Data Science with Python and Machine Learning For Beginners

Learn how to use Python,Pandas,NumPy,Matplotlib,Seaborn, Data Wrangling,Learnbuild models, train and deploy models.
4.67 (3 reviews)
Udemy
platform
English
language
Data Science
category
Tech Academy
instructor
Data Science with Python and Machine Learning For Beginners
10
students
9 hours
content
Jun 2024
last update
$13.99
regular price

What you will learn

Understand the fundamental concepts of data science.

Recognize the applications and industry impact of data science.

Gain proficiency in Python and R programming languages for data analysis.

Utilize essential data science libraries such as Pandas, NumPy, Matplotlib, and Seaborn.

Install Python and set up a development environment on Windows and macOS.

Understand the concept of virtual environments and create/manage them.

Familiarize with Jupyter Notebook and use it for interactive data analysis.

Explore and manipulate data using Pandas DataFrames.

Create and manipulate Pandas Series for efficient data handling.

Load datasets into Pandas and perform initial data inspection and cleaning.

Transform and analyze data using Pandas methods.

Visualize data using Matplotlib and Seaborn for insights and reporting.

Define machine learning and its application in data science.

Understand supervised, unsupervised, and reinforcement learning techniques.

Preprocess data for machine learning models, including handling missing values and encoding categorical variables.

Build, train, and evaluate machine learning models using scikit-learn.

Measure model performance using metrics like accuracy, confusion matrix, and classification report.

Deploy a machine learning model for real-time predictions and understand model interpretability techniques.

Course Gallery

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6041314
udemy ID
25/06/2024
course created date
17/07/2024
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