Professional Certificate in Data Mining & Machine Learning

Professional Certificate in Data Mining & Machine Learning, available at $54.99, has an average rating of 4.7, with 260 lectures, based on 203 reviews, and has 1311 subscribers.

You will learn about Machine Learning – [A -Z] Comprehensive Training with Step by step guidance Supervised Learning – (Univariate Linear regression, Multivariate Linear Regression, Logistic regression, Naive Bayes Classifier, Trees, SVM, Random Forest) Unsupervised Learning – Clustering, K-Means clustering Data Pre-processing – NumPy, Pandas, matplotlib etc [Data Preprocessing is that step in which the data gets transformed, or Encoded] Evaluating the Machine Learning Algorithms : Precision, Recall, F-Measure, Confusion Matrices, Deep Convolutional Generative Adversarial Networks (DCGAN) Java Programming For Data Scientists Python Programming Basics For Data Science This course is ideal for individuals who are Any student in college who wants to start a career in Data Science, Data mining , Machine Learning or Any data analysts who want to level up in Machine Learning or Anyone who is not satisfied with their job and who wants to become a Data Scientist or Anyone who wants to create added value to their business by using powerful Machine Learning tools or For anyone who does not have prior knowledge on programming. We have comprehensive chapters on python, Java programming, web development, Algorithms etc It is particularly useful for Any student in college who wants to start a career in Data Science, Data mining , Machine Learning or Any data analysts who want to level up in Machine Learning or Anyone who is not satisfied with their job and who wants to become a Data Scientist or Anyone who wants to create added value to their business by using powerful Machine Learning tools or For anyone who does not have prior knowledge on programming. We have comprehensive chapters on python, Java programming, web development, Algorithms etc.

Enroll now: Professional Certificate in Data Mining & Machine Learning

Summary

Title: Professional Certificate in Data Mining & Machine Learning

Price: $54.99

Average Rating: 4.7

Number of Lectures: 260

Number of Published Lectures: 233

Number of Curriculum Items: 260

Number of Published Curriculum Objects: 233

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Machine Learning – [A -Z] Comprehensive Training with Step by step guidance
Supervised Learning – (Univariate Linear regression, Multivariate Linear Regression, Logistic regression, Naive Bayes Classifier, Trees, SVM, Random Forest)
Unsupervised Learning – Clustering, K-Means clustering
Data Pre-processing – NumPy, Pandas, matplotlib etc [Data Preprocessing is that step in which the data gets transformed, or Encoded]
Evaluating the Machine Learning Algorithms : Precision, Recall, F-Measure, Confusion Matrices,
Deep Convolutional Generative Adversarial Networks (DCGAN)
Java Programming For Data Scientists
Python Programming Basics For Data Science

Who Should Attend

Any student in college who wants to start a career in Data Science, Data mining , Machine Learning
Any data analysts who want to level up in Machine Learning
Anyone who is not satisfied with their job and who wants to become a Data Scientist
Anyone who wants to create added value to their business by using powerful Machine Learning tools
For anyone who does not have prior knowledge on programming. We have comprehensive chapters on python, Java programming, web development, Algorithms etc

Target Audiences

Any student in college who wants to start a career in Data Science, Data mining , Machine Learning
Any data analysts who want to level up in Machine Learning
Anyone who is not satisfied with their job and who wants to become a Data Scientist
Anyone who wants to create added value to their business by using powerful Machine Learning tools
For anyone who does not have prior knowledge on programming. We have comprehensive chapters on python, Java programming, web development, Algorithms etc

Are you ready to take your data skills to the next level? Join us for a comprehensive exploration of the exciting world of data mining and machine learning. This course is designed to provide you with the knowledge and skills you need to unlock the value of big data and gain a competitive edge in today’s data-driven world.

Master Data Science: Your Path to a Lucrative Career in Machine Learning [2024 Edition]

Course Description: Embark on a transformative journey from novice to Machine Learning Pro with our comprehensive Professional Certificate in Data Mining & Machine Learning course. In this meticulously crafted masterclass, you’ll delve into the world of data science, learning valuable skills and techniques that will not only make you job-ready but also empower you to excel in the fast-evolving field of machine learning.

