Sentiment Analyst using Supervised Learning using Women's E-Commerce Clothing Reviews Dataset
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Updated
Jan 5, 2021 - Jupyter Notebook
Sentiment Analyst using Supervised Learning using Women's E-Commerce Clothing Reviews Dataset
Classifying in R Identifying Categories for Customer Complaint’s Mediation Automation
C++ language program that searches for a car license plate on a photo and then recognises its registration number. [ENG]
Hyperparameter tuning using a robust simulation optimization framework
Investigated factors that affect the likelihood of charity donations being made based on real census data. Developed a naive classifier to compare testing results to. Trained and tested several supervised machine learning models on preprocessed census data to predict the likelihood of donations. Selected the best model based on accuracy, a modif…
supervised machine learning classifier model
Machine Learning Models for Absenteeism at Work Dataset
We will be creating an algorithmic crypto trading bot that will use the Kraken API to get crypto prices. We will use machine learning to determine the trend of the market from historical data and determine the best strategies/indicators to use.
What is the relationship between airline sentiments and airlines? What is the reason for the negativity mentioned in the dataset? What is the relation of time with sentiments? Which model is best for sentiment analysis when we do ensemble learning?
Twitter sentiment analysis allows you to keep track of what's being said about your product or service on social media, and can help you detect angry customers or negative mentions before they they escalate.
Gender recognition system based on Support Vector Machine (SVM) and machine learning
Smelling bugs with an Electronic Nose
A model I used (breast cancer dataset) to teach myself SVMs and learning more Scikit-learn w/ notes
"This program trains a model using 'SVM' or 'Softmax' and predicts the input data. Loss history and predicted tags are displayed as results."
SVM and Deep on MNIST Dataset.
To see if drivers were being profiled. I built a Support Vector Machine (SVM) classifier and a randomForest classifier to predict a driver's race given the traffic's stop's details. Successful classification will indicate the existence of bais in the traffic stops' data.
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