Python for Machine Learning and Data Science Bootcamp
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Become a professional Python Developer and get hired -
Master modern Python 3 fundamentals as well as advanced topics -
Learn Object Oriented Programming -
Learn Machine Learning with Python -
Learn Supervised and Unsupervised Learning -
Create data visualizations using matplotlib and the seaborn modules -
Use the pandas module with Python to create and structure data. -
Use the numpy library to create and manipulate arrays. -
Build an army of powerful Machine Learning models and know how to combine them to solve any problem -
Explore large datasets using data visualization tools like Matplotlib and Seaborn -
Implement Machine Learning algorithms -
Make powerful analysis -
Learn to use the popular library Scikit-learn in your projects -
How to improve your Machine Learning Models -
Learn to perform Classification and Regression modelling -
Use Plotly and cufflinks for interactive dynamic visualizations -
Learn Linear Regression, Logistic Regression, k-nearest neighbors algorithm(KNN), Support Vector Machines, Decision Tree Classifier… -
Learn Random Forest Classifier, K-Mean Clustering, Principal Component Analysis (PCA), Ensemble Learning, Learning Curve…
- Have a computer (either Mac, Windows, or Linux)
- No prior knowledge of Python is required.
- No previous programming experience is needed.
Interested in the field of Machine Learning ? Then this course is for you !
This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.
We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.
This course is fun and exciting, but at the same time we dive deep into Machine Learning. It is structured the following way:
01 – Python basic
02 – Object-Oriented Programming
03 – Numpy
04 – Matplotlib
05 – Pandas
06 – Data Visualization – Plotly and Cufflinks
07 – Data Visualization in Pandas
08 – Seaborn
09 – In troduction to Machine Learning
10 – Linear Regression
11 – Logistic Regression Titanic Dataset
12 – KNN algorithm
13 – SVM
14 – Decision Tree Classifier and Regressor
15 – Random Forest Classifier and Regressor
16 – K-Mean Clustering
17 – Principal Component Analysis (PCA)
18 – Ensemble Learning
19 – Learning Curve
20 – Python Interview Questions
Moreover, the course is packed with practical exercises which are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models.
And as a bonus, this course includes Python code templates which you can download and use on your own projects.
- Anyone who wants to master Python 3
- Anyone looking to level up their skills and master a new programming language
- Anyone who wants to get into: Machine Learning, Data Science and other hot job markets
- hose who know Python basics and want to master Python
- Any people who want to create added value to their business by using powerful Machine Learning tools.
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