Learn Python, Tensorflow, Deep Learning, Regression, Classification, Neural Networks, Artificial Intelligence & more!
Welcome to Bootcamp, the only course you need to study Python and excel in knowledge technology.
This Python tutorial is, beyond hesitation, at more than 40 hours the most detailed on-line tutorial in data science and machine learning. This course will even take you from novice to master, particularly though you have no programming experience.
We will tell you everything you need to learn in order to excel as a data scientist and computer practitioner move by Schritt via video tutorials.
The course provides over 35 hours of HD video lessons and develops the awareness of technology to solve practical 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
- Serving a Tensorflow Model
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
Don’t only take my word and know what the students really had to suggest for my classes: “Some of the greatest lessons I taught. Everything is clearly defined, definitions are not glossed over. The obstacles that tend to improve communication are enhanced. I’m about there, so I know that’s some of the greatest time I’ve ever invested.
