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2021-01-16 17:32:22
30-Day Money-Back Guarantee

This course includes:

  • 4 hours on-demand video
  • 1 article
  • 5 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
Development Data Science

Machine Learning for Absolute Beginners - Level 2

Learn the Python Fundamentals and Pandas Library for Data Science Projects
Rating: 4.5 out of 54.5 (119 ratings)
20,902 students
Created by Idan Gabrieli
Last updated 1/2021
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Python for Data Science and Machine Learning Projects
  • Learn to use the Pandas Data Science Library
  • JupyterLab Development tool
  • Develop Jupyter Notebooks
  • Loading and Analysing Tabular Datasets
  • Selecting, Filtering, and Cleaning Data
  • Grouping, Sorting, and Exporting Data

Course content

6 sections • 42 lectures • 3h 59m total length

  • Preview02:19
  • Anaconda Installation
    04:22
  • JupyterLab Overview
    03:51
  • Working with a Jupyter Notebook
    14:16

  • Preview02:52
  • Variables and Data Types
    07:22
  • Strings
    07:44
  • Lists
    09:44
  • IF and For-Loop Statements
    07:08
  • Functions
    07:59
  • Dictionaries
    11:01
  • Classes, Objects, Attributes, and Methods
    07:28
  • Importing Modules
    07:34
  • Libraries for Data Science Projects
    07:03
  • Exercise #1 - Python Fundamentals
    00:33

  • Overview
    02:59
  • Series Data Structure (1D)
    12:41
  • DataFrame Data Structure (2D)
    04:52
  • Data Selection in a DataFrame
    14:55
  • Exercise #2 – Pandas Series and DataFrame
    00:34

  • Overview
    01:14
  • Kaggle and the Titanic Dataset
    05:48
  • Loading a Tabular Data File
    06:35
  • Adjusting the Loading Parameters
    13:06
  • Preview the DataFrame
    08:14
  • Using Summary Statistics
    04:48
  • Preview05:17
  • Sorting and Ranking
    03:13
  • Filtering
    04:53
  • Grouping
    04:52
  • Exercise #3 – Data Loading and Analysis
    00:34

  • Overview
    02:07
  • Removing Columns or Rows
    04:17
  • Removing Duplicate Rows
    08:37
  • Renaming Column Labels
    03:32
  • Dropping Missing Values
    07:29
  • Filling-in Missing Values
    03:32
  • Creating Dummy Variables
    08:16
  • Exporting Data into Files
    02:39
  • Exercise #4 – Data Cleaning and Transformation
    00:27

  • Preview02:45
  • *** BONUS ***
    00:07

Requirements

  • There are no specific prerequisites for starting this training as it is designed for absolute beginners.
  • It is recommended to start with "Machine Learning for Absolute Beginners - Level 1"

Description

********* Feedback from Students ************
Excellent course, allows you to go step by step and get to know the bookcase, direct to the point thank you for such good teaching Jesus David

I am currently new in data science, I knew Python language and Competitive programming after that I was waiting to learn data science by myself. This course really very helpful for me to learn new things and data science and machine learning. I am really waiting for this new part (Level 3). Animesh K.

A fantastic course for getting the knowledge of pandas in depth along with ML applications. This is what I am searching for. It had better if it has some more quiz questions to test our skills and understanding. Enjoyed a lot. Anshika Verma

***********************************************

Unleash the Power of ML

Machine Learning is one of the most exciting fields in the hi-tech industry, gaining momentum in various applications. Companies are looking for data scientists, data engineers, and ML experts to develop products, features, and projects that will help them unleash the power of machine learning. As a result, a data scientist is one of the top ten wanted jobs worldwide!

Machine Learning for Absolute Beginners

The “Machine Learning for Absolute Beginners” training program is designed for beginners looking to understand the theoretical side of machine learning and to enter the practical side of data science. The training is divided into multiple levels, and each level is covering a group of related topics for continuous step by step learning.

Level 2 - Python and Pandas

The second course, as part of the training program, aims to help you start your practical journey. You will learn the Python fundamentals and the amazing Pandas data science library, including:

  • Python syntax for developing data science projects

  • Using JupyterLab tool for Jupiter notebooks

  • Loading large datasets from files using Pandas

  • Perform data analysis and exploration

  • Perform data cleaning and transformation as a pre-processing step before moving into machine learning algorithms.

Each section has a summary exercise as well as a complete solution to practice new knowledge.

The Game just Started!

Enroll in the training program and start your journey to become a data scientist!

Who this course is for:

  • Developers curious about data science projects
  • Beginner Data Scientists
  • AI Product Managers
  • ML Engineers
  • AI/ML Consultants

Instructor

Idan Gabrieli
Presales Manager | Entrepreneur | Cloud and AI Expert
Idan Gabrieli
  • 4.5 Instructor Rating
  • 2,593 Reviews
  • 98,427 Students
  • 15 Courses

Idan Gabrieli is an experience solution engineer manager (B.Sc. and MBA) with a comprehensive technical background in a variety of technologies. Idan is working with hundreds of business companies worldwide while helping to transform business challenges, requirements, and opportunities into practical use cases.

As part of his passion for sharing years of experience and knowledge, he created multiple online courses about a variety of topics while teaching thousands of students worldwide.

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