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Free Course Download100% Free Direct MP4 LinksUdemyAI, Machine Learning & Data Science2024-11 Edition

Download 2025 Machine Learning & Data Science for Beginners in Python Course for Free

Download the complete 2025 Machine Learning & Data Science for Beginners in Python video course for free with high-definition MP4 video lectures, project exercise archives, and step-by-step masterclasses. Learn offline at your own pace with zero paywalls or recurring subscriptions.

275Lectures
93.3Total Hours
12304.7MB Total Size
MP4 / 1080p HD
Instructor: Senior Industry Specialist
English
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Install Anaconda in Linux

MP4 HD11m23.58 MB
Stream

Install Anaconda and Python on Windows

MP4 HD25m54.45 MB
Stream

Course Introduction

MP4 HD4m9.19 MB
Stream

Machine Learning Introduction

MP4 HD15m31.98 MB
Stream

Jupyter Notebook Introduction and Keyboard Shortcuts

MP4 HD47m102.94 MB
Stream

Boolean Variables and Evaluation

MP4 HD7m15.43 MB
Stream

Set

MP4 HD13m29.47 MB
Stream

Variable Casting

MP4 HD10m21.86 MB
Stream

String Formatting and Modification

MP4 HD14m29.84 MB
Stream

List in Python

MP4 HD17m37.54 MB
Stream

For Loops

MP4 HD15m32.89 MB
Stream

While Loops

MP4 HD11m23.25 MB
Stream

Data Types in Python

MP4 HD13m28.27 MB
Stream

Tuple in Python

MP4 HD13m27.74 MB
Stream

String Slicing in Python

MP4 HD11m23.54 MB
Stream

Arithmatic Operations in Python

MP4 HD19m40.76 MB
Stream

Dictionary

MP4 HD14m31.28 MB
Stream

Strings Operation in Python

MP4 HD18m39.04 MB
Stream

Conditional Statements - If Else

MP4 HD17m38.27 MB
Stream

Functions

MP4 HD20m43.03 MB
Stream

Working with Date and Time

MP4 HD28m61.33 MB
Stream

File Handling Read and Write

MP4 HD30m65.61 MB
Stream

np.nan and np.inf

MP4 HD11m24.89 MB
Stream

Shape(), Reshape(), Ravel(), Flatten()

MP4 HD9m20.53 MB
Stream

Statistical Operations

MP4 HD9m18.84 MB
Stream

Where

MP4 HD13m28.54 MB
Stream

Numpy Introduction - Create Numpy Array

MP4 HD16m35.90 MB
Stream

Array Indexing and Slicing

MP4 HD22m48.72 MB
Stream

Concatenation and Sorting

MP4 HD17m36.47 MB
Stream

arange(), linspace(), range(), random(), zeros(), and ones()

