Complete Data Science & Machine Learning Bootcamp – Python 3
Description Complete Data Science & Machine Learning Bootcamp – Python 3 Free Download
Welcome to the Complete Data Science and Machine Learning Bootcamp, the only course you need to learn Python and get into data science.
At over 35+ hours, this Python course is without a doubt the most comprehensive data science and machine learning course available online. Even if you have zero programming experience, this course will take you from beginner to mastery. Here’s why:
- The course is a taught by the lead instructor at the App Brewery, London’s leading in-person programming bootcamp.
- In the course, you’ll be learning the latest tools and technologies that are used by data scientists at Google, Amazon, or Netflix.
- This course doesn’t cut any corners, there are beautiful animated explanation videos and real-world projects to build.
- The curriculum was developed over a period of three years together with industry professionals, researchers and student testing and feedback.
- To date, we’ve taught over 200,000 students how to code and many have gone on to change their lives by getting jobs in the industry or starting their own tech startup.
- You’ll save yourself over $12,000 by enrolling, but get access to the same teaching materials and learn from the same instructor and curriculum as our in-person programming bootcamp.
We’ll take you step-by-step through video tutorials and teach you everything you need to know to succeed as a data scientist and machine learning professional.
The course includes over 35 hours of HD video tutorials and builds your programming knowledge while solving real-world problems.
In the curriculum, we cover a large number of important data science and machine learning topics, such as:
- Data Cleaning and Pre-Processing
- Data Exploration and Visualisation
- Linear Regression
- Multivariable Regression
- Optimisation Algorithms and Gradient Descent
- Naive Bayes Classification
- Descriptive Statistics and Probability Theory
- Neural Networks and Deep Learning
- Model Evaluation and Analysis
Throughout the course, we cover all the tools used by data scientists and machine learning experts, including:
- Python 3
- Tensorflow
- Pandas
- Numpy
- Scikit Learn
- Keras
- Matplotlib
- Seaborn
- SciPy
- SymPy
By the end of this course, you will be fluently programming in Python and be ready to tackle any data science project. We’ll be covering all of these Python programming concepts:
- Data Types and Variables
- String Manipulation
- Functions
- Objects
- Lists, Tuples and Dictionaries
- Loops and Iterators
- Conditionals and Control Flow
- Generator Functions
- Context Managers and Name Scoping
- Error Handling
By working through real-world projects you get to understand the entire workflow of a data scientist which is incredibly valuable to a potential employer.
Screenshot Tutorials/Courses
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