Course Highlights:

Total Duration: 56 hours and 51 minutes of engaging video content.
Live Sessions: Benefit from live classes that bring the curriculum to life.
Practical Insights: Gain hands-on experience with coding exercises, quizzes, and assignments.
Expert Guidance: Navigate your learning journey with expert support and interactive sessions.

Comprehensive Curriculum:

Section 1: Introduction Explore the significance of a Professional Certificate in Data Mining & Machine Learning.
Section 2: Setting up the Environment Learn to set up the environment for Python Machine Learning, including Anaconda and PyCharm IDE.
Section 3: Python Basics For Machine Learning Master Python fundamentals essential for machine learning.
Section 4: Data Manipulation and Visualization Libraries Dive into NumPy, Pandas, and Matplotlib for efficient data handling and visualization.
Section 5: Scikit-learn Essentials Get started with Python’s machine learning powerhouse.
Section 6: Understanding Data With Statistics Explore statistical methods for understanding and analyzing data.
Section 7: Data Pre-processing Learn essential data pre-processing techniques, including scaling and normalization.
Section 8: Data Visualization with Python Create impactful visualizations using Python tools.
Section 9: Machine Learning Delve into the core concepts of machine learning in this masterclass section.
Section 10: Machine Learning: Supervised Learning Algorithms Understand and implement a variety of supervised learning algorithms.
Section 11: Artificial Neural Networks Unravel the mysteries of artificial neural networks with comprehensive sessions.
Section 12: Bias & Variance Gain insights into diagnosing bias, variance, and the trade-off between them.
Section 13: Regression Algorithms Explore regression algorithms for predicting continuous outcomes.
Section 14: Machine Learning: Unsupervised Learning Algorithms Dive into unsupervised learning techniques.
Section 15: Clustering Algorithms Master clustering algorithms for data segmentation.
Section 16: Generative Models Understand and implement generative models, including GANs and DCGANs.
Section 17: Natural Language Processing (NLP) Introduction to NLP and its applications in real-world projects.
Section 18: Java & Web For Data Scientists Elevate your skills with Java programming and web development for data scientists.

Invest in Your Future: This course is not just an education; it’s an investment in your future. Learn, practice, and master the skills that will make you highly sought-after in the job market. Join us on this exciting journey to becoming a data science and machine learning expert. Your success story begins here!

Note: This course is designed to accommodate beginners, making it accessible to anyone interested in a career in data science.

Unlock the Power of Data Science – Enroll Now and Shape Your Future in Machine Learning!“

The “Data Mining and Machine Learning” course is the perfect solution for anyone looking to complete a research project with confidence. With step-by-step guidance and real-life examples, this comprehensive course covers everything from A to Z. You will learn the latest techniques in data pre-processing, data visualization, artificial neural networks, deep learning, and more. Plus, our expert instructors will provide you with the necessary tools to set up your environment for Python Machine Learning, understand data with statistics, and develop your own deep learning project. Whether you’re a student, data analyst, or professional seeking to level up in the field, this course has everything you need to succeed. So why wait? Start your journey to becoming a data mining and machine learning expert today!

Course Learning Outcomes

The objective of this course is to impart a comprehensive understanding of supervised and unsupervised learning within the field of machine learning.

Additionally, the course aims to educate learners on the proper utilization of machine learning techniques.

The program will enable participants to construct appropriate neural models using state-of-the-art Python frameworks and to build neural models from scratch, following detailed instructions.

The course also seeks to equip learners with the ability to develop end-to-end solutions to address real-world problems, as well as to critically evaluate and select the most suitable machine learning solutions.

It should be noted that this course includes instruction in Python programming.”

Requirements

A computer with internet connection
Passion & commitment

“Unlock the Power of Machine Learning with Our Comprehensive Course

Are you ready to delve into the exciting world of machine learning? Our comprehensive course covers everything from setting up the environment for Python machine learning to deep learning and beyond.

