Complete Machine Learning & Data Science with Python | A-Z

Complete Machine Learning & Data Science with Python | A-Z
Duration: 8h 43m | .MP4 1280×720, 30 fps(r) | AAC, 44100 Hz, 2ch | 3.11 GB

Use Scikit, learn NumPy, Pandas, Matplotlib, Seaborn and dive into machine learning A-Z with Python and Data Science.

What you’ll learn
Learn Machine Learning with Hands-On Examples
What is Machine Learning?
Machine Learning Terminology
Evaluation Metrics
What are Classification vs Regression?
Evaluating Performance-Classification Error Metrics
Evaluating Performance-Regression Error Metrics
Supervised Learning
Use matplotlib and seaborn for data visualizations
Machine Learning with SciKit Learn
Linear Regression Algorithm
Logistic Regresion Algorithm
K Nearest Neighbors Algorithm
Decision Trees And Random Forest Algorithm
Support Vector Machine Algorithm
Unsupervised Learning
K Means Clustering Algorithm
Hierarchical Clustering Algorithm
Principal Component Analysis (PCA)
Recommender System Algorithm

Requirements
Basic knowledge of Python Programming Language
Be Able To Operate & Install Software On A Computer
Free software and tools used during the course
Determination to learn and patience.
Motivation to learn the the second largest number of job postings relative program language among all others
Data visualization libraries in python such as seaborn, matplotlib

Description
Hello there,

Welcome to the “Complete Machine Learning & Data Science with Python | A-Z” course.

Do you know data science needs will create 11.5 million job openings by 2026?

Do you know the average salary is $100.000 for data science careers!

Data Science Careers Are Shaping The Future

If you want to learn one of the employer’s most request skills?

If you are an experienced developer and looking for a landing in Data Science!

In all cases, you are at the right place!

We’ve designed for you “Complete Machine Learning & Data Science with Python | A-Z” a straightforward course for Python Programming Language and Machine Learning.

We will open the door of the Data Science and Machine Learning a-z world and will move deeper. You will learn the fundamentals of Machine Learning A-Z and its beautiful libraries such as Scikit Learn.

Throughout the course, we will teach you how to use Python to analyze data, create beautiful visualizations, and use powerful machine learning python algorithms.

This Machine Learning course is for everyone!

My "Machine Learning with Hands-On Examples in Data Science" is for everyone! If you don’t have any previous experience, not a problem! This course is expertly designed to teach everyone from complete beginners, right through to professionals ( as a refresher).

Why we use a Python programming language in Machine learning?

What you will learn?

During the course you will learn the following topics:

What is Machine Learning?

More About Machine Learning

Machine Learning Terminology

Evaluation Metrics

What is Classification vs Regression?

Evaluating Performance-Classification Error Metrics

Evaluating Performance-Regression Error Metrics

Machine Learning with Python

Supervised Learning

Use Matplotlib and seaborn for data visualizations

Machine Learning with SciKit Learn

Linear Regression Theory

Logistic Regression Theory

Logistic Regression with Python

K Nearest Neighbors Algorithm Theory

K Nearest Neighbors Algorithm With Python

K Nearest Neighbors Algorithm Project Overview

K Nearest Neighbors Algorithm Project Solutions

Decision Trees And Random Forest Algorithm Theory

Decision Trees And Random Forest Algorithm With Python

Decision Trees And Random Forest Algorithm Project Overview

Decision Trees And Random Forest Algorithm Project Solutions

Support Vector Machines Algorithm Theory

Support Vector Machines Algorithm With Python

Support Vector Machines Algorithm Project Overview

Support Vector Machines Algorithm Project Solutions

Unsupervised Learning Overview

K Means Clustering Algorithm Theory

K Means Clustering Algorithm With Python

K Means Clustering Algorithm Project Overview

K Means Clustering Algorithm Project Solutions

Hierarchical Clustering Algorithm Theory

Hierarchical Clustering Algorithm With Python

Principal Component Analysis (PCA) Theory

Principal Component Analysis (PCA) With Python

Recommender System Algorithm Theory

Recommender System Algorithm With Python

With my up-to-date course, you will have a chance to keep yourself up-to-date and equip yourself with a range of Python programming skills. I am also happy to tell you that I will be constantly available to support your learning and answer questions.

Why would you want to take this course?

Our answer is simple: The quality of teaching.

When you enroll, you will feel the OAK Academy`s seasoned developers’ expertise. Questions sent by students to our instructors are answered by our instructors within 48 hours at the latest.

Video and Audio Production Quality

All our videos are created/produced as high-quality video and audio to provide you the best learning experience.

You will be,

Seeing clearly

Hearing clearly

Moving through the course without distractions
You’ll also get:

Lifetime Access to The Course

Fast & Friendly Support in the Q&A section

Udemy Certificate of Completion Ready for Download

We offer full support, answering any questions.

If you are ready to learn the “Complete Machine Learning & Data Science with Python | A-Z” course.

Dive in now! See you in the course!

Who this course is for:
Software developer who wants to learn "Machine Learning"
Students Interested in Beginning Data Science Applications in Python Environment
People Wanting to Specialize in Anaconda Python Environment for Data Science and Scientific Computing
Students Wanting to Learn the Application of Supervised Learning (Classification) on Real Data Using Python

More Info