| Capstone Project Two: Predicting House Prices CA Bay Area (Ongoing) |
Predicting House Prices in California - Bay Area. |
| Building Movie Recommender Engine collaborative filtering using SVD |
Recommender Engine Using Python |
| Capstone Project one: Big Mountain Resort Tickets Model |
To come up with a pricing model for ski resort tickets. |
| Reducing Traffic Mortality in the US using K-Means Clustering Powered by Tableau |
To reduce Traffic Mortality in the US using K-Means Clustering Powered by Tableau |
| Advanced Time Series Sales Forecasting Using ARIMA & SARIMA Models |
To use the latest machine learning modelling techniques more specifically ARIMA and SARIMA models to make a probable reconstruction of the sales record of the manufacturer - predicting the future, from the perspective of the past - to contribute to a full report on US public health in relation to major cigarette companies. |
| Customer Segmentation Using Machine Learning K-Means Clustering Powered by Tableau |
To optimize wholesale Wine business using Clustering with K-means powered by Tableau |
| Classify Song Genres from Audio Data Using Different Binary Classifiers |
To classify songs as being either 'Hip-Hop' or 'Rock' - all without listening to a single one ourselves using multiple binary Classifiers. |
| Predicting Credit Card Approval Using Binary Classifiers |
To build multiple binary classifiers that can predict if an individual's application for a credit card will be accepted. |
| Predicting COVID-19 Patients Status Using Random Forests Multi-Class Classifier |
Predicting the status of "COVID-19" patients using Random Forests |
| Tree-Based Binary Classifier - Specialty Coffee |
To help RR Diner Coffee using data science and machine learning to systematically make decisions about which coffee farmers they should strike deals with. |
| Google vs Apple Store (Hypothesis_Testing) |
To find out whether Google Play apps have higher reviews on average than Apple Store apps (or vice versa)? |
| SQL Data Science Projects |
Many projects applying Data Science using SQL. |
| A/B Testing cookie CATS Game |
To analyze an AB-test where we moved the first gate in Cookie Cats from level 30 to level 40. In particular, we will look at the impact on player retention. |
| Analyzing TV Super Bowl Data |
To Analyze Super Bowl Half Time Show (e.g., find out how some of the elements of this show interact with each other). |
| Frequentist Inference (HypothesisTesting) |
Hypothesis testing: forming a hypothesis and framing the null and alternative hypotheses. |
| Regression Analysis Red Wine Quality |
To use exploratory data analysis (EDA) and regression to predict alcohol levels in wine with a model that's as accurate as possible. |
| Regression Disney Movies and Box Office Success |
To perform hypothesis testing to see what aspects of a movie contribute to its success. |
| Gender Classification Using Logistic Regression |
Predict the person gender based on their weight and height using Logistic regression model. |
| API: XML & JSON to Pandas |
Using Python requests package to send HTTP requests to GreatSchools API (XML to Pandas) and Quandl API (JSON to Pandas). |
| London boroughs Housing Prices |
Which boroughs of London have seen the greatest increase in housing prices, on average, over the last two decades? |
| Python Data Science Projects |
Many projects applying Data Science using Python. |