Engaged in research to help improve to boost text sentiment analysis using facial features from video using machine learning.
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Updated
Jan 12, 2018 - Jupyter Notebook
Engaged in research to help improve to boost text sentiment analysis using facial features from video using machine learning.
Extended cross validation, feature selection methods for imbalanced data analysis
All independent variables do not have the similar impact on dependent variable. Here we will try to find the independent varibles that have most significant impact on dependent variable to make the ML algorithm fast and accurate by utilizing RFE.
A machine learning project using the data from this Kaggle competition: https://www.kaggle.com/c/random-acts-of-pizza
Case Study for Churn Modelling in a NGO
using Drebin dataset to distinguish between malwares and not malwares
CSCI 54900 INTELLIGENT SYSTEMS PROJECT
HR Analytics Dataset
Bike Sharing in Washington D.C.
Explored data using data visualisation and exploratory data analysis. Used Logistic Regression to create a basic prediction model. Improved model using recursive feature elimination.
Through this research, we are able to model a student’s final grade in a particular subject and link it directly to certain relevant features that influence the outcome. We use the C5.0 decision tree technique to model the data.
Linear Regression, how number of features affect outcome
King County House Sales
Predicting survival of passengers for titanic dataset using RF and a NN
Safe or not safe to eat mushroom? (Using a MLP model)
The classification goal is to predict whether the client will subscribe (1/0) to a term deposit (variable y).
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