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)
10
students
9 hours
content
Jun 2024
last update
$39.99
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.
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udemy ID
6/25/2024
course created date
7/17/2024
course indexed date
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