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Machine Learning for Absolute Beginners - Level 2 

  • Offered byUDEMY

Machine Learning for Absolute Beginners - Level 2
 at 
UDEMY 
Overview

Learn the Python Fundamentals and Pandas Library for Data Science Projects

Duration

4 hours

Total fee

449

Mode of learning

Online

Difficulty level

Beginner

Credential

Certificate

Machine Learning for Absolute Beginners - Level 2
 at 
UDEMY 
Highlights

  • 30-Day Money-Back Guarantee
  • Certificate of completion
  • Full lifetime access
  • Learn from 5 downloadable resources and 1 article
Read more
Details Icon

Machine Learning for Absolute Beginners - Level 2
 at 
UDEMY 
Course details

What are the course deliverables?
  • 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
More about this course
  • Feedback from Students There's not much I can say. This instructor knows how to teach people, especially beginners. One of the best I've come across so far! Irlon T.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 DavidI 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 MLMachine 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 BeginnersThe “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 PandasThe 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 projectsUsing JupyterLab tool for Jupiter notebooksLoading large datasets from files using PandasPerform data analysis and explorationPerform 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!
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Machine Learning for Absolute Beginners - Level 2
 at 
UDEMY 
Curriculum

Getting Started with Level 2!

Welcome!

Anaconda Installation

JupyterLab Overview

Working with a Jupyter Notebook

Python Fundamentals for Data Science

Overview

Variables and Data Types

Strings

Lists

IF and For-Loop Statements

Functions

Dictionaries

Classes, Objects, Attributes, and Methods

Importing Modules

Libraries for Data Science Projects

Exercise #1 - Python Fundamentals

Introduction to the Pandas Library

Overview

Series Data Structure (1D)

DataFrame Data Structure (2D)

Data Selection in a DataFrame

Exercise #2 – Pandas Series and DataFrame

Loading Data into a DataFrame

Overview

Kaggle and the Titanic Dataset

Loading a Tabular Data File

Adjusting the Loading Parameters

Preview the DataFrame

Using Summary Statistics

The Concept of Methods Chaining

Sorting and Ranking

Filtering

Grouping

Exercise #3 – Data Loading and Analysis

Data Cleaning and Transformation

Overview

Removing Columns or Rows

Removing Duplicate Rows

Renaming Column Labels

Dropping Missing Values

Filling-in Missing Values

Creating Dummy Variables

Exporting Data into Files

Exercise #4 – Data Cleaning and Transformation

Course Summary

Let's Recap and Thank You!

*** BONUS ***

Faculty Icon

Machine Learning for Absolute Beginners - Level 2
 at 
UDEMY 
Faculty details

Idan Gabrieli
Designation : Online Teacher | Data, Cloud, AI

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Machine Learning for Absolute Beginners - Level 2
 at 
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