#ALGO SKELETONS
This folder contains code snippets illustrating the use of the 4 main Machine Learning Algorithms i.e. Linear Regressions, K-Nearest Neighbour, Convutional Neural Networks, Decision Trees and Logistic Regression.
- Linear Regression, KNN and Logistic Regression. These three algorithms are explained through the use of a simple project which has an aim of predicting the salary of an employee in a huge company. This code snippet can be used as a skeleton for building projects with a related goal, e.g predicting the price of a ticket for an artist before the concert or predicting the price of a market commodity.
Datasets Used: Salary_Data.csv and SocialNetworkAds.csv
- Decision Trees Decision Tree algorithm is explained through the use of a sample project which aims at outputing the probability of a child suffering from Kyphosis based on their age. This example illustrates the usefulness of Decision Trees in the medical Sector.
Dataset Used (kyphosis.csv)
- Conv Neural Networks CNN are explained through the use of 4 common projects which, House Price prediction, movie sentimental Analysis and Image Recognition
DataSets Used Boston Housing Dataset, MNIST, imdb dataset and reuters
#OPENCV PROJECTS
This folder contains sample projects which all rely on the OpenCv framework. From AgeGender Classifiers to Realtime Object Detection this folder has fully functional code that can be cleaned and customized to fit a in real life project.
######################## HAPPY CODING ####################################