Task 1 - Iris Flowers Classification ML Project
The iris flowers dataset contains numeric attributes, and it is perfect for beginners to learn about supervised ML algorithms, mainly how to load and handle data
Task 2 - Image to Pencil Sketch with Python
Read the image in RBG format and then convert it to a grayscale image. We can finally create the pencil sketch by mixing the grayscale image with the inverted blurry image.
Task 3 - Exploratory Data Analysis on Dataset - Terrorism
To do analysis and see the trends on terror attacks on different criteria
Task 4 - Prediction using Decision Tree Algorithm
Create the Decision Tree classifier and visualize it graphically. The purpose is that if we feed any new data to this classifier, it would be able to predict the right class accordingly
Task 5 - Develop A Neural Network That Can Read Handwriting
Project with the MNIST Handwritten Digit Classification Challenge and using Tensorflow and CNN