Exploratory Data Analysis of the 911 calls dataset hosted on Kaggle. Demonstrates extraction of useful features from different variables.
PythonPandasSeaborn
These Recommender systems can be of different types and the most prominent ones include Content-based filtering and Collaborative filtering
PythonNumpyPandasFoliumGeoPandasSeabornPlotlyK-Means
Analysis of technology stocks, including change in price over time, daily returns, and stock behaviour prediction.
PythonPandasSeabornFinancial Analysis
A model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.
PythonScikit-learnDecision Tree RegressionModel Complexity Analysis
Cross language information retrieval system (CLIR) which, given a query in German, searches text documents written in English using Natural Language Processing.
PythonNLPIRMachine TranslationLanguage Models
Analyzing customer spending data using Unsupervised Learning techniques for discovering internal structure, patterns and knowledge.
PythonScikit-learnPCAClustering
Designing and implementing a Convolutional Neural Network that learns to recognize sequences of digits using synthetic data generated by concatenating images from MNIST.
PythonKerasDeep LearningCNNComputer Vision
An Adaboost classifier to accurately predict whether an individual makes more than $50,000, and identify likely donors for a non-profit organisation.
PythonScikit-learnDecision TreesSVMAdaboost
3-way polarity (positive, negative, neutral) classification system for tweets, without using NLTK's sentiment analysis engine.
PythonScikit-learnNLP