Applied Data Science with python Specialization

My Work/projects in the specialization:

• Course 1 has the codes for Data manipulation using Pandas library in python.

  • Cleaning, Exploring, and Answering questions regarding:
  • All Time Olympic Games Medals dataset from wikipedia.
  • Census dataset from United States Census Bureau.
  • Merging multible datasets and manipulating them to answer questions:
  • Energy Indicators dataset for the energy supply and renewable electricity production by the United Nations.
  • GDP dataset from 1960 to 2015 from World Bank.
  • Sciamgo Journal and Country Rank data for Energy Engineering and Power Technology Dataset which ranks countries based on their journal contributions in the aforementioned area.
  • Hypothesis testing using:
  • Zillow research data site.
  • university towns in the United States.
  • GDP over time.

• Course 2 has the codes for Plotting and Visualizing various types of data using matplotlib and seaborn.

  • Cleaning and visualizing the dataset from The National Centers for Environmental Information (NCEI) Daily Global Historical Climatology Network (GHCN-Daily).
  • Creating interactive visualizations
  • Finding the correlation between the population and the currency value and visualizing it as a final project with dataset from wikipedia.

• Course 3 has the codes for Machine Learning Applications and Applyed machine learning techniques on several big datasets provided by Michigan University.

  • Breast canser classification.
  • Fraud detection.
  • UCI Mushroom Dataset classification and using models tuning to get the best results.
  • Understanding and Predicting Property Maintenance Fines.
  • Using unsupervised learning on classification datasets like canser and fruits datasets.

• Course 4 has the codes for Text Mining and how to deal with text forms of data and basic NLP tasks

  • Sentiment analysis.
  • parsing data from text.
  • Spam or Ham classification.
  • Explore the Herman Melville novel Moby Dick.
  • Create a spelling recommender function.