Data Science in Python from Scratch

Style of notebooks

I write the notebooks to contain:

If you spot any mistakes in the code or the theory, feel free to raise an issue.

If you would like to directly contact me with queries related to this repository:

Name		Name	Last commit message	Last commit date
Latest commit History 183 Commits
Bayesian Linear Regression		Bayesian Linear Regression
Binary Logistic Regression		Binary Logistic Regression
Feedforward neural network		Feedforward neural network
Gradient Descent for Optimization		Gradient Descent for Optimization
Investigating Experimental Data Using Linear Regression		Investigating Experimental Data Using Linear Regression
Latent Dirichlet Allocation		Latent Dirichlet Allocation
Linear Contextual Bandits		Linear Contextual Bandits
Linear Model Selection		Linear Model Selection
Linear Regression		Linear Regression
Naive Bayes Classifier		Naive Bayes Classifier
Newtons Method for Optimization		Newtons Method for Optimization
Nonparametric Regression		Nonparametric Regression
Principal Component Analysis		Principal Component Analysis
Regularization in Linear Regression		Regularization in Linear Regression
Self Organizing Maps for Data Visualization		Self Organizing Maps for Data Visualization
README.md		README.md