Python for Data Science and Machine Learning Bootcamp

Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more!

4.62 (151047 reviews)

Udemy

platform

English

language

Data Science

What you will learn

Use Python for Data Science and Machine Learning

Use Spark for Big Data Analysis

Implement Machine Learning Algorithms

Learn to use NumPy for Numerical Data

Learn to use Pandas for Data Analysis

Learn to use Matplotlib for Python Plotting

Learn to use Seaborn for statistical plots

Use Plotly for interactive dynamic visualizations

Use SciKit-Learn for Machine Learning Tasks

K-Means Clustering

Logistic Regression

Linear Regression

Random Forest and Decision Trees

Natural Language Processing and Spam Filters

Neural Networks

Support Vector Machines

Course Gallery

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Charts

Students

Price

Rating & Reviews

Enrollment Distribution

Comidoc Review

Our Verdict

Python for Data Science and Machine Learning Bootcamp offers an extensive overview of various Python libraries, enabling learners to gain hands-on experience in data science. While some minor issues exist with the exercise solution notebooks and library version changes, this course is still valuable due to its clear explanations, real-life examples, and updated course materials.

What We Liked

In-depth coverage of various Python libraries for data science
Clear explanations and real-life examples provided by the instructor
Hands-on exercises to practice concepts taught in each section
Updated course materials, including recent changes in software

Potential Drawbacks

Some exercise solution notebooks contain errors or outdated code
Notebook updates are not regularly performed to reflect library version changes
Inadequate focus on deep learning section and Spark integration
Lack of in-depth discussions on certain topics, such as regularization