In this Machine Learning tutorial for beginners from WsCube Tech, you will learn basics about machine learning with practical examples for better understanding.

Machine Learning (ML) is included in day-to-day life and for staying updated. It will improve the working process of the computer algorithm.

Machine learning is a computer algorithm that can improve by itself with the help of past experiences and user data. It is considered a part of artificial intelligence. It is used in email filtering, voice recognition, computer vision, and several other self-learned operations.

Topics that are explained in detail in this machine learning full tutorial—

- Opportunities, advantages, and classification
- Top 10 ML applications
- Machine learning life cycle
- Installation of anaconda and python on windows
- Datasets
- Data preprocessing techniques
- Features and labels in ML
- Supervised and unsupervised machine learning
- Training and testing data
- Regression variables in machine learning
- Decision tree and random forest
- Naive Bayes classifier algorithm
- Overfit and underfit in machine learning

This machine learning full course will help you understand the algorithm and machine learning with python.

Look at the timestamps down below for further assistance.

Timestamps:
00:00:00 - Machine Learning Kya Hai? | Opportunities, Advantage & Classification of Machine Learning
00:36:10 - Top 10 Applications of Machine Learning in Day-to-Day Life | Machine Learning Application Examples
00:53:44 - Machine Learning Life-cycle Explained - Complete Information
01:11:07 - Install Anaconda and Python on Windows (Latest Version) | Machine Learning
01:24:28 - Artificial Intelligence vs Machine Learning vs Deep Learning | Machine Learning Tutorial
01:39:32 - What is Dataset & Types of Datasets? | Machine Learning - सम्पूर्ण जानकारी
01:57:10 - Data Preprocessing Kya Hai? | Techniques & Steps of Data Preprocessing | Machine Learning
02:31:32 - What are Features and Labels in Machine Learning? (with Example) | Machine Learning Tutorial
02:38:04 - What is Supervised Machine Learning? Types, Advantages & Disadvantages of Supervised Learning
02:51:10 - What is Unsupervised Machine Learning? Association & Clustering Algorithms in Machine Learning
03:09:26 - Training & Testing Data in Machine Learning | Complete Information
03:19:20 - Linear Regression Single Variable | Machine Learning Tutorial
03:37:13 - Linear Regression Multiple Variable | Machine Learning Tutorial
03:57:49 - Machine Learning Polynomial Regression Explained | ML Tutorial for Beginners
04:14:10 - Logistic Regression (Binary Classification) | Machine Learning Tutorial
04:32:26 - Logistic Regression (Multiclass Classification) | Machine Learning Tutorial
04:46:58 - Decision Tree Classification in Machine Learning | Decision Tree in ML
05:10:12 - Random Forest Classification in Machine Learning | Random Forest Tutorial
05:40:44 - Naive Bayes Classifier Algorithm in Machine Learning | Machine Learning Tutorial
06:02:24 - Support Vector Machine Algorithm in Machine Learning | Machine Learning Tutorial
06:22:08 - Confusion Matrix In Machine Learning | Machine Learning Tutorial
06:32:37 - Overfit & Underfit in Machine Learning | Machine Learning Tutorial for Beginners

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Check Out the Course Module: https://drive.google.com/file/d/1Llq5OF0LKJd_YzbDKA8H98a5EylhuGPk/view

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