emykes

Emine Kesici's repositories

ds-classification_workflow_demo-pdu32

Language:Jupyter NotebookGPL-3.0100

dsc-phase-3-choosing-a-dataset

NOASSERTION100

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Language:Jupyter NotebookApache-2.0100

data

Data and code behind the articles and graphics at FiveThirtyEight

Language:Jupyter NotebookCC-BY-4.0000

ds-classification_metrics-pdu32

GPL-3.0000

ds-classification_metrics_2-pdu32

Language:Jupyter NotebookGPL-3.0000

ds-data_leakage-pdu32

GPL-3.0000

ds-decision_trees-pdu32

GPL-3.0000

ds-gradient_descent-pdu32

GPL-3.0000

ds-k-nearest_neighbors-pdu32

GPL-3.0000

ds-linear_algebra-pdu32

Language:Jupyter NotebookGPL-3.0000

ds-logistic_regression-pdu32

Language:Jupyter NotebookGPL-3.0000

ds-logistic_regression_2-pdu32

GPL-3.0000

ds-model_tuning-pdu32

Language:Jupyter NotebookGPL-3.0000

ds-naive_bayes-pdu32

GPL-3.0000

ds-object_oriented_programming-pdu32

GPL-3.0000

ds-object_oriented_programming_scikit_learn-pdu32

Language:Jupyter NotebookGPL-3.0000

ds-regularization-pdu32

Language:Jupyter NotebookGPL-3.0000

dsc-big-data-introduction

Language:Jupyter NotebookNOASSERTION000

dsc-collaborative-filtering-singular-value-decomposition

Language:Jupyter NotebookNOASSERTION000

dsc-curse-of-dimensionality

NOASSERTION000

dsc-distance-metrics

Language:Jupyter NotebookNOASSERTION000

dsc-parallel-and-distributed-computing-with-mapreduce

Language:Jupyter NotebookNOASSERTION000

dsc-recommendation-system-introduction

Language:Jupyter NotebookNOASSERTION000

dsc-running-jupyter-locally-lab

NOASSERTION000

DSLE-083021-DSMathPractice

Language:Python000

DSLE-083021-OOP-Practice

000

DSLE-083021-Phase3CodeChallengeReview

000

Housing_Analysis

000

PCA_Tutorial

Language:Jupyter Notebook010