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Prerequisites For Machine Learning

Track :

Programming

Lessons no : 27

For Free Certificate After Complete The Course

To Register in Course you have to watch at least 30 Second of any lesson

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What will you learn in this course?
  • Understand fundamental mathematical concepts essential for machine learning, including linear algebra, calculus, and probability
  • Identify key machine learning algorithms and their practical applications in real-world scenarios
  • Apply data preprocessing and feature engineering techniques to improve model performance and accuracy
  • Evaluate machine learning models using appropriate metrics for classification, regression, and clustering tasks
  • Implement supervised and unsupervised learning techniques to solve diverse AI problems effectively
  • Utilize programming tools and libraries such as Python, scikit-learn, and TensorFlow for machine learning development
  • Troubleshoot common issues in machine learning workflows, including overfitting, underfitting, and data imbalance
  • Design and optimize machine learning models for scalability and efficiency in production environments
  • Interpret model results and communicate insights clearly to stakeholders and non-technical audiences
  • Stay updated with emerging trends and advancements in machine learning and artificial intelligence technologies

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
  • you can follow your course progress From Your Profile
  • You can Register With Any Course For Free
  • The Certificate is free !
Lessons | 27
Machine Learning Tutorial 1 What Are The Prerequisites For Machine Learning
00:06:15

Machine Learning Tutorial 1 What Are The Prerequisites For Machine Learning
Machine Learning Tutorial 2 Linear Regression Machine Learning
00:04:44

Machine Learning Tutorial 2 Linear Regression Machine Learning
Machine Learning Tutorial 3 Linear Regression Python Implementation with Scikit Learn
00:06:33

Machine Learning Tutorial 3 Linear Regression Python Implementation with Scikit Learn
Machine Learning Tutorial 4 Logistic Regression in Machine Learning
00:05:28

Machine Learning Tutorial 4 Logistic Regression in Machine Learning
Machine Learning Tutorial 5 Logistic Regression Python Implementation with Scikit Learn
00:06:48

Machine Learning Tutorial 5 Logistic Regression Python Implementation with Scikit Learn
Machine Learning Tutorial 6 Introduction to Support Vector Machines SVM
00:04:12

Machine Learning Tutorial 6 Introduction to Support Vector Machines SVM
Machine Learning Tutorial 7 Support Vector Machines SVM in Scikit learn
00:09:43

Machine Learning Tutorial 7 Support Vector Machines SVM in Scikit learn
Machine Learning Tutorial 8 Understanding Random Forest
00:05:20

Machine Learning Tutorial 8 Understanding Random Forest
Machine Learning Tutorial 9 Implement Random Forest Using the Scikit Learn
00:10:08

Machine Learning Tutorial 9 Implement Random Forest Using the Scikit Learn
Machine Learning Tutorial 10 Understanding K Means Clustering
00:06:35

Machine Learning Tutorial 10 Understanding K Means Clustering
Machine Learning Tutorial 11 K Means Clustering with scikit learn Python Example
00:09:24

Machine Learning Tutorial 11 K Means Clustering with scikit learn Python Example
Machine Learning Tutorial 12 K Nearest Neighbours KNN algorithm
00:04:30

Machine Learning Tutorial 12 K Nearest Neighbours KNN algorithm
Machine Learning Tutorial 13 K Nearest Neighbours KNN algorithm implementation in Scikit Learn
00:09:47

Machine Learning Tutorial 13 K Nearest Neighbours KNN algorithm implementation in Scikit Learn
PyTorch Python Tutorial | PyTorch Machine Learning Tutorial | Deep Learning Using PyTorch
00:54:52

PyTorch Python Tutorial | PyTorch Machine Learning Tutorial | Deep Learning Using PyTorch
What is Machine Learning | Machine Learning Basics | How to Learn Machine Learning
00:11:07

What is Machine Learning | Machine Learning Basics | How to Learn Machine Learning
Machine Learning Tutorial Supervised Learning What is Supervised Learning
00:04:19

Machine Learning Tutorial Supervised Learning What is Supervised Learning
AI and Machine Learning E Degree A Complete Masterclass Preview
00:03:05

AI and Machine Learning E Degree A Complete Masterclass Preview
ggplot2 Tutorial | ggplot2 In R Tutorial | Data Visualization In R
00:16:02

ggplot2 Tutorial | ggplot2 In R Tutorial | Data Visualization In R
Introduction to Reinforcement Learning Machine Learning Tutorial
00:20:52

Introduction to Reinforcement Learning Machine Learning Tutorial
Implementing Principle component Analysis | Machine Learning project
00:09:52

Implementing Principle component Analysis | Machine Learning project
Learn Machine Learning with Python
01:24:46

Learn Machine Learning with Python
KNN Algorithm tutorial
00:13:43

KNN Algorithm tutorial
K means Clustering Algorithm tutorial
00:14:59

K means Clustering Algorithm tutorial
Random Forest Algorithm Tutorial | Random Forest Explained
00:14:42

Random Forest Algorithm Tutorial | Random Forest Explained
Support Vector Machine SVM Algorithm Tutorial | Support Vector Machine Explained
00:13:15

Support Vector Machine SVM Algorithm Tutorial | Support Vector Machine Explained
Logistic Regression Algorithm Tutorial | Logistic Regression Explained
00:11:41

Logistic Regression Algorithm Tutorial | Logistic Regression Explained
Linear Regression Algorithm Tutorial | Linear Regression Explained
00:10:32

Linear Regression Algorithm Tutorial | Linear Regression Explained


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Vedant Kapse

Nice tutorial 2023-05-11

M. Kaleeswari

Good 2023-05-11

NAOSHIN PARVEEN SK INAYAT

Excellent Course 2023-05-10

RAZIK MOHAMED RIFKAN

very useful course 2022-12-21

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While machine learning is based on the idea that machines should be able to learn and adapt through experience, AI refers to a broader idea where machines can execute tasks "smartly." Artificial Intelligence applies machine learning, deep learning and other techniques to solve actual problems .