Machine Learning for Absolute Beginners - Level 2
- Offered byUDEMY
Machine Learning for Absolute Beginners - Level 2 at UDEMY Overview
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
Machine Learning for Absolute Beginners - Level 2 at UDEMY Course details
- 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
- 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!
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!
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