Machine Learning with Python Course

Cutting-edge curriculum Designed by Experts

40 Hours of Instructor-Led Training

Hands-On Training with Python Programming

Expected 40% Rise in Increment

Hassle-Free Payment Option

4.9/5

8525 Enrolled

Overview

What we will guide you through

Understand the fundamental concepts & applications of machine learning
Learn the features, conventions, and implementation steps of Scikit-Learn
Acquire knowledge of vectors, dot products, and hyperplanes for machine learning applications
Comprehend data types, random variables, and statistical measures essential for analysis
Explore techniques for cleaning and analyzing data before modeling

Learning Objectives

Once you complete the course, you will master the following

Grasp key machine learning concepts and applications

Learn how Python applies machine learning

Utilize Python libraries for data manipulation, preprocessing, and visualization

Develop machine learning algorithms from scratch

Comprehend advanced logic and data structures

Ready to get started?

Prerequisites

There are no prerequisites for this Machine Learning with Python course

However, professionals with prior knowledge of foundational Python programming and statistics will have the upper hand when grasping concepts

Overall ratings by our students

Upcoming sessions

Our Trainer

We, at Learners Point, take immense pride in our teaching methods and instructors. Our instructors are some of the best experts from their fields and employ a practical approach to learning. Many of them are globally recognised and have a diverse set of experience in their field of expertise. You are always sure to have the best in the industry as your teachers who are ready to guide you at every step and make the experience informative yet enjoyable. Apart from the focus on learning your chosen course, our instructors also encourage students to develop communication skills and interpersonal skills necessary to excel in the practical world.

Our cutting edge teaching methods make every program an immersive and productive experience for the learners. Our learning methods are research-driven and are continuously updated to stay relevant to present times as well as the future. You will enjoy practical applications of everything learned through theory and regular mock examinations to help monitor your progress. Our courses are led by an instructor in a classroom setup and we do offer online high-quality sessions as well for individuals. We also monitor the training sessions with a progress tracker to maintain high standards of instruction & ethics.

Learners Point Certificate

Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

KHDA Certificate

Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.

Related courses

Curriculum

Basics of Machine Learning
What and why Machine Learning
Applications of Machine Learning
Types of Machine Learning
Main Challenges of Machine Learning

Introduction to Scikit Learn
Features of Scikit-Learn
Conventions
Implementation Steps

Vectors (2D,3D)
Dot Product
Hyperplane
Square, Rectangle
Hypercube

Data types and Its measures
Random Variables Its application with variables
Probability-Application with Examples
Probability Distribution with Examples
Sampling Funnel-Why and How

What Is Statistics
Basic Terminologies In Statistics
Types Of Statistics
Descriptive Statistics
Measure of Central Tendency ( Mean, Median, Mode )
Measures of Dispersion ( Variance, Standard Deviation,Range-its Derivation )
Measures of Skewness & Kurtosis
Inferential Statistics

Is Your Data Clean?
What is Data Pre-Processing?
Data Cleaning Techniques

Introduction
2D Scatter-plot
3D Scatter-plot
Pair Plots
Univariate, Bivariate, and Multivariate
Histogram
Box-plot
Variance, Standard Deviation
Median
IQR ( InterQuartile Range)

Introduction
Need for Feature Engineering in Machine Learning
Steps in Feature Engineering
Feature Engineering Techniques

Confusion Matrix
ROC Curve
Cross Validation in Machine Learning
K Fold Cross Validation & Grid Search

Linear Regression - Mathematical Intuition
Programming of Linear Regression in Python-Scikit Learn

Difference Between Regression and Classification
Various Algorithms in Classification
Logistic Regression

Unsupervised Learning
Types of Unsupervised Learning
Applications of Unsupervised Learning
Introduction to Clustering Algorithms
Types of Clustering Algorithms
What is K-Means Clustering?
Implementation of K-Means Clustering
Improving Models

What is Association Rule Mining?
Algorithms in Association Rule Mining
Implementation of Apriori in Python

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Frequently asked questions

The global job growth for AI and Machine Learning jobs has increased by almost 75% over the past four years and is poised to keep growing. Pursuing a career in Machine Learning is a solid choice for high-paying jobs that will be in demand for decades.

Python is the most popular programming language that is used in machine learning and data science applications. Learning Machine Learning with Python will enhance your value in the global job market and give your career a boost. The skills gained through this training approve of your efficiency while performing demanding roles, hence inviting high job positions with lucrative salary packages.

Python is one of the most commonly used languages to build Machine Learning systems. This Machine Learning with Python training enables you to polish your programming and statistical skills and invites numerous opportunities in this emerging sector.

This Machine Learning with Python course in Dubai is ideal for Software or Data Engineers interested in learning the fundamentals of quantitative analysis and machine learning and anyone interested in the field of machine learning and wanting to master essential machine learning algorithms for implementing them in real-life business solutions.

The following are the prerequisites for this Machine Learning with Python course:

Basic programming knowledge
Familiarity with statistics

The training sessions at Learners Point are interactive, immersive, and intensive hands-on programs. We offer 3 modes of delivery and participants can choose from instructor-led classroom-based group coaching, one-to-one training session, or high-quality live and interactive online sessions as per convenience.

At Learners Point, if a participant doesn’t wish to proceed with the training after the registration due to any reason, he or she is entitled to a 100% refund. However, the refund will be issued only if we are notified in writing within 2 days from the date of registration. The refund will be processed within 4 weeks from the day of exit.