Machine Learning for Absolute Beginners - Level 2
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
4 lectures • 25minGetting Started with Level 2!
- Preview02:19
- 04:22Anaconda Installation
- 03:51JupyterLab Overview
- 14:16Working with a Jupyter Notebook
11 lectures • 1hr 16minPython Fundamentals for Data Science
5 lectures • 36minIntroduction to the Pandas Library
11 lectures • 59minLoading Data into a DataFrame
9 lectures • 41minData Cleaning and Transformation
2 lectures • 3minCourse Summary
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
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](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.3 Instructor Rating
- 2,383 Reviews
- 96,611 Students
- 14 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.