Yifeng-He/Human-Activity-Recognition-from-Accelerometer-Data-using-Ensemble-Learning

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Language
Python
Created about 8 years ago
Updated about 8 years ago

Yifeng-He/Human-Activity-Recognition-from-Accelerometer-Data-using-Ensemble-Learning

Yifeng-He

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This project aims to classify the human activities using ensemble learning method. In this project, we compared the recognition accuracy among different classifiers, visualized the data using seaborn library and t-SNE, and tuned the hyperparameters using grid search and k-fold cross-validation.

Deep-Learning-Time-Series-Prediction-using-LSTM-Recurrent-Neural-Networks

This project aims to predict VOLATILITY S&P 500 (^VIX) time series using LSTM.

Electric-Power-Hourly-Load-Forecasting-using-Recurrent-Neural-Networks

This project aims to predict the hourly electricity load in Toronto based on the loads of previous 23 hours using LSTM recurrent neural network.

Optimal-Scheduling-for-Charging-and-Discharging-of-Electric-Vehicles

This project develops an optimal scheduling algorithm to minimize the total cost for charging and discharging of electric vehicles.

Distracted-Driver-Detection-with-Deep-Learning

This project aims to detect the dangerous status of driving based on the images captured by the dashboard camera using deep learning.

Twitter-Stream-Mining-using-Python-NLTK-and-MongoDB

This project aims to receive the data from Twitter stream, store the data into MongoDB database, and then mine the word frequency and tweet frequency.

Stock-Market-Prediction-using-ELMo-Sentiment-Classification-or-RNNs

This project aims to predict the stock market trend for the next day based on the sentiment classification on the daily news or the analysis on the historical time series data.

Face-Recognition-using-Convolutional-Neural-Network

This project aims to recognize human faces using Convolutional Neural Network (CNN) and Open Source Computer Vision (OpneCV) library.

AI-Day-Trade-using-Reinforcement-Learning

This project aims to explore the possibility of using A3C reinforcement learning algorithm to implement an AI day trade agent.

Exploratory-Data-Analysis-and-Prediction-on-Diabetes-Dataset-using-R

This project first conducts Exploratory Data Analysis (EDA) and data visualization on the diabetes dataset and then predict the disbetes using machine learning.

Text-Classification-with-Spark-on-Amazon-EMR-Hadoop-Cluster

This project aims to classify the customer reviews on automobiles into five classes using Spark MLLib on an Amazon EMR Hadoop cluster.

Large-Scale-Machine-Learning-with-Spark-for-Marketing

This project aims to address prediction problems for marketing, including customer churn prediction, using Spark and Scala.

Interactive-Data-Visualization-of-US-Traffic-Accidents-using-Pandas-and-Plotly

This project aims to develop interactive visualization graphs for US traffic accidents 2015 using Pandas and Plotly.

Jupyter Notebook

Real-Time-Data-Processing-using-Kafka-and-Spark-Streaming-and-Cassandra

This project aims to mine the logs with error status codes from Kafka real-time streaming data and save them into Cassandra database.

Loan-Fraud-Detection-with-Spark

This project aims to determine the result (approved or declined) for a loan application based on the information of the applicant.

Movie-Recommendation-with-Spark-and-Python

This project aims to recommend movies to a user based on the movies that have been watched.

Sentiment-Analysis-using-Convolutional-Neural-Network

This program aims to classify the sentiment for the movie reviews from IMDB dataset.

MapReduce-Data-Mining-on-a-Hadoop-Cluster

This project aims to find the most delayed flights, airports, or carriers in US by using MapReduce on a Hadoop cluster.