Using Kaggle Kickstarter data (Almost 1 million rows) I clean, combine, wrangle, convert and dummy code it. I apply statistical methods to for hypothesis testing. Then we use SKlearn, Anova, RandomClassifier for feature selection. After that I created logistic regression model. At the end I applied ML models and ANN for model selection.
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Artificial Neural Network applied on Kickstarted dataset from Kaggle.
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