MP4 HD25m55.01 MB
Stream

Numpy Data Types

MP4 HD24m52.86 MB
Stream

Numpy Array Read and Write

MP4 HD23m50.46 MB
Stream

Pandas Series Introduction Part 1

MP4 HD15m33.66 MB
Stream

Arithmetic Operations

MP4 HD10m22.96 MB
Stream

Pandas Series Read From File

MP4 HD14m30.77 MB
Stream

Pandas Series Introduction Part 2

MP4 HD10m22.38 MB
Stream

Pandas DataFrame Creation from Scratch

MP4 HD14m31.23 MB
Stream

apply() for Pandas Series

MP4 HD15m33.21 MB
Stream

Merging, Joining, and Concatenation Part 1

MP4 HD7m16.45 MB
Stream

Columns Manipulation Part 1

MP4 HD21m45.44 MB
Stream

Apply Pythons Built in Functions to Series

MP4 HD22m48.34 MB
Stream

Rename, Delete Index and Columns

MP4 HD14m31.11 MB
Stream

Columns Manipulation Part 2

MP4 HD22m47.52 MB
Stream

NULL Values Handling

MP4 HD19m42.24 MB
Stream

Replace Cell Values

MP4 HD16m35.78 MB
Stream

Concatenation

MP4 HD13m28.93 MB
Stream

Read Stock Data from YAHOO Finance

MP4 HD13m28.41 MB
Stream

Retrive Rows by Index Label

MP4 HD21m46.05 MB
Stream

Read Files as DataFrame

MP4 HD26m56.15 MB
Stream

Handling Unique and Duplicated Values

MP4 HD23m51.21 MB
Stream

DataFrame Data Filtering Part 2

MP4 HD21m47.11 MB
Stream

DataFrame Data Filtering Part 1

MP4 HD29m63.80 MB
Stream

Lambda Apply

MP4 HD28m60.55 MB
Stream

Working with Datetime

MP4 HD26m57.38 MB
Stream

Groupby Multiple Columns

MP4 HD25m55.80 MB
Stream

Merge and Join

MP4 HD30m66.77 MB
Stream

Pandas Groupby

MP4 HD31m67.19 MB
Stream

IMDB Movie Revenue Line Plot Part 2

MP4 HD11m23.14 MB
Stream

IMDB Movie Revenue Line Plot Part 1

MP4 HD13m29.57 MB
Stream

Line Plot Rank vs Runtime Votes Metascore

MP4 HD11m23.39 MB
Stream

Matplotlib Introduction

MP4 HD15m31.99 MB
Stream

Line Styling and Putting Labels

MP4 HD19m40.98 MB
Stream

Matplotlib Line Plot Part 1

MP4 HD24m51.84 MB
Stream

Scatter, Bar, and Histogram Plot Part 1

MP4 HD24m53.31 MB
Stream

xlim and ylim, legend, grid, xticks, yticks

MP4 HD19m42.70 MB
Stream

Subplot Part 1

MP4 HD27m58.66 MB
Stream

Creating a Zoomed Sub-Figure of a Figure

MP4 HD27m59.32 MB
Stream

Scatter, Bar, and Histogram Plot Part 2

MP4 HD30m66.37 MB
Stream

Pie Chart and Figure Save

MP4 HD26m58.17 MB
Stream

Subplot Part 2

MP4 HD32m70.94 MB
Stream

Subplots

MP4 HD30m65.68 MB
Stream
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What You'll Master in this Free Download Course

Basic machine learning concepts and techniques, including supervised and unsupervised learning
Techniques for building and evaluating machine learning models
Different types of model evaluation criteria, such as accuracy, precision, and recall, and how to interpret them
Understand the trade-offs between different machine learning algorithms and their advantages and disadvantages
Understand best practices for developing, implementing, and interpreting machine learning models
Ability to analyze, interpret and present the results of machine learning models
and….

About this Free Download Course

2025 Machine Learning & Data Science for Beginners in Python is a machine learning and data science training course published by Udemy Online Academy. 2025 Machine Learning & Data Science for Beginners in Python is the ultimate beginner’s course designed to introduce people to the exciting fields of machine learning and data science. This course provides a hands-on introduction to the core concepts, tools, and techniques used in Python to analyze data and build predictive models. The course emphasizes practical implementation, covering topics such as data preprocessing, exploratory data analysis, supervised and unsupervised learning, and essential Python libraries such as NumPy, pandas, and scikit-learn.The key points of this course include understanding the principles of machine learning and data science, learning preprocessing and data analysis techniques, using Python libraries such as NumPy, pandas, and scikit-learn, implementing supervised and unsupervised learning models. , and work on hands-on projects with global datasets to build practical expertise. Learners will work on real-world datasets and projects and gain skills to solve real-life problems with machine learning and data-driven methods. Ideal for beginners, this course lays a solid foundation for advanced study or professional application in data science and artificial intelligence.

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Are project materials, exercise files, and source code included?+

Yes! If this course includes downloadable source code, exercise assets, or templates, they are available in the "Course Exercise Files & Project Archives" section as standard ZIP files for free download.

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Free Download Summary

Price:100% Free
Total Lectures:275 videos
Total Duration:93.3 hours
Video Format:MP4 (1080p HD)
Registration:None (Instant Access)
Offline Playback:Supported
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Instructor

S

Senior Industry Specialist

Specialist in AI, Machine Learning & Data Science. Real-world engineering curriculum and hands-on masterclasses.

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