Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft

In this project, first and foremost to showcase how I would run an end-to-end data science project based on Lending Club dataset and its domain problems. Second, from here with the data insights in…

In this project, I have combined hypothesis testing with several different classification models such as Logistic Regression, Random Forest, XGBoost, and Support Vector Machine (SVM) were built, op…

In this project, I use SQL to query databases. From there, I use hypothesis testing and design experiment to specify both the null hypothesis and the alternative hypothesis for the problem at hand.

In this project, I used the OSEMN data science workflow to obtain, scrub, explore, model, and interpret a King County dataset with a multivariate linear regression to predict the sale price of houses.

In this project, I have produced 4 different Jupyter Notebook Projects on a variety of subjects - ranging from predictive modeling to hypothesis testing to sentiment analysis.