Guide To AI & ML Developer Tools
Guide To AI & ML Developer Tools, available at $29.99, has an average rating of 3.75, with 36 lectures, based on 2 reviews, and has 73 subscribers.
You will learn about Introduction to Machine Learning Pandas Scipy Data Visualization using Matplotlib Tensorflow Keras This course is ideal for individuals who are Those who want to understand the use of Python libraries like Pandas,Scipy etc or Those who want to get started with Tensorflow and Keras It is particularly useful for Those who want to understand the use of Python libraries like Pandas,Scipy etc or Those who want to get started with Tensorflow and Keras.
Enroll now: Guide To AI & ML Developer Tools
Summary
Title: Guide To AI & ML Developer Tools
Price: $29.99
Average Rating: 3.75
Number of Lectures: 36
Number of Published Lectures: 36
Number of Curriculum Items: 36
Number of Published Curriculum Objects: 36
Original Price: $39.99
Quality Status: approved
Status: Live
What You Will Learn
- Introduction to Machine Learning
- Pandas
- Scipy
- Data Visualization using Matplotlib
- Tensorflow
- Keras
Who Should Attend
- Those who want to understand the use of Python libraries like Pandas,Scipy etc
- Those who want to get started with Tensorflow and Keras
Target Audiences
- Those who want to understand the use of Python libraries like Pandas,Scipy etc
- Those who want to get started with Tensorflow and Keras
With self-driving cars, smart robots, to even your coffee machines, AI has become a prominent technology that cannot be overlooked. The integration of Artificial Intelligence is growing and businesses from multiple sectors are now looking to build technologies including AI to empower their strategies. This has increased the demands of AI & ML skilled experts. Considering this, we have curated this course that revolve around all the essential tools that are required by developers to build real-world AI & ML models.
Why you should take this course?
With machine learning as the future of technology, getting your hands on this type of development is crucial. However, it isn’t easy. This is why we have designed this course that covers a variety of different machine learning tools used by developer around the world. It includes in-depth information on libraries like Pandas, Matplotlib, Scipy and so much more.
This course includes :
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How to get started with Anacondas and Jupyter
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Brief introduction to Tensorflow and Keras
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Data Exploration
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Decision making algorithms
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Clustering Techniques
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Neural Networks
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Practical projects and much more!
So, what are you waiting for? Enroll now into this course and we’ll see you on the other side!
Course Curriculum
Chapter 1: Anaconda and Jupyter
Lecture 1: Introduction
Lecture 2: Strategies for Learning Packages
Lecture 3: Useful Features with Jupyter and Anaconda
Chapter 2: Pandas
Lecture 1: Loading and Describing Data
Lecture 2: Dataframe Indexing
Lecture 3: Exploring Real Data
Lecture 4: Other Important Logic
Lecture 5: Problem
Lecture 6: Answer
Chapter 3: Matplotlib
Lecture 1: Introduction to matplotlib
Lecture 2: Bar and Line Plots
Lecture 3: Box Plots and Subplotting
Lecture 4: Plotting with Real Data
Lecture 5: Problem
Lecture 6: Answer
Chapter 4: Sklearn
Lecture 1: Introduction to Machine Learning
Lecture 2: Machine Learning Workflow
Lecture 3: Cross-validation and Scoring
Lecture 4: SVM and Visualizing Boundaries
Lecture 5: Random Forest and Decision Trees
Lecture 6: KNN and K-Means Clustering
Lecture 7: GMMs and Visualizing Clusters
Lecture 8: Problem
Lecture 9: Answer
Chapter 5: Scipy
Lecture 1: Introduction to scipy Features
Lecture 2: Audio Signals and Spectrograms
Lecture 3: Image Processing and Fourier Transforms
Lecture 4: Problem
Lecture 5: Answer
Chapter 6: TensorflowKeras
Lecture 1: Introduction to Neural Networks
Lecture 2: Introduction to Tensorflow and Keras
Lecture 3: Building a Simple Neural Network in Keras
Lecture 4: Problem
Lecture 5: Answer
Chapter 7: Project
Lecture 1: Problem Statement
Lecture 2: Solution
Instructors
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Eduonix Learning Solutions
1+ Million Students Worldwide | 200+ Courses
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 1 votes
- 4 stars: 1 votes
- 5 stars: 0 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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