MACHINE LEARNING

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Autism prediction using eye-tracking data - for a client in healthcare industry

Convolutional Neural Network uses the eye-tracking fixmap and heatmap data of the normal and ASD class groups. Tuned the model for best hyperparameters and improved the AUC ROC value by 20% from the baseline value

EDA

DATA PRE-PROCESSING

MODEL BUILDING

MODEL TRAINING

HYPER-PARAMETER TUNING

PREDICTION

MODEL EVALUATION

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House Price Prediction

View on Github
Determine the selling price of a house taking into account of many factors like location, size, age of house etc,. Extensive Exploratory Data Analysis on this Kaggle dataset revealed some of the misinterpreted/low variance variables and aided in the process of Feature selection for model training

EDA

DATA CLEANING

FEATURE ENGINEERING

DATA PRE-PROCESSING

MODEL TRAINING

GRADIENT BOOSTING

HYPER-PARAMETER TUNING

MODEL EVALUATION

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Autism prediction using face images

View on Github
Predicting Autism Spectrum Disorder(ASD)in children using face images of children. Trasfer Learning method is incorporated in the Convolutional Neural Network model to efficiently extract features by connecting the pre-trained VGG16 to the fully connected layer

EDA

DATA PRE-PROCESSING

MODEL BUILDING

TRANSFER LEARNING

MODEL TRAINING

PREDICTION

MODEL EVALUATION

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