Tell us how we can help you?

Name

Country

Email

Phone

Message

Receive updates on WhatsApp

By tapping submit, you agree to Machine Learning Plus Privacy Policy & Terms & Conditions

Get a detailed look at our Data Science course

Comprehensive Learning Paths
150+ Hours of Videos
Complete Access to Jupyter notebooks, Datasets, References.

4.89/5

Ratings

57K+

Active Learners

Full Name

Email

Phone

Country

I would like to be kept up to date with new training programs/events/promotions/marketing.

By submitting this form, I accept Machine Learning Plus Privacy Policy.

Request A Call Back

Please leave us your contact details and our team will call you back.

Name

Country

Email

Phone

Message

Receive updates on WhatsApp

By tapping submit, you agree to Machine Learning Plus Privacy Policy & Terms & Conditions

Skip to content

Menu

Courses

Blog
Pricing
Testimonials
Product

Menu

Blog
Pricing
Testimonials
Product

Login

Menu

Blog
Courses
Pricing
Testimonials
Resources
Login

Getting Started
Beginners Corner
Courses
Python
Machine Learning
Time Series
Prob and Stats
SQL
Linear Algebra

Menu

Getting Started
Beginners Corner
Courses
Python
Machine Learning
Time Series
Prob and Stats
SQL
Linear Algebra

Home › Archives

Day: February 7, 2018

All SQL Gen AI Python PySpark Machine Learning Statistics Pandas Linear Algebra NLP Probability Plots Julia Deployment Time Series Deep Learning Linux Data Manipulation a16z generative ai General Uncategorized

Numpy Tutorial – Your first numpy guide to build python coding foundations

12 min Read article

Python

Numpy Tutorial – Your first numpy guide to build python coding foundations

This is part 1 of the numpy tutorial covering all the core aspects of performing data manipulation and analysis with numpy’s ndarrays. Numpy is...

Data Manipulation Machine Learning Numpy

Feb 7, 2018 12 min read

Subscribe to Machine Learning Plus for high value data science content

Linkedin Twitter Youtube Instagram

Resources
Blogs
Courses
Store
List of Blogs

Menu

Resources
Blogs
Courses
Store
List of Blogs

Project Bluebook
Time Series Template

Menu

Project Bluebook
Time Series Template

About us
Terms of Use
Privacy Policy
Contact Us
Refund Policy

Menu

About us
Terms of Use
Privacy Policy
Contact Us
Refund Policy

© Machinelearningplus. All rights reserved.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

Stay ahead in ML & Data Science

Tutorials, tips & free resources delivered weekly. Join 50,000+ practitioners.

MLmachinelearningplus

Learn machine learning, NLP, Python, statistics and more — through in-depth tutorials and practical guides.

Roadmap

1. The Complete Roadmap
2. Programming for DS
3. ML Algorithms
4. ML Ops
5. Deep Learning
6. Time Series
7. DS Industry Projects
8. Supplementary Courses

Offerings

All Courses
Complete Univ Access
Industry DS Projects
YouTube
List of Blogs
30 Day DS Interviews Prep
Tasklist for DS Projects
Jobs

Help

Drop a Query
FAQ's
Contact Us
Testimonials
Subscribe to Newsletter

© 2026 machinelearningplus. All rights reserved.

About Privacy Policy Terms of Service Terms and Conditions Imprint

🎓

Machine Learning Plus

AI & Data Science

Not Sure Where to Start
With AI & ML?

Book a free call with our expert and get a personalised learning roadmap

10-digit mobile number

I hereby consent to receive calls/messages from Machine Learning Plus and its partners.

Please confirm your consent to proceed.

📞

Thank You!

We'll Call You Soon!

Our learning advisor will reach out within 24 hours.
(Check your inbox too — we've sent a confirmation)

Manage Consent

To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions.

Functional Functional Always active

The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.

Preferences Preferences

The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.

Statistics Statistics

The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.

Marketing Marketing

The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.

Manage options
Manage services
Manage {vendor_count} vendors
Read more about these purposes

View preferences

{title}
{title}
{title}

Scroll to Top

Course Preview

Machine Learning A-Z™: Hands-On Python & R In Data Science

Free Sample Videos:

Machine Learning A-Z™: Hands-On Python & R In Data Science

Machine Learning A-Z™: Hands-On Python & R In Data Science

Machine Learning A-Z™: Hands-On Python & R In Data Science

Machine Learning A-Z™: Hands-On Python & R In Data Science

Machine Learning A-Z™: Hands-On Python & R In Data Science

test