Machine Learning With Python 2025

machine learning algorithms with python with projects examples quizes

What you'll learn

learn the basics using real world examples.

learn about every major topics ,working with python

understand and learn machine leaning and predictive model based on machine learning.

basics of machine learning on python.

Requirements

anaconda software

no prior knowledge of python is required.

Description

here is why you should take this coursethis course is a complete guide to both supervised and unsupervised learning using python. this means, this course covers all the main aspects of practical data science and if you take this course you can do away with taking other courses or buying books on python-based data science.in this age of big data, companies across the globe use python to sift through the avalanche of information at their disposal.by becoming proficient in unsupervised and supervised learning in python, you can give your company a competitive edge and boost your career to the next level.learn from an expert data science with 3+ years of experience:my name is aakash singh and i had also recently published my research paper in international journal ijsr on machine learning dataset.this course will give you robust grounding in the main aspects of machine learning – clustering and classification.no prior python or statistics or machine learning knowledge is required:you will start by absorbing the most valuable python data science basics and techniques.i use easy to understand hands-on methods to simplify and address even the most difficult concepts in python.my course will help you to implement the methods using real data obtained from different sources.after using this course, you will easily use packages like numpy, pandas, and matplotlib to work with real data in python.we will go through lab sections on jupyter notebook terminal. we will go through lots of real-life examples for increasing practical side knowledge of programming, and we should not neglect the theory section also, which is essential for this course. by the end of this course, you will be able to code in python language and feel confident with machine learning, and you will also be able to create your own program and implement it where you want.most importantly, you will learn to implement these techniques practically using python. you will have access to all the data and scripts used in this course. remember, i am always around to support my students.both python and machine learning are most needed skills nowadays.

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: variables of python

Lecture 2 variables of python

Section 3: how machine learns?

Lecture 3 how machine learns?

Section 4: operators intro

Lecture 4 operators intro

Section 5: project 2

Lecture 5 project 2

those who don't know where to start with python and machine learning.,those who need a complete guide on how to start and continue their career with python.