Classify tumors as either malignant or benign using K-Nearest Neighbors.

Breast Cancer Classifier

In this project you'll make your own Connect Four AI and try to beat ours

Build Your Own Connect Four AI

In this project, you will create a neural network that classifies mortality due to heart disease.

Classification

Build a deep learning model with TensorFlow to detect and classify infections from real X-ray scans.

Classify X-rays With Machine Learning

In this project, you will use a Convolutional Neural Network (CNN) to classify galaxies.

Classifying Galaxies

Use your knowledge of dplyr and tidyr to clean up this dataset containing a bunch of census data collected by the US government.

Cleaning US Census Data

It's time to build fluency in Alexa intents. In this next Pro Project, we're going to practice with the skill kit in Alexa Skill so you can hone your skills and feel confident taking them to the real world.
Why? Intents are the questions you want to ask Alexa. Let's edit some previous work to solidify your skills.  What's next? Skill kit, Intents, more Alexa. You got this!

Create a New Intent 

Bring together all of your data skills skills into a portfolio project. Clean, analyze, and visualize, a dataset and then compile your results into a portfolio-worthy report.

Data Scientist Final Portfolio Project

You will create a regression deep learning model that predicts an applicant's graduate admissions chances based on various parameters, such as grades, test scores, and program rating.

Deep Learning Regression with Admissions Data

Given that a student answered a question correctly, what is the probability that she really knows the material?

Dr. Dirac's Statistics Midterm

In this project you will categorize emails using a Naive Bayes Classifier.

Email Similarity

Use decision trees to predict what continent a flag comes from based on features like color and shape.

Find the Flag

Use deep learning to predict forest cover type based on cartographic variables.

Forest Cover Classification

Get practice using Python lists by keeping track of grades in multiple school subjects.

Gradebook

In this project, you will be using K-Means clustering and scikit-learn to cluster images of handwritten digits.

Handwriting Recognition using K-Means

Fit a line to data about the honeybee population decline in the United States.

Honey Production

The World Health Organization (WHO)'s Global Health Observatory (GHO) data repository tracks life expectancy for countries worldwide by following health status and many other related factors. 

Although there have been a lot of studies undertaken in the past on factors affecting life expectancy considering demographic variables, income composition, and mortality rates, it was found that the effects of immunization and human development index were not taken into account. 

This dataset covers a variety of indicators for all countries from 2000 to 2015 including:

* immunization factors
* mortality factors
* economic factors
* social factors
* other health-related factors
 

Ideally, this data will eventually inform countries concerning which factors to change in order to improve the life expectancy of their populations.
If we can predict life expectancy well given all the factors, this is a good sign that there are some important patterns in the data. Life expectancy is expressed in years, and hence it is a number. This means that in order to build a predictive model one needs to use regression. 

In this project, you will design, train, and evaluate a neural network model performing the task of regression to predict the life expectancy of countries using this dataset. Excited? Let's go!

Implementing Neural Networks

Practice your usage of Python lists to organize some pizza data.

Len's Slice

Build a wine quality classifier with logistic regression using regularization!

Logistic Regression with Regularization

Use clustering algorithms to investigate the way people think about masculinity with data from FiveThirtyEight.

Masculinity Survey

In this project, you will analyze some data from OKCupid, an app that focuses on using multiple choice and short answers to match users. You'll apply your machine learning knowledge to build, train, and test predictions that you draw from the data.

OKCupid Date-A-Scientist

Use Principal Component Analysis (PCA) to transform features from telescope data to classify particles!

PCA Project

Train Perceptrons to work like logic gates! This simple neuron can act as an AND or an OR gate.

Perceptron Logic Gates

Calculate and visualize MLB player strike zones based on their real data.

Predict Baseball Strike Zones With Machine Learning

In this project you will use a Logistic Regression model to predict whether or not a passenger survived the sinking of the RMS Titanic.

Predict Titanic Survival

Use random forests to predict the income of a person based on census data.

Predicting Income with Random Forests

In this project, you'll use linear regression and national survey data to predict the income of an individual based off of social characteristics like age, gender, and education.

Predicting Income with Social Data

For this project, you will be analyzing text message data using natural language processing techniques and libraries.

Text Message Analysis

Perform data transformations on a clothing company customer review dataset!

Transforming Data into Features

In this project, you will use real tweets and classifier models to find patterns in the way people use social media.

Twitter Classification

In this project you will use word embeddings to analyze the inaugural addresses of the United States of America presidents.

U.S.A. Presidential Vocabulary

Implement wrapper methods on a dataset relating to health and eating habits!

Projects in Machine Learning

All Projects in Machine Learning