kirosg / community_projects

Ames Housing price Prediction, SAT_ACT statistical analysis,Reddit engagement using natural Language processing TF-IDF, Titanic survival predictions

GA -Projects

This repo contains different projects i have accomplished while taking the Data science immersive program.

The projects include

1. Statistical Analysis of SAT and ACT examinations : This repo contains different visualizations using seaborn, matplotlib as well as plotly for interactive visualizations.
2. Predicting Titanic survival rate using machine learing. Overview the data has been split into two groups: training set (train.csv), test set (test.csv). The training set will be used to build the supervised machine learning models. For the training set, we provide the outcome (also known as the “ground truth”) for each passenger. The model will be based on “features” like passengers’ gender and class. You can also use feature engineering to create new features.The test set should be used to see how well your model performs on unseen data. For the test set, we do not provide the ground truth for each passenger. It is your job to predict these outcomes. For each passenger in the test set, use the model you trained to predict whether or not they survived the sinking of the Titanic.
3. Reddit-NLP: The application of web scrabing and natural language processing
4. Ames, IA, Housing price prediction using machine learning algorithms