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advanced_plotly_seaborn

airlines_geographic_basecamp_py

analyzing_bookings_houses_xgboost

Analyzing the bookings and housing industry with XGBoost Machine Learning.

avengers_py_clean

aws_sns_boto_basicfunctions

Setting up Simple Notification Services (SNS) with AWS using Boto 3.

aws_sns_boto_tornadowarning

Data product: aetting up a Tornado warning system with AWS Simple Notification Service (SNS) using Python Boto 3.

base16-ipython-notebook

Themes for your IPython Notebook

bicycle_rentals_predicticed_random_forest_regressors

boston_correlations

Exploring and visualizing correlations in the Boston housing data set.

boto3_filemanagement_on_aws

This project demonstrates file management on AWS Simple Storage Service (S3). Several basic functions like upload or download are explained. The functionality is extended with a newly created helper package by me. This is a work in progress.

clustering_nba_k_means

collegemajors_py

components_models_neural_networks

corepython_concepts

This project was started with a preparation for coding interviews in mind. It escalated further into an investigation of core Python concepts.

creating_preparing_bank_marketing_database

Creating and preparing a bank marketing database from a csv file.

credit_approval

predict credit card approval based on machine learnin algorithms

customer_segmentation_travel_tide

Customer segmentation with K-Means clustering of the online booking company TravelTide.

customeranalytics1

Customer analytics with data aggregation, Key Performance Indicators, A/B Testing.

dash-by-plotly

Interactive data analytics

dash_jupyterlab_extension

This rep checks out the JuypterLab extension for interactive Dash apps by Plotly.

dashboard_webanalytics_onheroku

data

Data and code behind the articles and graphics at FiveThirtyEight

data_analysis_pyspark_sql_apache_spark

Big Data analysis using the Pyspark and SQL API's of Apache Spark

data_analysis_sf_movie_locations

dataanalysis_predictions_teachereval

Descriptive data analysis, data visualization, and predictions on the teacher evaluation data set and Bostong housing data in R.

dataprocessing_with_sqlalchemy

The first part of this project SQLAlchemy is used to import the database data with the Sqlite adapter into Pandas dataframes. Several methods for this purpose are explored. The second part of this project is applying queries to the Northwind-data.

datasciencecoursera

The Data Scientist’s Toolbox The Data Scientist’s Toolbox byJohns Hopkins University

datasharing

The Leek group guide to data sharing

datavisualization_pyspark

Data visualization in PySpark using toPandas, Pyspark_dist_explore, HandySpark.

decision-tree-classifier-with-sklearn-on-income