At the end of this course, you will have gained a solid understanding of the following:

Setting up the Environment for Python Machine Learning
Understanding Data with Statistics and Data Pre-processing
Scaling, normalization, binarization, and standardization in Python, along with feature selection techniques
Data visualization with Python, including bar charts, histograms, and pie charts
Supervised & Unsupervised Learning Algorithms

Whether you’re a college student, data analyst, or business professional seeking to leverage the power of machine learning, this course is for you. With step-by-step guidance and comprehensive chapters, our experienced instructors will help you build a solid foundation in these cutting-edge technologies.

Enroll now and start your journey to mastering machine learning!”

Additionally, this course covers Java, python programming (A to Z), Web Development, Natural Language Processing, Generative Adversarial Networksand many more.

Does the course get updated?

We continually update the course as well.

What if you have questions?

we offer full support, answering any questions you have.

There’s no risk!

Risk-Free Learning with Udemy’s 30-Day Money-Back Guarantee!

This course is designed based on a comprehensive analysis of the skill sets required in data science, data mining, and machine learning positions at major tech employers. The curriculum covers a range of machine learning, AI, and data mining techniques that are in high demand among employers.

The target audience for this course includes:

College or university students seeking a career in data science, data mining, or machine learning
Data analysts who wish to expand their knowledge in the field of machine learning
Individuals seeking to transition into a career as a data scientist
Business professionals looking to add value to their organization through the use of powerful machine learning tools
Individuals without prior programming experience, as the course includes comprehensive chapters on Python programming, Java programming, web development, and algorithms

Our Bestselling Machine Learning masterclass “Professional Certificate in Data Mining & Machine Learning” from the Academy of Computing and Artificial Intelligence, UK, will make you a Champion.

We have provided sample Machine Learning projects with source codes which you can use in your profile and projects.

The topics in this course come from an analysis of real requirements in data scientist, Machine learning engineer job listings from the biggest tech employers.

Join our class for a wonderful journey of Machine Learning and a rewarding career.

We continually update the course.

Last Update : 22/1/2024 – Updated with latest Deep Learning series & Sections

Course Curriculum

Chapter 1: Introduction

Lecture 1: Professional Certificate in Data Mining & Machine Learning

Lecture 2: What is Machine Learning and why it is Important

Lecture 3: Stay ahead of the game with machine learning

Lecture 4: Who is this course for? And Expert Support for your Queries

Lecture 5: What is Data Mining

Lecture 6: What is Machine Learning

Lecture 7: Types of Learning in Machine learning (Supervised, Unsupervised, Reinforcement )

Lecture 8: Traditional Programming Vs Machine Learning

Lecture 9: Classification : Definition

Chapter 2: Setting up the Environment **

Lecture 1: Setting up the Environment

Chapter 3: Setting up the Environment for Python Machine Learning

Lecture 1: Python For machine Learning : Setting up the Environment : Anaconda

Lecture 2: Downloading and Setting up Python and PyCharm IDE

Chapter 4: Python Basics For Machine Learning *

Lecture 1: Python Basics For Machine Learning – Lectures & Design Sessions

Chapter 5: Python For Absolute Beginners – Lectures [skip this if you know python]

Lecture 1: Python For Absolute Beginners – Variables – Part 1

Lecture 2: Python For Absolute Beginners – Variables – Part 2

Lecture 3: Python For Absolute Beginners – Variables – Part 3

Lecture 4: Python For Absolute Beginners – Lists

Lecture 5: Python For Absolute Beginners – Lists Part 2

Lecture 6: Python For Absolute Beginners – Lists Part 3

Chapter 6: **Data Manipulation and Visualization Libraries: NumPy, Pandas, Matplotlib *

