dorianlacaisse / dsi-projects

In this folder you will find several projects , some performed while attending General Assembly (GA), Data Science immersive Course and other more personals

As per limitation of times, the projects made at GA only focused at some aspects and might not be complete. I invite anyone who would like to carry on and go deeper to use my starter code on my github account

Projects:

1. Project 7 (January 2017) - Capstone - personal project - Building a tool to assess the likelihood of success for opening a restaurant
   This longer project involve several techniques. The README file inside the folder explains the entire approach. The folder is constantly updated as the project is still ongoing.

2. Project 6 (December 2016) - Airport flights delays
   key words:
   PostgreSQL | Principal Component Analysis | Supervised Machine Learning | Clustering methods | K-means | Hierarchical Clustering | Density-Based Spatial Clustering

3. Project 5 (December 2016) - Movies' rating prediction
   key words:
   Web Scraping | Get data from API | Data Mining | Feature extractions | Ensemble Boosting Methods | Random Forest | Bagging | Adaboost | Extra Trees | Model Selection

4. Project 4 (November 2016) - How lucky were you to survive the Titanic tragedy?
   key words:
   PostgreSQL | Pipeline | Feature selections | Supervised Machine Learning - Classification model| Logistic Regression | KNeighbours | Model Selection

5. Project 3 (November 2016) - Predicting Data Scientist's Salaries in the US
   key words:
   Web Scraping | Data Cleaning | Supervised Machine Learning - Classification model| Logistic Regression | Hyperparameter optimization

6. Project 2 (October 2016) - Insight on Liquor beverage consumption in IOWA State
   key words:
   Supervised Machine Learning - Linear model| Linear Regression | Ridge and Lasso Regression

7. Project 1 (October 2016) - Back in the 00's - Do you remember the singles chart?
   key words:
   Exploratory Data Analysis | Data Visualization