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100 Days

Machine learning modules from Udemy

This project involves raw HTML and CSS code to make a copy of my portfolio.

This is tapping inside Coin Market Cap to display the latest cryptocurrency values.

My own package that is able to identify which dog is in the picture.

This application will box in each face that the camera can see and tell you how many faces it detects.

This will count how many faces there are inside the imported picture.

Variations in showing data through visual computation.

Here I have used the Faker import to create fake data and manipulated it in different ways.

In this exercise I will work with image data: specifically the famous MNIST data set. This data set contains 70,000 images of handwritten digits in grayscale (0=black, 255 = white). The images are …

For this exercise, I will train a "vanilla" RNN to predict the sentiment on IMDB reviews. The data consists of 25000 training sequences and 25000 test sequences. The outcome is binary (positive/neg…

In this exercise I will show how to load pre-trained models such as VGG16 and ResNet. This is a fairly simple exercise designed to get familiar with models like VGG and Resnet and the output they g…

In this exercise I will build and train convolutional neural networks. In the first part, I walk through the different layers and how they are configured. In the second part, I built my own model, …

In this exercise I will use backpropagation to train a multi-layer perceptron (with a single hidden layer). The experiment deals with different patterns and see how quickly or slowly the weights co…

From the wide variety of Deep Neural Network techniques, I have orchestrated a project that deals with the following topics: Convolution Neural Network (CNN), Transfer Learning, Data Augmentation, …

Udemy guided application

A filter that places a mustache on the users face

Udemy guided application

Udemy guided application

This project reads text files and organizes the results into text files with serval parameters.

This includes the following data structure technique: Radix Sort

This includes the following data structure technique: Min Heap

This includes the following data structure techniques: exponentiation, recursive function, and sorted array.

This includes the following data structure techniques: binary search, binary search tree nodes, and one stack.

Checking to see if the account number entered is a valid code.