Guide To AI & ML Developer Tools
3.5 (1 rating)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
60 students enrolled

Guide To AI & ML Developer Tools

A complete guide to master the most important tools used in machine learning by developers around the globe
3.5 (1 rating)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
60 students enrolled
Last updated 1/2020
English
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Current price: $31.99 Original price: $49.99 Discount: 36% off
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This course includes
  • 7.5 hours on-demand video
  • 6 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Introduction to Machine Learning
  • Pandas
  • Scipy
  • Data Visualization using Matplotlib
  • Tensorflow
  • Keras
Course content
Expand all 36 lectures 07:26:58
+ Pandas
6 lectures 01:17:02
Loading and Describing Data
20:38
Dataframe Indexing
14:37
Exploring Real Data
16:44
Other Important Logic
13:45
Problem
02:34
Answer
08:44
+ Matplotlib
6 lectures 57:42
Introduction to matplotlib
16:37
Bar and Line Plots
12:20
Box Plots and Subplotting
11:45
Plotting with Real Data
09:32
Problem
02:23
Answer
05:05
+ Sklearn
9 lectures 02:20:16
Introduction to Machine Learning
20:45
Machine Learning Workflow
15:43
Cross-validation and Scoring
14:57
SVM and Visualizing Boundaries
18:29
Random Forest and Decision Trees
15:43
KNN and K-Means Clustering
21:11
GMMs and Visualizing Clusters
16:31
Problem
03:22
Answer
13:35
+ Scipy
5 lectures 52:44
Introduction to scipy Features
19:40
Audio Signals and Spectrograms
11:01
Image Processing and Fourier Transforms
12:46
Problem
03:33
Answer
05:44
+ TensorflowKeras
5 lectures 52:38
Introduction to Neural Networks
13:35
Introduction to Tensorflow and Keras
13:13
Building a Simple Neural Network in Keras
14:47
Problem
04:57
Answer
06:06
+ Project
2 lectures 13:32
Problem Statement
07:39
Solution
05:53
Requirements
  • Basic knowledge of Python
Description

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!

Who this course is for:
  • Those who want to understand the use of Python libraries like Pandas,Scipy etc
  • Those who want to get started with Tensorflow and Keras