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univariate-linear-regression Public
Forked from gutfeeling/univariate-linear-regressionExample data science project used in Datacamp's Unit Testing for Data Science in Python course
Jupyter Notebook UpdatedFeb 7, 2020 -
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grokking_algorithms Public
Forked from egonSchiele/grokking_algorithmsCode for the book Grokking Algorithms (https://amzn.to/29rVyHf)
JavaScript Other UpdatedApr 23, 2019 -
Agile_Data_Code_2 Public
Forked from rjurney/Agile_Data_Code_2Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition
Jupyter Notebook MIT License UpdatedApr 6, 2019 -
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers Public
Forked from CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackersaka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Jupyter Notebook MIT License UpdatedApr 4, 2019 -
This project includes all assignments completed for the DL and NNs classes offered by Andrew Ng on deeplearning.ai
UpdatedNov 8, 2017 -
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The purpose this project is to implement the Frank-Wolfe Algorithm for transportation network analysis. The next section summarizes the key steps involved in the Python coding process, followed by …
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The objective of this study is to predict the demand for uber pick-ups in the Manhattan area using time series models.
R UpdatedNov 10, 2016 -
SQL-Exercises Public
MS SQL codes, topics include select, sort, wildcard characters, string operators, calculated fields, group by clause, aggregate functions, crosstabing, conditional data manipulation, union operatio…
UpdatedNov 10, 2016 -
This project implemented the stochastic gradient descent (SGD) algorithm for logistic regression, given a training set and a testing set.
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The goal of this piece of code is to implement a simplified version of the Sequential Minimal Optimization (SMO) algorithm by John Platt to train SVMs in the dual formulation.
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The purpose of this code is to compute the empirical probability mass function (EPMF) for the random variable X that represents the angle (in degrees) between any two diagonals in high dimensions.
Python UpdatedNov 10, 2016 -
Data-Mining-Kernel-PCA Public
This piece of code is used to implement the Kernel PCA (KPCA) algorithm.
Python UpdatedNov 10, 2016 -
ProgrammingAssignment2 Public
Forked from rdpeng/ProgrammingAssignment2Repository for Programming Assignment 2 for R Programming on Coursera
R UpdatedApr 26, 2015
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