5 Machine Learning BEGINNER Projects (+ Datasets & Solutions)

I this tutorial I share 5 Beginner Machine Learning projects with you, and I give you tips how to solve all of them. These projects are for complete beginners and should teach you some basic machine learning concepts. With each project the difficulty increases a little bit and you’ll learn a new algorithm.

For each project we give you an algorithm that you can use. The links to the datasets can be found below.

Project 1:

• https://www.kaggle.com/rsadiq/salary
• https://www.cs.toronto.edu/~delve/data/boston/bostonDetail.html

Project 2:

• https://archive.ics.uci.edu/ml/datasets/iris
• https://github.com/allisonhorst/palmerpenguins

Project 3:

• https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)

Project 4:

• https://archive.ics.uci.edu/ml/datasets/spambase

Project 5:

• https://www.kaggle.com/c/titanic/data

 

12 Cheat Sheets for Machine Learning, Data Science & Big Data

1. PySpark - RDD Basics
2. PySpark - SQL Basics
3. Python Basics
4. SciPy - Linear Algebra
5. NumPy Basics
6. Pandas
7. Scikit-Learn
8. Keras
9. Matplotlib
10. Seaborn
11. Bokeh
12. Jupyter Notebook Cheat Sheet