Complete Data Science & Machine Learning Bootcamp in Python
Learn Python,NumPy,Pandas,Matplotlib,Seaborn,Scikit-learn,Dask,LightGBM,XGBoost,CatBoost,Streamlit,Power BI & much more
Bullstrack
Complete Data Science & Machine Learning Bootcamp in Python udemy course
Learn Python,NumPy,Pandas,Matplotlib,Seaborn,Scikit-learn,Dask,LightGBM,XGBoost,CatBoost,Streamlit,Power BI & much more
What you'll learn:
- You will learn how to program using Python through practical projects
- Use data science algorithms to analyse data in real life projects such as spam classification and image recognition
- Build a portfolio of data science projects to apply for jobs in the industry
- Understand how to use the latest tools in data science, including Tensorflow, Matplotlib, Numpy and many more
- Create your own neural networks and understand how to use them to perform deep learning
- Understand and apply data visualisation techniques to explore large datasets
Requirements:
- No programming experience needed! I’ll teach you everything you need to know.
- No statistics knowledge required! I’ll teach you everything you need to know.
- No calculus knowledge required! as long as you’ve done some high school maths, I’ll take you step by step through the difficult parts.
- Also, no paid software required – all projects use free and open source software
- All you need is Mac or PC computer with access to the internet
Description:
Obtain skills in one of the most sort after fields of this century
In this course, you'll learn how to get started in data science. You don't need any prior knowledge in programming. We'll teach you the Python basics you need to get started. Here are some of the items we will cover in this course
The Data Science Process
Python for Data Science
NumPy for Numerical Computation
Pandas for Data Manipulation
Matplotlib for Visualization
Seaborn for Beautiful Visuals
Plotly for Interactive Visuals
Introduction to Machine Learning
Dask for Big Data
Power BI Desktop
Google Data Studio
Association Rule Mining - Apriori
Deep Learning
Apache Spark for Handling Big Data
For the machine learning section here are some items we'll cover :
How Algorithms Work
Advantages & Disadvantages of Various Algorithms
Feature Importances
Metrics
Cross-Validation
Fighting Overfitting
Hyperparameter Tuning
Handling Imbalanced Data
TensorFlow & Keras
Automated Machine Learning(AutoML)
Natural Language Processing
The course also contains exercises and solutions that will help you practice what you have learned.
By enrolling in this course, you'll have lifetime access to the videos and Notebooks. Purchasing the course also comes with a 30-day money-back guarantee, so you can try it at no risk at all.
Let's now add Data Science, Machine Learning, and Deep Learning to your CV. See you inside the course.
The course also contains exercises and solutions that will help you practice what you have learned.
By enrolling in this course, you'll have lifetime access to the videos and Notebooks. Purchasing the course also comes with a 30-day money-back guarantee, so you can try it at no risk at all.
Let's now add Data Science, Machine Learning, and Deep Learning to your CV. See you inside the course.
The course also contains exercises and solutions that will help you practice what you have learned.
By enrolling in this course, you'll have lifetime access to the videos and Notebooks. Purchasing the course also comes with a 30-day money-back guarantee, so you can try it at no risk at all.
Let's now add Data Science, Machine Learning, and Deep Learning to your CV. See you inside the course.
Who this course is for:
- People who would like to get started with data science and machine learning without any prior knowledge
- Persons who would like to refresh their data science and machine learning knowledge
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Course Details:
- 17.5 hours on-demand video
- 20 articles
- 42 downloadable resources
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
Complete Data Science & Machine Learning Bootcamp in Python udemy free download
Learn Python,NumPy,Pandas,Matplotlib,Seaborn,Scikit-learn,Dask,LightGBM,XGBoost,CatBoost,Streamlit,Power BI & much more
Demo Link: https://www.udemy.com/course/data-science-bootcamp-in-python/
