Machine Learning with Python: The Complete Course
Machine learning is a scientific study of algorithms. Python is an interpreted, high level general purpose programming language.
Updated on Apr, 2024
Language - English
Lectures -63
Duration -11 hours
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Course Description
Machine learning mainly focuses on making predictions using computers. Data mining is a field within machine learning , it focuses on data analysis. The concept of machine learning is also referred to as predictive analysis. Python language is a multipurpose language which can be used for developing both desktop and web applications. There are two types of learning algorithms : supervised learning and unsupervised learning.
Goals
What will you learn in this course:
- Demystifying AI-ML-Data Science
- Exploring The Data Scientist's Toolbox
- Quick Recap Of Python
- Datatypes- Numpy and Pandas
- Data Engineering
- Machine Learning Methodology
- Univariate Analysis
- Introduction To Statistics
- Probability Distributions
- Supervised Learning
- Simple & Multiple Linear Regression
- Decision Trees
- Model Evaluation
- Hyperparameter Tuning
- Ensemble Modeling
- XGBoost [Boosting]
- RF & XGB Demo
- Capstone Project
Prerequisites
What are the prerequisites for this course?
- A computer with internet
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
6 Lectures
-
Overview of Contents
01:59
01:59
-
The Bigger Picture
06:02
06:02
-
The Problem Landscape
10:53
10:53
-
Defining Data Science
06:20
06:20
-
Demystifying AI-ML-Data Science
03:46
03:46
-
Exploring the Data Scientist's Toolbox
10:18
10:18
Introduction to Data Scientist's Toolbox
14 Lectures
Exploratory Data Analysis, Feature Engineering and Hypothesis Testing
9 Lectures
Machine Learning
25 Lectures
Capstone Project
8 Lectures
Instructor Details
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