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Practical Machine Learning

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Guvi

This course on Practical Machine Learning teaches Practical Machine Learning fundamentals through 4 interactive modules. If you are Beginner, then this course is for you. You can access this course on web and mobile, it’s available in English language.

₹ 2499.00

₹ 3000.00

17% Discount

#1

See all ranking

Home » Courses » Practical Machine Learning

Practical Machine Learning

by

Guvi

₹ 2499.00

₹ 3000.00

17% Discount

#1

See all ranking

4 Modules

with Certifications

9+ Hours

of Recorded Content

4.5 Rated

by 2001 Learners

English

Language

4 Modules

with Certifications

9 + Hours

of Recorded Content

4.5 Rated

by 2001Learners

Read all Reviews

English

Language

About

Key Features

Content

FAQs

What's in it for You?

This comprehensive and practical machine learning course designed by industry experts will teach you all the core concepts that drive machine learning and how to build and train various ML models that are used to build real-world data-driven applications by actually implementing all concepts first-hand. Throughout this course, you will go from from beginner to pro with concepts such as Regression, Gradient Descent, Data Augmentation, Cross-Validation and then onto more advanced topics such as Exploratory Data Analysis (EDA), Feature Engineering, Curse of Dimensionality and so much more. You will be working with one of the most popular ML libraries in Python: Scikit-learn and will learn to write code like a pro. Addedly, you will build as well as train classification and regression models and evaluate their performance on real-world datasets as part of your project experience in the curriculum.

Key Features:

Internationally Acknowledged Certification

Completely online and learn at your own pace course

Lifelong access to complete course

Four gamified practice platforms

Committed forum support to answer all of your questions

Refund policy of seven days

Topics you will learn

Beginner Module
Machine Learning Refresher - Intro, Types & Applications
Machine Learning Refresher - Linear Regression
Machine Learning Refresher - Logistic Regression
Machine Learning Project LifeCycle
ML Model Training Process
Training a Classification Task - Python Implementation
Gradient Descent - Error Surfaces
Gradient Descent - Computation Graphs
Gradient Descent - Algorithm, Geometric Intuition
Intermediate Module
Gradient Descent - Implementation for Linear Regression
Gradient Descent - Importance of Learning Rate
Gradient Descent - Common terminology & Hyperparameters
Gradient Descent - Types
Python Implementation of end-to-end ML Model Training
Common Issues during Training & Methods to tackle - 1
Common Issues during Training & Methods to tackle - 2
Bias-Variance Tradeoff
Data Augmentation, Cross-Validation & Regularization
Early Stopping Method & Implementation
Advanced Module
L1 & L2 Regularization Methods
Implementation showing the effects of Regularization
Properties A Loss Function Should Have
Standard Loss functions for Classification
Standard Loss functions for Regression
Python Implementation of Loss Functions
Evaluation of Trained Machine Learning Model
Evaluation Metrics for Regression Tasks
Classification Metrics - Accuracy, Confusion Matrix
Precision, Recall, F1-score & others
Expert Module
Python Implementation of Evaluation Metrics
Exploratory Data Analysis (EDA)
Feature Engineering - Intro & Significance
EDA and Feature Engineering in Python - Part 1
EDA and Feature Engineering in Python - Part 2
EDA and Feature Engineering in Python - Part 3
Curse of Dimensionality
Dimensionality Reduction & PCA Intro
Principal Component Analysis - Foundations
Principal Component Analysis - Calculation with Example
PCA demo on MNIST dataset
K-Nearest Neighbors Algorithm
KNN Implementation from scratch

Course Offerings

Certificate you will get

Certificate Features

Certification from IITM Pravartak.

Certifications strengthen your programming profile and are recognized around the world.

Certificates are awarded upon the course's completion.

Pre Requsites

Some experience with the Python programming language.

Basic knowledge of Machine Learning and a few algorithms would be a big plus.

After this Course

Gain strong knowledge of Machine Learning concepts and how to implement them.

Learn to program in Python like a pro.

Understand and implement Exploratory Data Analysis or EDA.

Implement a number of different Machine Learning algorithms and monitor their output on actual live data.

Understand and spot Common Issues during model training as well as how to tackle them.

Implement the KNN algorithm from scratch and build your first ML project.

Course is for

Freshers

Professionals

Students

FAQ's

What is the overview of GUVI’s Practical Machine Learning certification course?

Well, you will not only learn about Machine Learning and its various algorithms, but also how to actually implement them along with our industry experts and build various projects which will help you gain hands-on experience. Go pro with concepts such as Regression, Gradient Descent, Data Augmentation, Cross-Validation as well as Exploratory Data Analysis (EDA) in this comprehensive practical machine learning online course.
Why learn the Practical Machine Learning course?

Learning Practical Machine Learning will teach you in-demand skills in data analysis, pattern recognition, and predictive modeling. It equips you with tools to make data-driven decisions, automate tasks, and solve complex problems. This course is essential in today's data-driven world, opening doors to careers in data science, AI, and more, making it a wise investment in your future.
Why choose GUVI for learning the Practical Machine Learning course?

The Practical Machine Learning course offered by GUVI provides an off-beat upskilling experience where you learn by doing. So, you’re not just watching our mentors teach you, but you will be actually building and training ML models with them. The curriculum is one of the best in the industry covering topics for all beginners and eventually taking you to an advanced level with ease.
What are the benefits of earning Practical Machine Learning certification?

Above all, this practical machine learning certification enhances your job prospects by demonstrating your ML expertise. It also equips you with practical skills to tackle real-world problems, making you valuable to employers. Additionally, it provides networking opportunities within the machine learning community, fostering professional growth and knowledge exchange.
Is the Practical Machine Learning course difficult to learn?

However cliche the answer might sound, it is true. The level of difficulty depends entirely on your dedication and on us. But trust us, we’ve made it as simple for you as it gets. With this practical machine learning course by GUVI, you will learn by actually building projects and not just looking at mentors teach you concepts. However, for beginners, the learning curve can be steep. The key is consistent practice and seeking help through our forum whenever needed.
How long does it take to learn Practical Machine Learning?

You can master machine learning through our highly accredited online course at your own pace and make efficient progress. But make sure to build a progressive learning routine. So, it completely depends on your learning pace but somewhere around 4 - 6 weeks should be the average amount of time you would need.

What is this course about?

The course focuses on Practical Machine Learning. It covers fundamentals through 4 interactive modules designed for Beginners.

What is the duration of the course?

The course offers over 9 hours of recorded content.

Is there a certificate provided upon completion?

Yes, upon completing the course, you will receive a certification

What is the language of the course?

The course is currently available in English.

What are the pre-requisites for this course?

Some experience with the Python programming language. & Basic knowledge of Machine Learning and a few algorithms would be a big plus.

How can I access the course?

The course is accessible on both web and mobile platforms.

What is the cost of the course?

The original price of the course is ₹3000, but it’s currently available at a discounted price of ₹2499.

How can i buy this course?

To purchase this course you can click on the Enroll Now button it will redirect you to course page, and on that page you can buy Practical Machine Learning course.