Descriptions
Complete Python Data Science, Deep Learning, R Programming, Master the essential tools and techniques of data science using both Python and R in this comprehensive bootcamp. Designed to give you a full-stack understanding of data analytics, machine learning, and statistical modeling, this course covers two of the most popular programming languages in the industry. You will start by learning R for statistical analysis and data manipulation, mastering data structures, tidyverse, and data handling techniques to process large datasets and extract meaningful insights.
Moving into Python, you will cover core programming fundamentals and Object-Oriented Programming (OOP) before diving into essential data science libraries including NumPy, Pandas, Matplotlib, Seaborn, and Geoplotlib. You will explore machine learning algorithms, deep learning architectures, neural networks, and computer vision concepts through hands-on projects, exercises, and real-world datasets. By the end of this course, you will have the practical skills needed to analyze data, build predictive models, and create compelling data visualizations across multiple platforms.
What you’ll learn
- Python, Python Data science, Machine learning, Deep Learning, R, Numpy, Pandas, Matplotlib
- Python instructors on Udemy specialize in everything from software development to data analysis, and are known for their effective, friendly instruction
- Fundamental stuff of Python and its library Numpy
- What is the AI, Machine Learning and Deep Learning
- History of Machine Learning
- Turing Machine and Turing Test
- The Logic of Machine Learning such as Machine Learning models and algorithms, Gathering data, Data pre-processing, Training and testing the model etc.
- What is Artificial Neural Network (ANN)
- Anatomy of NN
- Tensor Operations
- Machine learning is constantly being applied to new industries and new problems. Whether you’re a marketer, video game designer, or programmer, I am here to help
- Machine learning isn’t just useful for predictive texting or smartphone voice recognition.
- The Engine of NN
- Keras
- Tensorflow
- Convolutional Neural Network
- Recurrent Neural Network and LTSM
- Transfer Learning
- Machine Learning
- Deep Learning
- Machine Learning with Python
- Python Programming
- Deep Learning with Python
- If you have some programming experience, Python might be the language for you
- Learn Fundamentals of Python for effectively using Data Science
Who this course is for
- Anyone interested in data sciences
- Anyone who plans a career in data scientist,
- Software developer whom want to learn data science,
- Anyone eager to learn Data Science with no coding background
- Statisticians, academic researchers, economists, analysts and business people
- Professionals working in analytics or related fields
- Anyone who is particularly interested in big data, machine learning and data intelligence
- People wwho want to learn python data science, deep learning, R programming, machine learning
Specificatoin of Complete Python Data Science, Deep Learning, R Programming
- Publisher : Udemy
- Teacher : Oak Academy , OAK Academy Team
- Language : English
- Level : All Levels
- Duration : 23 hours and 21 minutes
Content of Complete Python Data Science, Deep Learning, R Programming
Requirements
- No prior knowledge is required
- Free software and tools used during the course
- Basic computer knowledge
- Desire to learn data science
- Desire to learn python data science
- Desire to learn data science with machine learning, deep learning
- Desire to learn data visualization, data analytics
- Dsire to learn r programming, data visualization, r programming
- Nothing else! Its just you, your computer and your ambition to get started today
Pictures
Sample Clip
Installation Guide
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Download Links
Password file(s): www.downloadly.ir
File size
6.11 GB