timeit
• Bitwise Operations
• Transposition Map
• Sets
• For Loop Enumerate
• Dictionary Comprehension
• List Comprehension
• Regular Expressions
• f-Strings

Pandas

• Pandas Melt
• Dataframe from Dataframe
• Pandas.DataFrame.isin
• Pandas
• Pandas Datareader
• Pandas Dataframe

Miscellaneous

• OneHotEncoder
• Train Test Split
• Correlation Heatmap with Mask
• Sampling
• Confusion Matrix
• Suptitle and Tight_Layout
• Gradient Descent
• Feature Selection
• Feature Engineering
• Dates
• Cross Validation
• Cost Function
• Dimensionality Reduction
• Boston Housing Dataset
• Checklist
• Pickle
• Model Selection
• MatPlotLib
• Preprocessing
• Metrics
• Imputing Missing Values
• Grid Search