Data Science- Python for Machine Learning

Hands on Python for Data Science

Created by : Rated :4.1 8854 views

Last Updated: 2022-04-25 06:04:33 English Course Type: Self Learning

Work on data science projects using Python.
Python Basics
Data Mining
Data Cleaning

How to use this course:

This class is not meant to be merely observed, it is a practical lesson which requires you to open your Jupyter notebook and type the code as you see it on the screen. This way you will understand how the code works. Feel free to experiment with the code by entering your own values.

A hands-on approach to learning Data Science using Jupyter Notebooks. All explanations are present on the screen so that you can pause the video and read them at your own pace. Installation instructions have been provided for Python as well as it's libraries.

Installation instructions have been provided in the course for the following libraries:
Jupyter Notebooks
Python
Numpy
Scipy
Matplotlib
Pandas
Scikit-Learn
Seaborn

Beginners

Section 1 : Introduction to Jupyter Notebooks 2 Lectures 00:11:36
Lecture 1 :
Tour of Jupyter Notebooks Preview
Lecture 2 :
Jupyter Notebooks Quiz
A quick quiz to test students.
Section 2 : Python Basics 3 Lectures 00:34:06
Lecture 1 :
Python Basics - Part 1
Links to Python installation instructions have been provided for Mac, Windows and Linux. We begin with the basics of Python such as: Data types - A detailed explanation of all the data types available in Python Declaring Variables and Assigning Values - How to declare a variable and then assign a value to it. Printing Values- After declaring and assigning values to a variable, it must be printed in order to be visible. Importing Libraries - How to import Python Libraries so that they can be used in the notebook. 5. Python Operators - How to conduct basic mathematical operations such as: â€¢ Additionâ€¢ Subtractionâ€¢ Multiplication â€¢ Division â€¢ Comparison (greater than, less than or equal to) â€¢ Logical operators (and, or , not, xor) â€¢ Bitwise operators â€¢ Assignment operators â€¢ Identity operators â€¢ Membership operators. 6. Strings â€¢ Find the length of a string â€¢ Replace a word â€¢ Find a word 7. Lists â€¢ Add an element to a list â€¢ Print a section of a list â€¢ Remove an element of a list 8. Tuples9. Dictionaries â€¢ Creating a dictionary â€¢ Print an element â€¢ Delete an element
Lecture 2 :
Python Basics - Part 2
Continuation of Python basics: 1. Control Flow 2. Loops â€¢ For loopâ€¢ While loopâ€¢ Nested loopâ€¢ Adding a Breakâ€¢ Continuing a loop 3. Syntax 4. Functions â€¢ Built in functionsâ€¢ User defined functions
Lecture 3 :
Python Basics - Part 3
The final part of the series 'Python Basics' : Classes Objects Modules Exception Handling
Section 3 : Basic Python Libraries for Data Science 1 Lectures
Lecture 1 :
Installation instructions for Numpy, Scipy, Matplotlib, Pandas and Scikit-Learn
Select the appropriate link below for your system and install all the necessary libraries for the remainder of this course.
Section 4 : Numpy 1 Lectures 00:10:39
Lecture 1 :
Numpy
Section 5 : Scipy 1 Lectures 00:09:38
Lecture 1 :
Scipy
Section 6 : Matplotlib 1 Lectures 00:11:00
Lecture 1 :
Matplotlib
Section 7 : Pandas 1 Lectures 00:13:26
Lecture 1 :
Pandas
Section 8 : Machine Learning Concepts 1 Lectures 00:10:42
Lecture 1 :
Machine Learning Basics
Section 9 : Scikit-learn 1 Lectures 00:09:20
Lecture 1 :
Scikit-learn

How do i access the course after purchase?
It's simple. When you sign up, you'll immediately have unlimited viewing of thousands of expert courses, paths to guide your learning, tools to measure your skills and hands-on resources like exercise files. There’s no limit on what you can learn and you can cancel at any time.
Are these video based online self-learning courses?
Yes. All of the courses comes with online video based lectures created by certified instructors. Instructors have crafted these courses with a blend of high quality interactive videos, lectures, quizzes & real world projects to give you an indepth knowledge about the topic.
Can i play & pause the course as per my convenience?
Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on.
How do i contact the instructor for any doubts or questions?
Most of these courses have general questions & answers already covered within the course lectures. However, if you need any further help from the instructor, you can use the inbuilt Chat with Instructor option to send a message to an instructor & they will reply you within 24 hours. You can ask as many questions as you want.
Do i need a pc to access the course or can i do it on mobile & tablet as well?
Brilliant question? Isn't it? You can access the courses on any device like PC, Mobile, Tablet & even on a smart tv. For mobile & a tablet you can download the Learnfly android or an iOS app. If mobile app is not available in your country, you can access the course directly by visting our website, its fully mobile friendly.
Do i get any certificate for the courses?
Yes. Once you complete any course on our platform along with provided assessments by the instructor, you will be eligble to get certificate of course completion.
For how long can i access my course on the platform?
You require an active subscription to access courses on our platform. If your subscription is active, you can access any course on our platform with no restrictions.
Is there any free trial?
Currently, we do not offer any free trial.
Can i cancel anytime?
Yes, you can cancel your subscription at any time. Your subscription will auto-renew until you cancel, but why would you want to?

Vinita Silaparasetty,

35416 Course Views

1 Courses

Vinita Silaparasetty is currently exploring the field of Artificial Intelligence, particularly in Machine Learning, Deep Learning and Neural Networks. 1) Quora Top writer (2018) 2) Co-organizer of the "Bangalore Artificial Intelligence Meetup" group 3) Co-organizer of the "AI for Women" meetup group 4) Ambassador for the "Charter of Compassion" #datascience #artificialintelligence #machinelearning #vinitas #vinita #vinitamohan #deeplearning