Description

Overview

Are you ready to enhance your career and job prospects in the exciting field of Machine Learning? Our 'Machine Learning with Python Course' is your gateway to mastering this transformative technology. Dive into the world of Machine Learning and gain valuable insights into its foundational concepts through a structured curriculum. From understanding the basics of Machine Learning to harnessing the power of Numpy and Matplotlib libraries, this course equips you with the knowledge you need to excel in this dynamic field. Explore the intricacies of Polynomial Regression and unlock the potential of data-driven decision-making. With Machine Learning at the forefront, elevate your career and stay ahead in the competitive job market.

Learning Outcomes:

By the end of this course, you will:

Gain a deep understanding of Machine Learning principles and techniques.

Master the Numpy library for efficient data manipulation and analysis.

Create insightful data visualizations using Matplotlib.

Develop expertise in Polynomial Regression for predictive modeling.

Apply Machine Learning concepts to real-world problems.

Be prepared to pursue advanced Machine Learning specializations.

Description

Our 'Machine Learning with Python Course' offers a comprehensive journey into the realm of Machine Learning. With a focus on theoretical foundations, this course provides you with a strong knowledge base to tackle complex problems in data analysis and prediction. You'll delve into essential topics such as Numpy and Matplotlib, gaining the skills necessary for data manipulation and visualization. The course culminates in an exploration of Polynomial Regression, a vital tool in predictive modeling. Whether you're a beginner or looking to reinforce your understanding of Machine Learning, this course is designed to empower you with the knowledge you need.

Why Choose Us?

This course is accredited by the CPD Quality Standards.

Lifetime access to the whole collection of the learning materials.

Online test with immediate results.

Enroling in the course has no additional cost.

You can study and complete the course at your own pace.

Study for the course using any internet-connected device, such as a computer, tablet, or mobile device.

Certificate of Achievement

Upon successful completion, you will qualify for the UK and internationally-recognised CPD certificate and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £4.99 and Hardcopy Certificate for £9.99.

Who Is This Course For?

Aspiring data scientists and analysts.

Professionals seeking to transition into Machine Learning roles.

Students and enthusiasts passionate about data-driven solutions.

Anyone interested in understanding the foundations of Machine Learning.

Requirements

The Machine Learning with Python Course course requires no prior degree or experience. All you require is English proficiency, numeracy literacy and a gadget with stable internet connection. Learn and train for a prosperous career in the thriving and fast-growing industry of Machine Learning with Python Course, without any fuss.

Career Path

Machine Learning Engineer

Data Scientist

AI Researcher

Data Analyst

Business Intelligence Analyst

Software Developer

Statistician

Order Your Certificate To order CPD Quality Standard Certificate, we kindly invite you to visit the following link:

Course Curriculum

Section 01: Introduction
	Introduction to Course	00:06:00
	What is Machine Learning	00:05:00
	Life Cycle	00:05:00
Section 02: Numpy Library
	Introduction to Numpy Library	00:07:00
	Creating Arrays from Scratch	00:06:00
	Creating Arrays from Scratch Continued	00:05:00
	Array Indexing and Slicing	00:10:00
	Numpy Array Functions and Shape Modification	00:09:00
	Mathematical Operations on Numpy Arrays	00:07:00
	Introduction to Pandas Library	00:10:00
	Working with Pandas DataFrames	00:07:00
	Slicing and Indexing with Pandas	00:07:00
	Create DataFrame and Explore Dataset	00:08:00
	Data Analysis with Pandas DataFrame	00:12:00
	Other Useful Methods in Pandas Library	00:04:00
Section 03: Matplotlib
	Introduction to Matplotlib	00:06:00
	Customizing Line Plots	00:08:00
	Create Plot Using DataFrame	00:09:00
	Standard Scaler to Scale the Data	00:06:00
	Encoding Categorical Data	00:11:00
	Sklearn Pipeline and Column Transformer	00:12:00
	Evaluation Metrics in Sklearn	00:07:00
	Linear Regression	00:12:00
	Evaluation of Linear Regression Model	00:10:00
Section 04: Polynomial Regression
	Polynomial Regression	00:13:00
	Polynomial Regression Continued	00:13:00
	Sklearn Pipeline Polynomial Regression	00:11:00
	Decision Tree Classifier	00:13:00
	Decision Tree Evaluation	00:07:00
	Random Forest	00:06:00
	Support Vector Machines	00:09:00
	K-means Clustering	00:04:00
	KMeans Clustering - Hands On	00:12:00
	Data Loading and Analysis	00:06:00
	Dimensionality Reduction with PCA	00:09:00
	Hyper Parameter Tuning	00:09:00
	Summary	00:02:00
Order Your Certificate
	Order Your Certificate	00:00:00

Course Images

Machine Learning with Python Course

By NextGen Learning

Booking options

Highlights

Description

About The Provider

Tags

Reviews