Machine Learning with Python : COMPLETE COURSE FOR BEGINNERS

Machine Learning and artificial intelligence (AI) is everywhere; if you want to know how companies like Google, Amazon, and even Udemy extract meaning and insights from massive data sets, this data science course will give you the fundamentals you need. Data Scientists enjoy one of the top–paying jobs, with an average salary of $120,000 according to Glassdoor and Indeed. That’s just the average! And it’s not just about money – it’s interesting work too!

Machine Learning (Complete course Overview)

Foundations

Introduction to Machine Learning

Intro

Application of machine learning in different fields.

Advantage of using Python libraries. (Python for machine learning).

Python for AI & ML

Python Basics

Python functions, packages, and routines.

Working with Data structure, arrays, vectors & data frames. (Intro Based with some examples)

Jupyter notebook– installation & function

Pandas, NumPy, Matplotib, Seaborn

Applied Stastistics

Descriptive statistics

Probability & Conditional Probability

Hypothesis Testing

Inferential Statistics

Probability distributions – Types of distribution – Binomial, Poisson & Normal distribution

Machine Learning

Supervised Learning

Multiple variable Linear regression

Regression

Introduction to Regression

Simple linear regression

Model Evaluation in Regression Models

Evaluation Metrics in Regression Models

Multiple Linear Regression

Non–Linear Regression

Naive bayes classifiers

Multiple regression

K–NN classification

Support vector machines