Data Science, Machine Learning and Deep Learning with Python (Udemy.com)

Learn Data Science with Data Parsing, Data Visualization, Data Processing and Supervised Machine Learning, Unsupervised

Created by: Teach Premium

Produced in 2021

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What you will learn

  • From beginner level to advanced level understanding of :
  • Data Science:(Online Data Parsing, Data visualization, Data Preprocessing, Preparing data for machine learning)
  • Machine Learning:(Supervised Machine Learning, Unsupervised Machine Learning, Implementation of algorithms form scratch, Built-in algorithms usages.)
  • amitDeep Learning:(Tensorflow, Hyperparameter tunings)
  • Working with some data sets which are benchmarks in industry like : Titanic, Seeds, Rock and Mine

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Quality Score

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Overall Score : 80 / 100

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Course 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 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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Instructor Details

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Hi!
We are Teach Premium, an innovative educational company focused on all the new technologies.
Our main goal is to offer you top quality training (both practical and theoretical) contents through a simple and clear language, accessible to everyone, from the beginners to the most advanced IT experts.
Teach Premium is a trustworthy platform to offer courses on different topics in Udemy. Many students from different parts of the world have enrolled in this complementary company to learn about different courses and enrich their knowledge. Many of them have succeeded and have been appointed as a data scientist, a big data engineer, a full-stack software engineer, a financial analyst, a financial manager, an FP&A analyst, an entrepreneur, a business intelligence analyst. Some of them are now in association with world-class firms like Paypal, Citibank, and Apple.
At present, courses that we are offering on Udemy include:
1. Data Science: Statistics, Probability, Python, Machine Learning, Tableau, Credit Risk Modeling.
2. Finance: Financial Planning and analysis, Valuation, Accounting, Capital Budgeting, Investment Banking, CFA, CPA, ACCA.
3. Entrepreneurship: Management and HR Management, Marketing, Decision Making, Business Strategy, Marketing, Negotiation, and Persuasion.
Upon enrolling in this company, you will come across experts who are passionate about teaching and are able to improve the knowledge of your interest. Learning and experience will

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Reviews

4.0

3 total reviews

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By Arindam Roy

The Course is really gives a great insight about Data Science- Machine Learning- Deep Learning in Python.

As a beginner, I could say, the instructor description each and every aspect with clarity and enough explanation and practical examples.

I could not complete the course yet. Once I complete it, I'll share more feedback on it!

Overall, a good course!

Value for the money!

By Seth Hooker

This is an excellent introduction to machine learning and deep learning if you already have some coding skills.

Very easy to learn the concepts as we worked through them.

Some of the data files are missing but they can be found easily on the net (github and other sources).

I did this course for free and felt like I got a lot out of it!

By Amarak

in section 10 no files for tasks :( it's a shame because it was a good course