A collection of my Data Science projects in Jupyter notebooks.

Author: Matthew Wilfred Ho

Email: [email protected] | LinkedIn: https://www.linkedin.com/in/matthewwilfred

• Parts of Speech Tagging: Natural Language Processing with NLTK, spaCy, and Deep Learning with Bidirectional LSTM using Keras, Tensorflow, Google Colab
• Top Charts: Exploratory Data Analysis, Visualisation and Problem Formulation, using Python, Pandas and Tableau
• Saddle Up! Machine Learning for Fun and Profit is my Capstone Project showcasing the entire Data Science project workflow. The problem statement of the project: Can you win against the bookies in horse race betting?
• NumPy Neural Network: Deep Learning, Exploratory Data Analysis, Time Series, using Python, Numpy, Pandas
• Bayes and Polls: Bayesian statistics, SciPy, and politics
• Hierarchical Clustering: Principal Components Analysis, Hierarchical Clustering
• Beer, Wine and Data Science: Regressions, Business Objectives, using Python, matplotlib and Seaborn
• KMeans: Showcasing KMeans on the Wisconsin breast cancer dataset
• Clustering Postcodes: Clustering algorithms, KMeans, Hierarchical, DBSCAN