Machine Learning for Absolute Beginners Level 2

Machine Learning for Absolute Beginners – Level 2, available at $69.99, has an average rating of 4.52, with 42 lectures, based on 2065 reviews, and has 28609 subscribers.

You will learn about 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 This course is ideal for individuals who are Developers curious about data science projects or Beginner Data Scientists or AI Product Managers or ML Engineers or AI/ML Consultants It is particularly useful for Developers curious about data science projects or Beginner Data Scientists or AI Product Managers or ML Engineers or AI/ML Consultants.

Enroll now: Machine Learning for Absolute Beginners – Level 2

Summary

Title: Machine Learning for Absolute Beginners – Level 2

Price: $69.99

Average Rating: 4.52

Number of Lectures: 42

Number of Published Lectures: 42

Number of Curriculum Items: 42

Number of Published Curriculum Objects: 42

Original Price: $174.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

Developers curious about data science projects

Beginner Data Scientists

AI Product Managers

ML Engineers

AI/ML Consultants

Target Audiences

Developers curious about data science projects

Beginner Data Scientists

AI Product Managers

ML Engineers

AI/ML Consultants

********* 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 teachingJesus 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

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Unleash the Power of ML

Machine Learningis 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!

Course Curriculum

Chapter 1: Getting Started with Level 2!

Lecture 1: Welcome!

Lecture 2: Anaconda Installation

Lecture 3: JupyterLab Overview

Lecture 4: Working with a Jupyter Notebook

Chapter 2: Python Fundamentals for Data Science

Lecture 1: Overview

Lecture 2: Variables and Data Types

Lecture 3: Strings

Lecture 4: Lists

Lecture 5: IF and For-Loop Statements

Lecture 6: Functions

Lecture 7: Dictionaries

Lecture 8: Classes, Objects, Attributes, and Methods

Lecture 9: Importing Modules

Lecture 10: Libraries for Data Science Projects

Lecture 11: Exercise #1 – Python Fundamentals

Chapter 3: Introduction to the Pandas Library

Lecture 1: Overview

Lecture 2: Series Data Structure (1D)

Lecture 3: DataFrame Data Structure (2D)

Lecture 4: Data Selection in a DataFrame

Lecture 5: Exercise #2 – Pandas Series and DataFrame

Chapter 4: Loading Data into a DataFrame

Lecture 1: Overview

Lecture 2: Kaggle and the Titanic Dataset

Lecture 3: Loading a Tabular Data File

Lecture 4: Adjusting the Loading Parameters

Lecture 5: Preview the DataFrame

Lecture 6: Using Summary Statistics

Lecture 7: The Concept of Methods Chaining

Lecture 8: Sorting and Ranking

Lecture 9: Filtering

Lecture 10: Grouping

Lecture 11: Exercise #3 – Data Loading and Analysis

Chapter 5: Data Cleaning and Transformation

Lecture 1: Overview

Lecture 2: Removing Columns or Rows

Lecture 3: Removing Duplicate Rows

Lecture 4: Renaming Column Labels

Lecture 5: Dropping Missing Values

Lecture 6: Filling-in Missing Values

Lecture 7: Creating Dummy Variables

Lecture 8: Exporting Data into Files

Lecture 9: Exercise #4 – Data Cleaning and Transformation

Chapter 6: Course Summary

Lecture 1: Lets Recap and Thank You!

Lecture 2: *** BONUS ***

Instructors

Idan Gabrieli
Online Teacher | Data, Cloud, AI

Rating Distribution

1 stars: 9 votes

2 stars: 22 votes

3 stars: 221 votes

4 stars: 768 votes

5 stars: 1045 votes

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