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Machine Learning For professional

Track :

Programming

Lessons no : 494

For Free Certificate After Complete The Course

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What will you learn in this course?
  • Master key machine learning algorithms including supervised, unsupervised, and reinforcement learning techniques for real-world applications
  • Develop and evaluate machine learning models using Python, TensorFlow, and scikit-learn for predictive analytics and data analysis
  • Apply data preprocessing, feature engineering, and model tuning to improve machine learning model accuracy and efficiency
  • Implement machine learning workflows for business intelligence, automation, and decision-making processes in various industries
  • Design scalable machine learning solutions that handle large datasets and complex data structures effectively
  • Utilize cross-validation, hyperparameter optimization, and model validation techniques to enhance model robustness and reliability
  • Integrate machine learning models into software applications and APIs for seamless deployment and user accessibility
  • Analyze and interpret machine learning model outputs to derive actionable insights and strategic recommendations
  • Identify ethical considerations and biases in machine learning models to ensure fair and responsible AI deployment
  • Use visualization tools to communicate machine learning results clearly to technical and non-technical stakeholders
  • Develop custom machine learning models tailored to specific industry problems such as finance, healthcare, and marketing
  • Implement deep learning architectures like neural networks for complex pattern recognition and image processing tasks
  • Apply unsupervised learning techniques for clustering, anomaly detection, and customer segmentation
  • Utilize reinforcement learning principles to develop adaptive systems and autonomous decision-making agents
  • Stay updated with the latest trends, tools, and research in machine learning to continuously improve skills and solutions
  • Build comprehensive machine learning projects from data collection to deployment, demonstrating practical expertise

How to Get The Certificate

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  • Watch at least 50% of Lesson Duration
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  • The Certificate is free !
Lessons | 494
Introduction
00:02:39

Introduction
Introduction Part II
00:01:09

Introduction Part II
Introduction Pt III
00:00:46

Introduction Pt III
Prerequisites
00:00:58

Prerequisites
Machine Learning in the Google Self Driving Car
00:02:13

Machine Learning in the Google Self Driving Car
Quiz Intro to Machine Learning
00:01:40

Quiz Intro to Machine Learning
Solution Intro to Machine Learning
00:01:07

Solution Intro to Machine Learning
Supervised Classification Example Quiz Intro to Machine Learning
00:00:45

Supervised Classification Example Quiz Intro to Machine Learning
Supervised Classification Example Intro to Machine Learning
00:01:08

Supervised Classification Example Intro to Machine Learning
Features and Labels Musical Example
00:01:08

Features and Labels Musical Example
Features Visualization Quiz Intro to Machine Learning
00:01:04

Features Visualization Quiz Intro to Machine Learning
Features Visualization Solution Intro to Machine Learning
00:00:11

Features Visualization Solution Intro to Machine Learning
Classification By Eye Quiz Intro to Machine Learning
00:00:26

Classification By Eye Quiz Intro to Machine Learning
Classification By Eye Solution Intro to Machine Learning
00:00:31

Classification By Eye Solution Intro to Machine Learning
Intro To Stanley Terrain Classification
00:00:45

Intro To Stanley Terrain Classification
Speed Scatterplot Grade and Bumpiness Intro to Machine Learning
00:01:28

Speed Scatterplot Grade and Bumpiness Intro to Machine Learning
Speed Scatterplot Grade and Bumpiness Intro to Machine Learning
00:00:05

Speed Scatterplot Grade and Bumpiness Intro to Machine Learning
Speed Scatterplot 2 Intro to Machine Learning
00:00:06

Speed Scatterplot 2 Intro to Machine Learning
Speed Scatterplot 2 Intro to Machine Learning
00:00:09

Speed Scatterplot 2 Intro to Machine Learning
Speed Scatterplot 3 Intro to Machine Learning
00:00:07

Speed Scatterplot 3 Intro to Machine Learning
Speed Scatterplot 3 Intro to Machine Learning
00:00:35

Speed Scatterplot 3 Intro to Machine Learning
Scatterplots to Predictions Intro to Machine Learning
00:00:34

Scatterplots to Predictions Intro to Machine Learning
Scatterplots to Predictions Intro to Machine Learning
00:00:08

Scatterplots to Predictions Intro to Machine Learning
Scatterplots to Predictions 2 Intro to Machine Learning
00:00:10

Scatterplots to Predictions 2 Intro to Machine Learning
Scatterplots to Predictions 2 Intro to Machine Learning
00:00:11

Scatterplots to Predictions 2 Intro to Machine Learning
Scatterplots to Decision Surface Intro to Machine Learning
00:00:33

Scatterplots to Decision Surface Intro to Machine Learning
Scatterplot to Decision Surface Intro to Machine Learning
00:00:21

Scatterplot to Decision Surface Intro to Machine Learning
Good Linear Decision Surface Intro to Machine Learning
00:00:17

Good Linear Decision Surface Intro to Machine Learning
Good Linear Decision Surface Intro to Machine Learning
00:00:48

Good Linear Decision Surface Intro to Machine Learning
Transition to Using Naive Bayes
00:00:18

Transition to Using Naive Bayes
NB Decision Boundary in Python
00:00:38

NB Decision Boundary in Python
Getting Started With sklearn
00:01:26

Getting Started With sklearn
Gaussian NB Example
00:03:03

Gaussian NB Example
GaussianNB Deployment on Terrain Data Intro to Machine Learning
00:00:57

GaussianNB Deployment on Terrain Data Intro to Machine Learning
Gaussian Deployment Solution Intro to Machine Learning
00:00:13

Gaussian Deployment Solution Intro to Machine Learning
Accuracy of Naive Bayes Intro to Machine Learning
00:01:24

Accuracy of Naive Bayes Intro to Machine Learning
Accuracy of Naive Bayes Intro to Machine Learning
00:00:45

Accuracy of Naive Bayes Intro to Machine Learning
Training and Testing Data
00:01:13

Training and Testing Data
Unpacking NB Using Bayes Rule
00:00:21

Unpacking NB Using Bayes Rule
Bayes Rule
00:00:27

Bayes Rule
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machine learning, in artificial intelligence (a subject within computer science), discipline concerned with the implementation of computer software that can .