Data Science Projects

Welcome to this repo!

Here, you will find the exercises from udemy's course Python for Data Science and Machine Learning Bootcamp.

DNN Classifier with TensorFlow vs Random Forest on Bank notes Authentication Dataset

Jupyter Notebook: Short EDA and feature scaling followed by TensorFlow DNNClassifier with 3 hidden layers and comparison to RandomForestClassifier on Bank notes authentication dataset

Logistic Regression on Advertising Dataset

Jupyter Notebook: Short EDA and logistic regression fit of a toy dataset

Single Decision Tree vs Random Forest on Loans Dataset

Jupyter Notebook: Short EDA and decision tree / random forest classification on toy dataset

K-Means clustering of private/public colleges

Jupyter Notebook: Short EDA and K-Means clustering of toy dataset

SVM classification using Iris Dataset

Jupyter Notebook: Short EDA and SVM classification on toy dataset

K Nearest Neighbors on Take-home style Dataset

Jupyter Notebook: Short EDA and KNN classification on toy dataset