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:
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Python syntax for developing data science projects
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Using JupyterLab tool for Jupiter notebooks
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Loading large datasets from files using Pandas
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Perform data analysis and exploration
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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: Let's Recap and Thank You!
Lecture 2: *** BONUS ***
Instructors
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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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