Lecture 1: Overview

Chapter 7: NumPy Tutorial – Numerical Python

Lecture 1: Introduction to NumPy

Lecture 2: Create a NumPy ndarray Object

Lecture 3: NumPy Array Indexing

Lecture 4: NumPy Array Slicing

Lecture 5: NumPy Array Copy vs View

Lecture 6: NumPy Array Reshaping

Lecture 7: NumPy Array Iterating

Chapter 8: Pandas Tutorial

Lecture 1: Pandas Introduction

Lecture 2: Pandas DataFrames

Lecture 3: Pandas Read CSV & Analyzing DataFrames

Lecture 4: Pandas – Cleaning Empty Cells

Lecture 5: Pandas – Removing Duplicates

Lecture 6: Pandas – Data Correlations

Chapter 9: Matplotlib Tutorial

Lecture 1: Matplotlib Tutorial Part 1

Chapter 10: Scikit-learn Essentials: Python's ML Powerhouse [Getting started ]

Lecture 1: Python Machine Learning: Scikit-Learn [Getting started ]

Lecture 2: Scikit-learn example: Data preprocessing

Lecture 3: Scikit-learn example: Model training

Lecture 4: Scikit-learn example: Model evaluation

Chapter 11: ** Understanding Data With Statistics

Lecture 1: Understanding Data with Statistics: Reading data from file

Lecture 2: Understanding Data with Statistics: Checking dimensions of Data

Lecture 3: Understanding Data with Statistics: Correlation between attributes

Lecture 4: Understanding Data with Statistics: Statistical Summary of Data

Chapter 12: Data Pre-processing **

Lecture 1: Data Pre-processing – Scaling with a demonstration in python

Lecture 2: Data Pre-processing – Normalization , Binarization , Standardization in Python

Lecture 3: feature Selection Techniques : Univariate Selection

Chapter 13: Data Visualization with Python

Lecture 1: Data preparation and Bar Chart

Lecture 2: Data Visualization with Python Histogram , Pie Chart, etc..

Chapter 14: Machine Learning ****

Lecture 1: Machine Learning ( Masterclass )

Chapter 15: ——- Machine Learning : Supervised Learning Algorithms ——–

Lecture 1: Overview of Supervised Learning Algorithms

Chapter 16: ///////// Classification Algorithms ////////

Lecture 1: Classification Algorithms [ Section Overview ]

Chapter 17: Artificial Neural Networks [ Comprehensive Sessions]

Lecture 1: Introduction to Artificial Neural Networks

Lecture 2: Creating the First ANN from Scratch with Python

Lecture 3: Multiple Input Neuron

Lecture 4: Creating a simple layer of neurons, with 4 inputs. # Python # From scratch

Lecture 5: ANN – Illustrative Example

Lecture 6: KERAS Tutorial – Developing an Artificial Neural Network in Python -Step by Step

Lecture 7: Deep Learning -Handwritten Digits Recognition [Step by Step] [Complete Project ]

Lecture 8: Overfitting & Underfitting

Chapter 18: Hands-On Neural Network with TensorFlow

Lecture 1: Introduction

Lecture 2: Set up TensorFlow

Lecture 3: Load a dataset

Lecture 4: Build a machine learning model

Lecture 5: Define a loss function

Lecture 6: Configure and compile the model

Lecture 7: Code – Demo

Chapter 19: Bias & Variance

Lecture 1: Diagnosing bias and variance

Chapter 20: Logistic regression

Lecture 1: Logistic regression

Chapter 21: Naive Bayes Classifier with Python [Lecture & Demo]

Lecture 1: Lecture & Demo: Naive bayes classifier

Chapter 22: Decision Trees

Lecture 1: Decision Tree – Revision with Calculations #Exam/Interview revision

Chapter 23: Support Vector Machines (SVM)

Lecture 1: Support Vector Machines (SVM) Implementation [Theory]

Lecture 2: Support Vector Machines (SVM) Implementation Part 1

Lecture 3: Support Vector Machines (SVM) Implementation Part 2

Lecture 4: Dealing with non-linear and inseparable planes

Lecture 5: SVM Kernels

Lecture 6: Tuning Hyperparameters

Chapter 24: //////// Regression Algorithms ///////

Lecture 1: Regression Algorithms [Section Overview]

Instructors

Academy of Computing & Artificial Intelligence
Senior Lecturer / Project Supervisor / Consultant

Rating Distribution

1 stars: 12 votes
2 stars: 6 votes
3 stars: 14 votes
4 stars: 40 votes
5 stars: 132 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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