Data Analyst expert in Python, SQL, Statistical Analysis, Data Mining
@hungphhm
Launching a new product line is expensive and every company needs to make sure it is using the best techniques to sell the new product effectively. This project aims to analyze the performance of three sales methods and the difference of each customer group.
Want to improve marketing efforts? increase customer retention? and boost overall revenue? Don't worry it is exactly what this project is for.
My goal for this project was to create intelligent chatbot proactively automate various tasks with speed and avoid human errors using conversational AI technology.
The goal of this project is to develop a ML-based Binary Classification Model by using user's behavior as features that predicts which users are likely to become paid users.
After import ResNet50 & VGG16 pretrained models to our Sequential model and re-train the models tayloring to our cases. It's time to compare the performance.
In previous notebook, we applied pretrained ResNet18 with PyTorch. now let's dig into the champions ResNet50 and VGG16 models with tensorflow, keras libraries.
In this project, we will apply pretrained models with PyTorch library to solve image classification rather than build a Deep Learning (CNNs) model from scratch.