Packed with practical advice, resources, and fundamental principles that you can use anywhere.
What's inside:
👉 Learning Path for Data Science
👉 Machine Learning Guide
👉 Portfolio and Project Building Tips
👉 30+ Technical & Behavioral Interview Questions
👉 Resume, Cover Letter, & pitch templates
👉 And more!
I'll send you the PDF Ebook directly to you and answer any questions that you may have.
Welcome to ClaoudML
Free Data Science & Machine Learning Resources
Do you want free resources?
Do you want more resources on Data Science, Analytics, and Machine Learning? Simply enter your email below and I'll send you weekly updates. Free resources won't hurt you!
Who is Randy Lao?
You're on a journey to learn Data Science, and I'm here to help you along the way!
My name is Randy Lao ☁️ . I like to contribute my share of resources with you all. After realizing that most data science resources are hard to find to those new to the field, I want to make this site an easily accessible way for you to get your materials. These resources should come in handy to any data scientists at all levels of experience.
Pass the baton – Share this site with your friends!
Springboard Data Science Bootcamp
I'm an Alumni. If you're interested to learn about my experience, send me an email!
My Services
I would love to help you out with anything, just email me at randylaosat@gmail.com
📝 Resume Revamp
Provide crucial feedback + revisions on your resume to land those interview calls easily.
🙋 1-on-1 Mentoring
Provide tailored coaching and outline a clear roadmap for you to follow, including portfolio building and interview tips.
💎 LinkedIn Optimization
Provide the inside scoop of how recruiters use LinkedIn and how you can leverage it to stand out from the crowd.
My Recommended Courses
My Recommended Courses to Learn Data Science (DataCamp & Udemy)
All Your Guidance in 1 Book
The e-book that will help you land your data science job.
The Friendly Data Science Handbook 202014.95Save yourself the countless hours and get my 48 page data science handbook that will cover all the important concepts on how you can learn data science and prepare for those job interviews.
Packed with practical advice, resources, and fundamental principles that you can use anywhere.
What's inside:
👉 Learning Path for Data Science
👉 Machine Learning Guide
👉 Portfolio and Project Building Tips
👉 30+ Technical & Behavioral Interview Questions
👉 Resume, Cover Letter, & pitch templates
👉 And more!
I'll send you the PDF Ebook directly to you and answer any questions that you may have.QuantityComing soonData Science☁️
"Data Science is watching you"
Data Science Resources
The best curated list of Data Science materials on the web!
Ways to Learn Data Science
Here are some different approaches to start your Data Science Journey. Remember, there is no right path, there is only your path!
Data Science in Python
Here's a simple guideline that you can follow to learn Data Science in Python!
Essential Skills for Data Science
Here are 10 Essential Skills that are needed for Data Science! It gives you a high-level overview of what is needed.
Expert Advice on Data Science
The advice you'll need to become a Data Scientist.
This is a must read to prepare yourself for the Data Science Interview!
Guide: Data Science Pipeline
Here is a beginner's guide to the Data Science Pipeline. Learn how the whole process works, from start to finish.
SQL For Data Science
Everything you'll need about SQL to prepare yourself in Data Science.
10 Data Science Projects
Not sure what projects to work on? Take a look at these 10 amazing Kaggle projects!
Data Storytelling 101
Here are 6 Steps on how to tell your story like a Senior Data Scientist!
Data Science YouTube Videos
I've compiled some of the best YouTube videos that you can find for learning Data Science!
GitHub Repositories for Data Science
Some great GitHub Repos to learn Data Science!
Best Data Science Blogs
My top 10 favorite blogs to learn Data Science and Machine Learning
All the resources you need to learn Web Scraping in Python + BeautifulSoup
Machine Learning ☁️
"Machine Learning is the future"
Machine Learning Resources
All of the best Machine Learning resources.
The foundations of Machine Learning is a must. Here are some of the most essential concepts you need to know for Machine Learning.
Best Machine Learning Tutorials
There are an overwhelming number of courses and tutorials available online. These are all introductory content and are the more popular ones you'll find.
A new approach to learn Machine Learning Google Style. This is a crash course series!
Start Here if you are new to Machine Learning! This article will cover the basics in an easy manner.
Stanford Machine Learning Notes
Andrew Ng's Stanford Machine Learning Notes and slides all in one place!
Best Machine Learning Slides
If you want to learn Machine Learning from Scratch and get a good understanding on what's under the hood, then check these slides out!
Best Machine Learning Glossary
One of the best Machine Learning Glossary by Google that I've found online. It will definitely come in handy!
Machine Learning Algorithms
Here are 8 of the most common and popular machine learning algorithms. These articles will help clarify everything!
How To Start a ML Project
A step by step mini-guide on how you can start any Machine Learning Project.
A nice slide presentation about Deep Learning and Machine Learning. It's so GOOD! By Tess Ferranandez
"Reading one book is like eating one potato chip"
Free Books ☁️
Data Science & Machine Learning Books
They are all free!
Instagram
Follow @data.rl
Math and Statistics ☁️
"There are three kinds of lies - lies, damned lies and statistics."
Essential Math & Statistics
The essential maths to understand Data Science and Machine Learning
Matrices, Vectors, Eigenvalues/Eigenvectors, Linear Transformations & Equations
Sampling Distribution, Central Limit Theorem, Hypothesis Testing, Types of Errors, ANOVA, Chi-Square, T-Test
Random Variables, Types of Distributions, Sampling, Conf. Intervals, Z Scores
Formulating a Real Problem to a Mathematical Model
Gradient Algorithms & Objective Functions
Trees, Nodes, Edges
Discussion Page ☁️
Don't be shy. We don't bite.
Feedback
Feedback is greatly appreciated.You + Us = Awesome.
© 2018
