Data Science: Machine Learning and Deep Learning with Python
Learn Data Science with Data Parsing, Data Visualization, Data Processing, Supervised & Unsupervised Machine Learning
Bullstrack
Data Science: Machine Learning and Deep Learning with Python udemy course
Learn Data Science with Data Parsing, Data Visualization, Data Processing, Supervised & Unsupervised Machine Learning
What you'll learn:
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Learn how to solve real life problem using the Machine learning techniques
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Machine Learning models such as Linear Regression, Logistic Regression, KNN etc.
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Advanced Machine Learning models such as Decision trees, XGBoost, Random Forest, SVM etc.
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Understanding of basics of statistics and concepts of Machine Learning
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How to do basic statistical operations and run ML models in Python
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Indepth knowledge of data collection and data preprocessing for Machine Learning problem
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How to convert business problem into a Machine learning problem
Requirements:
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Students will need to install Anaconda software but we have a separate lecture to guide you install the same
Description:
This course focuses on the fundamentals of Data Science, Machine learning, and deep learning in the beginning and with the passage of time, the content and lectures become advanced and more practical. But before everything, the introduction of python is discussed. Python is one of the fastest-growing programming languages and if we specifically look from the perspective of Data Science, Machine learning and deep learning, there is no other choice then “python” as a programming language.
First of all, there is a crash course on python for those who are not very good with python and then there is an exercise for python that is supposed to be solved by you but if you feel any difficulty in solving the exercise, the solution is also provided.
Then we moved on towards the Data Science and we start from data parsing using Scrapy then the data visualizations by using several libraries of python and finally we end up learning different data preprocessing techniques. And in the end, there is a complete project that we’ll do together.
After that, we’ll be learning a few classical and a few advanced machine learning algorithms. Some of them will be implemented from scratch and the others will be implemented by using the builtin libraries of python. At the end of every algorithm, there will be a mini-project.
Finally, Deep learning will be discussed, the basic structure of an artificial neural network and it’s the implementation in TensorFlow followed by a complete deep learning-based project. And in the end, some hyperparameter tuning techniques will be discussed that’ll improve the performance of the model.
About The Instructor:
Below is an introduction to Mr. Sajjad Mustafa, the instructor of this course.
He an expert in Web Programming, Data Science, and Machine Learning. He has been working on different topics including the above-mentioned ones for almost 3 years and has been teaching on these projects for more than a year. He has attained mastery over understanding the requirements and making a way to the most unique and proper solutions to the given task.
He is well acquainted with and has deep knowledge of Python, Ruby, JavaScript. Django, ReactJS, React Native, JQuery, HTML, CSS, Bootstrap, C, C++, SQL (MySQL, mySQLite) are also my passion and interest.
He is passionate about new technologies and likes to have a good professional connection. Let's meet with him on the course.
Who this course is for:
- Those who are interested in Artificial Intelligence
- Those who have basic level of understanding of english
- Those who have basic knowledge of any programming language
- Those who have basic knowledge of OOP
- hose who wants to write programs for predictions
- Those who are interested in making automated computer programs
- Those who wants to unlock the future of IT that is AI
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Course Details:
- 14.5 hours on-demand video
- 12 downloadable resources
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
Data Science: Machine Learning and Deep Learning with Python udemy free download
Learn Data Science with Data Parsing, Data Visualization, Data Processing, Supervised & Unsupervised Machine Learning
Demo Link: https://www.udemy.com/course/data-science-machine-learning-and-deep-learning-with-python/
