DataScienceSampleWork

Collection of various data science projects for demonstrations.

Statistics

Inference

Frequentism exercises

Overview:

Done as part of my work for SpringBoard's Data Science Career Track program.

• Examination of z statistic
• Examination of t statistic
• Compare the difference of z and t statistics
• Breif look at the Central Limit Therom
• Population sample mean and standard deviation
• Computation of a confidence interval
• Confidence intervals enableing:
  • Hypothesis test
  • A/B test

Files:

• Stats/inferential_statistics_1a-Q6.25.ipynb
• Stats/inferential_statistics_1b-Q6.25.ipynb

Bootstap exercises

Overview:

Done as part of my work for SpringBoard's Data Science Career Track program.

• Use of bootstrapping to perform similar analysis as that done for the frequentism exercises

Files:

• Stats/inferential_statistics_2-Q.ipynb

Bayesian Inference exercises

Overview:

Done as part of my work for SpringBoard's Data Science Career Track program.

• Use of Bayesian inference, making use of PyMC3

Files:

• Stats/inferential_statistics_3-Q.ipynb

Data Wrangling

JSON data exercise

Overview:

Done as part of my work for SpringBoard's Data Science Career Track program.

• Import data from JSON file
• Perform some analysis on the data
• Perform some manipulation on the data

Files

• Data_Wrangle/sliderule_dsi_json_exercise.ipynb

SQL data exercise

Overview:

Done as part of my work for SpringBoard's Data Science Career Track program.

• Utilize 3 tables in SpringBoard's mySQL server
• Answer a number of questions about the data

Files

• Data_Wrangle/sql_data_wrangling_project.sql

Requests data exercise

Overview:

Done as part of my work for SpringBoard's Data Science Career Track program.

• Fetch data from quandl relating to a stock

Files

• Data_Wrangle/api_data_wrangling_mini_project.ipynb

Machine Learning

Linear Regression

Overview:

Done as part of my work for SpringBoard's Data Science Career Track program.

• Build linear regression models for the given data.
• Makes use of Scikit-Learn and StatsModels

Files

• Machine_Learning/linear_regression/Mini_Project_Linear_Regression.ipynb
• Machine_Learning/logistic_regression/Mini_Project_Logistic_Regression.ipynb

Naive Bayes

Overview:

Done as part of my work for SpringBoard's Data Science Career Track program.

Files

• Machine_Learning/naive_bayes/Mini_Project_Naive_Bayes.ipynb