The Complete Machine Learning 2023 : 10 Real World Projects
Complete Beginner to Expert Guide-Data Visualization,EDA,Numpy,Pandas,Math,Statistics,Matplotlib,Seaborn,Scikit,NLP-NLTK
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The Complete Machine Learning 2023 : 10 Real World Projects udemy course
Complete Beginner to Expert Guide-Data Visualization,EDA,Numpy,Pandas,Math,Statistics,Matplotlib,Seaborn,Scikit,NLP-NLTK
What you'll learn:
- Become a Data Scientist and get hired
- Master Machine Learning and use it on the job
- Deep Learning, Transfer Learning and Neural Networks using the latest Tensorflow 2.0
- Use modern tools that big tech companies like Google, Apple, Amazon and Facebook use
- Present Data Science projects to management and stakeholders
- Learn which Machine Learning model to choose for each type of problem
- Real life case studies and projects to understand how things are done in the real world
- Learn best practices when it comes to Data Science Workflow
- Implement Machine Learning algorithms
- Learn how to program in Python using the latest Python 3
- How to improve your Machine Learning Models
- Learn to pre process data, clean data, and analyze large data.
- Build a portfolio of work to have on your resume
- Developer Environment setup for Data Science and Machine Learning
- Supervised and Unsupervised Learning
- Machine Learning on Time Series data
- Explore large datasets using data visualization tools like Matplotlib and Seaborn
- Explore large datasets and wrangle data using Pandas
- Learn NumPy and how it is used in Machine Learning
- A portfolio of Data Science and Machine Learning projects to apply for jobs in the industry with all code and notebooks provided
- Learn to use the popular library Scikit-learn in your projects
- Learn about Data Engineering and how tools like Hadoop, Spark and Kafka are used in the industry
- Learn to perform Classification and Regression modelling
- Learn how to apply Transfer Learning
Requirements:
- No prior experience is needed (not even Math and Statistics). We start from the very basics.
- A computer (Linux/Windows/Mac) with internet connection.
- Two paths for those that know programming and those that don’t.
- All tools used in this course are free for you to use.
Description:
Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world’s most interesting problems!
This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!
This course is made to give you all the required knowledge at the beginning of your journey, so that you don’t have to go back and look at the topics again at any other place. This course is the ultimate destination with all the knowledge, tips and trick you would require to start your career.
It gives detailed guide on the Data science process involved and Machine Learning algorithms. All the algorithms are covered in detail so that the learner gains good understanding of the concepts. Although Machine Learning involves use of pre-developed algorithms one needs to have a clear understanding of what goes behind the scene to actually convert a good model to a great model.
Our exotic journey will include the concepts of:
Comparison between Artificial intelligence, Machine Learning, Deep Learning and Neural Network.
What is data science and its need.
The need for machine Learning and introduction to NLP (Natural Language Processing).
The different types of Machine Learning – Supervised and Unsupervised Learning.
Hands-on learning of Python from beginner level so that even a non-programmer can begin the journey of Data science with ease.
All the important libraries you would need to work on Machine learning lifecycle.
Full-fledged course on Statistics so that you don’t have to take another course for statistics, we cover it all.
Data cleaning and exploratory Data analysis with all the real life tips and tricks to give you an edge from someone who has just the introductory knowledge which is usually not provided in a beginner course.
All the mathematics behind the complex Machine learning algorithms provided in a simple language to make it easy to understand and work on in future.
Hands-on practice on more than 20 different Datasets to give you a quick start and learning advantage of working on different datasets and problems.
More that 20 assignments and assessments allow you to evaluate and improve yourself on the go.
Total 10 beginner to Advance level projects so that you can test your skills.
Who this course is for:
Course Details:
- 37.5 hours on-demand video
- 4 articles
- 33 downloadable resources
- Access on mobile and TV
- Certificate of completion
The Complete Machine Learning 2023 : 10 Real World Projects udemy free download
Complete Beginner to Expert Guide-Data Visualization,EDA,Numpy,Pandas,Math,Statistics,Matplotlib,Seaborn,Scikit,NLP-NLTK
Demo Link: https://www.udemy.com/course/complete-machine-learning-2021-with-10-real-world-projects/
