ali-unlu Goto Github PK

activity-monitoring-with-mobile-device

This exercise makes use of data from a personal activity monitoring device. This device collects data at 5-minute intervals throughout the day.

amazon-kindle-recommendation-model

Create a sentiment model to identify the product features and recommendation trends

amazon-product-review

Amazon Kindle reviews in Amazon Store

awesome-community-detection

A curated list of community detection research papers with implementations.

awesome-computational-social-science

A list of awesome resources for Computational Social Science

bank-customer-churn-analysis

The aim of this post is to predict the churn of bank customers.

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

cannabis_topic_modeling

classification-of-consumer-complaint-emails

T​he goal of this project is to predict the consumer complaint category.

comparative-principal-component-analysis

In this analysis, I will demonstrate how PCA works in different tasks and how much time and resources we save in our daily analysis.

comparison-of-finnish-sentiment-dictionaries

Sentiment analysis for the Finnish Language

course-computational-literary-analysis

Course materials for Introduction to Computational Literary Analysis, taught at UC Berkeley in Summer 2018.

data-science

Collection of useful data science topics along with code and articles

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

eda-car-dataset

In this analysis, I will demonstrate how to explore the cars dataset using Python. I will first load the dataset and then process the data. I will also visualize the dataset and then finally apply ttest to explore the relationship between variables.

extracting-and-visualizing-stock-data

fes

Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson

group-projects

Learning materials

ibm-data-science-capstone

k-means-cluster-analysis

In this analysis, I will demonstrate how PCA and K-Means clustering can be applied to credit risk data. In this data set, we do not have a target variable, which leads us to build an unsupervised machine learning model.

learning-social-media-analytics-with-r

Learning Social Media Analytics with R, published by Packt

machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn

medical-cannabis-use

netflix-contents

The content analysis of the Netflix platform.

network-analysis

Course web page

network-analysis-made-simple

An introduction to network analysis and applied graph theory using Python and NetworkX

predicting-drug-use

Machine learning for social science

predicting-game-sales-with-pyhton

The aim of this demonstration is to illustrate how regression models could be used to predict global game sales. I will use three regression models, including Lasso, Ridge and ElasticNet with cross validation tecnique.

predicting-global-game-sales

Predicting global game sales with R

predicting-human-activities-with-accelerometers

Predicting human behavior with accelerometer data on the belt, forearm, arm and dumbell