Udemy – Mastering Artificial Intelligence (AI) with Python and R 2024-6

Udemy – Mastering Artificial Intelligence (AI) with Python and R 2024-6 Downloadly IRSpace

Apr 18, 2025 - 20:01 Updated: Apr 22, 2025 - 14:35

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Udemy – Mastering Artificial Intelligence (AI) with Python and R 2024-6

Mastering Artificial Intelligence (AI) with Python and R is a comprehensive program that guides participants from basic concepts to advanced techniques in the fields of artificial intelligence and machine learning. The course is designed with an emphasis on practical applications in data science and machine learning. At the beginning of the course, participants are introduced to how to set up a development environment using Anaconda Navigator and essential Python libraries. Then, the basic topics of Python programming are taught along with working with the NumPy library for numerical calculations, including array functions, indexing, and data selection. It then examines the importance and use of the Matplotlib and Seaborn libraries for data visualization, which play a vital role in interpreting and presenting data effectively. At the intermediate level, the course explores Python’s role in machine learning and covers topics such as data preprocessing, the concept of bias versus variance, and model evaluation techniques. Participants will be introduced to the powerful Scikit-learn library for performing machine learning tasks, including loading and visualizing data, as well as applying dimensionality reduction methods such as principal component analysis (PCA). Additionally, widely used classification algorithms such as K-Nearest Neighbor (KNN) and Support Vector Machines (SVM) will be taught in detail, and participants will be enhanced in their ability to build and evaluate machine learning models.

The advanced part of the course focuses on predictive analytics using AI techniques in Python. Ensemble methods such as Random Forest and AdaBoost, how to deal with class imbalance, and hyperparameter tuning using network search are discussed. Participants apply these techniques to real-world scenarios, such as traffic forecasting using regression models. Unsupervised learning methods such as clustering (such as K-Means and Affinity Propagation) are also taught to discover patterns in unlabeled data. The section concludes with examples of classification tasks using algorithms such as logistic regression, Naive Bayes, and support vector machines (SVM).

What you will learn:

Proficiency in Python and R programming for artificial intelligence and machine learning applications.
Efficient data management and manipulation using libraries like NumPy and pandas.
Create insightful visualizations with Matplotlib and Seaborn.
Implement machine learning algorithms for classification, regression, clustering, and more.
Familiarity with advanced techniques such as neural networks, natural language processing, and predictive analytics.
Applying skills to solve practical problems such as predictive analysis and market portfolio analysis.
Gain skills in using tools such as Anaconda, Jupyter Notebook, and RStudio for integrated development.

This course is suitable for people who:

Beginners in programming who want to learn artificial intelligence and machine learning from the ground up.
Students and professionals seeking careers or education in data science, artificial intelligence, or related fields.
Enthusiasts who are curious about the applications and concepts of artificial intelligence and machine learning and are looking to build basic knowledge.
Programmers who are looking to make a career change into AI and machine learning roles and need to solidify their understanding and skills.
Anyone interested in understanding the fundamentals and practical applications of artificial intelligence and machine learning using Python and R.

Course details: Mastering Artificial Intelligence (AI) with Python and R

Publisher: Udemy
Instructor: EDUCBA Bridging the Gap
Training level: Beginner to advanced
Training duration: 49 hours and 6 minutes

Course syllabus in 2024/7

Prerequisites for the Mastering Artificial Intelligence (AI) with Python and R course

Basic understanding of programming concepts.
Familiarity with Python and/or R programming languages is beneficial but not mandatory.
Comfortable navigating and using a computer with internet access.
Eagerness to learn and explore concepts in artificial intelligence and machine learning.