Machine Learning and Data Science using Python
Learn about Data Science and Machine Learning with Python! Including Numpy, Pandas, Matplotlib, Scikit-Learn and more!
Development ,Data Science,Machine Learning
Lectures -32
Duration -1.5 hours
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Course Description
You are not alone. Digital Disruption experts are here to help you build your career in Machine Learning, Deep Learning and Data Science.
A good beginning is half of the success you have achieved half the success by enrolling on our course, the rest half is consistent learning after that great beginning. We are committed to excelling in providing good beginning and consistent learning to our learners.
Skill-up to Scale-up. Start with our incredible course. Wish you all the very best in your future endeavours.
Goals
Introduction to Python.
Data Structures in Python.
Control Structures and Functions.
Python for Data Science.
Introduction to NumPy.
Operations on NumPy Arrays.
Introduction to Pandas.
Getting and Cleaning Data.
Data Visualisation in Python.
Introduction to Data Visualisation.
Basics of Visualisation.
Plotting Data Distributions.
Plotting Categorical and Time-Series Data.
Prerequisites
No programming experience is needed.

Curriculum
Check out the detailed breakdown of what’s inside the course
Machine Learning and Data Science using Python
32 Lectures
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ML and AI Pre Program Basics Index 03:10 03:10
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Welcome to the Pre Program Preparatory Content 04:26 04:26
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Introduction to Python 00:42 00:42
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Anaconda Installation 05:39 05:39
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Jupyter Notebook Introductory Session Shortcuts 06:14 06:14
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Data Structures 04:08 04:08
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Python Code Introduction DataTypes 03:00 03:00
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Python Code Lists 05:16 05:16
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Python Code Tuples 01:23 01:23
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Python Code Dictionaries 03:23 03:23
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Python Code Sets 01:16 01:16
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Control Structures and Functions 04:41 04:41
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Python Code IfElse 01:50 01:50
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Python Code Looping 02:10 02:10
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Python Code Comprehensions 02:03 02:03
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Python Code Functions 01:44 01:44
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Python Code Map, Reduce and Filter 01:16 01:16
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Introduction to Numpy 03:12 03:12
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Python Code NumPy Basics 10:27 10:27
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Operations on Numpy arrays 03:17 03:17
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Python Code Operations on Numpy Arrays 04:13 04:13
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Introduction to pandas 03:02 03:02
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Getting and cleaning data 06:32 06:32
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Vectors and Vector spaces 05:03 05:03
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Linear Transformations And Matrices 02:42 02:42
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Eigen values and Eigen vectors 03:41 03:41
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Multivariable Calculus 04:41 04:41
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Introduction to data visualisation 03:14 03:14
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Basics of Visualisation 03:51 03:51
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Plotting data distributions 04:13 04:13
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Plotting Categorical and Time Series Data 02:54 02:54
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Summary 03:06 03:06
Instructor Details

Digital Disruption Pte Ltd
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