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Artificial Intelligence & Machine Learning: Level-2

Learn the Python Fundamentals and Pandas Library for Data Science Projects

  • 2500
  • 20000
  • Course Includes
  • 4 Hour Video Class
  • Free Certificate of Completion
  • 1 Year Access
  • Downloadable Resources

Enrol and get access to the full course.

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

Requirements

  • It is recommended to start with "Artificial Intelligence & Machine Learning - 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!

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.

Course Content

Click on the tabs to view all the contents
Welcome
preview 3min
Anaconda Installation
5min
JupyterLab Overview
4min
Working with a Jupyter Notebook
15min
Overview
3min
Variables and Data Types
8min
Strings
8min
Lists
10min
IF and For-Loop Statements
8min
Functions
8min
Dictionaries
12min
Classes, Objects, Attributes, and Methods
8min
Importing Modules
8min
Libraries for Data Science Projects
8min
Exercise #1 - Python Fundamentals
1min