data_science_algorithms

A codebase to implement basic ML algorthims from scratch. Feel free to add your suggestions to the TODO lists.

TODO lists

Data processing

• MinMax Scaler
• Standard Scaler
• PCA
• Kernel PCA

ALgorithms

• Linear regression
• Logistic regression
• Classification
• Clustering
• Feature Engineering
• Random Forests
• Decision Tree
• Naive Bayes
• Support Vector Machine
• K-Nearest Neighbors
• Gradient Boosting Machine​
• Gaussian Process

Statistical techniques

• Hypothesis testing
• Confidence Interval
• Regression Analysis
• Dimensionality Reduction
• ANOVA
• f-test
• chi-squre test
• t-test

Data analysis libraries

• pandas
• numpy
• scipy
• scikit-learn
• xgboost

Deep learning

• Neural Networks
• CNN
• Tensorflow
• Keras

Kaggle challenges