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 :

How to get started with Anacondas and Jupyter
Brief introduction to Tensorflow and Keras
Data Exploration
Decision making algorithms
Clustering Techniques
Neural Networks
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

Eduonix Learning Solutions
1+ Million Students Worldwide | 200+ Courses

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3 stars: 1 votes
4 stars: 1 votes
5 stars: 0 votes

Frequently Asked Questions

How long do I have access to the course materials?

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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