MachineLearningUsingPython

Machine Learning is a latest buzzword floating around. It deserves to, as it is one of the most interesting subfield of Computer Science.

What does Machine Learning really means?

Machine Learning is an application of artificial intelligence(AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.

Machine Learning focuses on the development of computer programs that can access data and use it to learn for themsleves. The process of learning begins with data, such as, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly.

Repository Overview

This repository is about different Machine Learning algorithm approaches as per the industry practices.

Table of Contents

• Breast Cancer Survival
• Avacado price Prediction
• Image Color Recognision
• Spam/Ham Messages Prediction
• Gouls Prediction
• Property Inspection Prediction

Breast Cancer Survival

• Breast Cancer is one of the major cancer decease which occurs in women
• It can vary widely when comes to age affected but its most common between the age group 40-65 years
• Around 2 million women are prone to this decease in a year.
• From the given dataset we will be studying breast cancer survived patients after being operated for the years 1960-1975
• Link for the Jupyter notebook

Avacado Price Prediction

• Avacado is considered as one of the healthiest fruits available
• From past few years we see a increase in the consumption of avacado fruits as our everyday meals part
• In this dataset we are going to predict the price of avacado fruits based on the sales from years 2014-2018
• Link for the Jupyter notebook

Image Color Recognision

• As I was reading through image processing I came across this very interesting topic of color recognision
• From a image which has color range RGB we find that there is one color which is dominent
• In this project I have taken a set of 5 images and written code which gives output as images which has that particular dominent color
• Link for the Jupyter notebook

Spam/Ham Messages Prediction

• This is a beginner's example of document classification task which involves classifying an email as spam or not spam mail.
• Spam box in your Gmail account is the best example of this.
• Link for the Jupyter notebook

Ghouls Predictions

• This is a fun kaggle project which predicts the ghouls/ghost
• In this project I have taken a dataset which predicts the ghouls/ghosts based on different features
• Link for the Jupyter notebook

Property Inspection Prediction

• This is a beginners project on the property inspection based on the hazards
• In this dataset I have done property inspection based on different hazards
• Link for the Jupyter notebook