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Python Machine Learning Certification Training

CertHippo Machine Learning Certification Training in Python will teach you how to use machine learning techniques including regression, clustering, decision trees, random forest, Naive Bayes, and Q-Learning. This Machine Learning Training will also assist you in comprehending the principles of Statistics, Time Series, and several types of machine learning algorithms such as supervised, unsupervised, and reinforcement algorithms. Throughout the Python Machine Learning Course, you will be tackling real-life case studies in the fields of media, healthcare, social media, aviation, and human resources.

Why This Course

According to indeed.com, the average compensation for a data scientist in the United States is $144481 per year.

To guarantee that analytical insights drive company objectives, roles such as Chief Data Scientist and Chief Analytics Officer have evolved - Forbes

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The Economic Times estimates that 11.5 million data science jobs would be produced globally by 2026.

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Instructor-led live online classes

Python Machine Learning Certification Training

Instructor-led DevOps live online Training (Weekday/ Weekend)

$750  $600

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Why Enroll In Course?

More firms are looking to employ Machine Learning in their workforce as the need for professional Data Scientists and Machine Learning Engineers develops. The sophisticated Machine Learning algorithms enable organizations to process and analyze data, allowing them to make rapid and efficient choices. Obtaining a Machine Learning Certification is the greatest approach to find a decent job with a high income in this subject.

Training Features

Live Interactive Learning

  World-Class Instructors

  Expert-Led Mentoring Sessions

  Instant doubt clearing

Lifetime Access

  Course Access Never Expires

  Free Access to Future Updates

  Unlimited Access to Course Content

24x7 Support

  One-On-One Learning Assistance

  Help Desk Support

  Resolve Doubts in Real-time

Hands-On Project Based Learning

  Industry-Relevant Projects

  Course Demo Dataset & Files

  Quizzes & Assignments

Industry Recognized Certification

  CertHippo Training Certificate

  Graded Performance Certificate

  Certificate of Completion

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  Preconfigured Lab Environment

  Infrastructure with Tools and Software

  Single Sign-On

About your AWS Course

AWS Solutions Architect Course Skills Covered

Managing Security

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Monitoring Cloud Solutions

Designing Resilient AWS Solutions

AWS Cloud Cost Optimization

Designing Identity Solutions

Course Curriculum

Topics:

  • What is Data Science?

  • What does Data Science involve?

  • Era of Data Science

  • Business Intelligence vs Data Science

  • Life cycle of Data Science

  • Tools of Data Science

  • Introduction to Python

Hands-on:

  • Installation of Node.js, Angular CLI and Visual Studio Code

Skills You will Learn:

  • Basics of Python

Topics:

  • Data Analysis Pipeline

  • What is Data Extraction?

  • Types of Data

  • Raw and Processed Data

  • Data Wrangling

  • Exploratory Data Analysis

  • Visualization of Data

Hands-on:

  • Loading different types of dataset in Python

  • Arranging the data

  • Plotting the graphs

Skills You will Learn:

  • Data Preparation

  • Data Visualization

Topics:

  • Python Revision (numpy, Pandas, scikit learn, matplotlib)

  • What is Machine Learning?

  • Machine Learning Use-Cases

  • Machine Learning Process Flow

  • Machine Learning Categories

  • Linear regression

  • Gradient descent

 Hands-on:

  • Linear Regression – Using Boston Dataset

Skills You will Learn:

  • Linear Regression Implementation

  • Machine Learning concepts

  • Machine Learning types

Topics:

  • What is Classification and its use cases?

  • What is a Decision Tree?

  • Algorithm for Decision Tree Induction

  • Creating a Perfect Decision Tree

  • Confusion Matrix

  • What is Random Forest?

Hands-on:

  • Implementation of Logistic regression, Decision tree, Random forest

Skills You will Learn:

  • Supervised Learning concepts

  • Implementing different types of Supervised Learning algorithms

  • Evaluating model output

Topics:

  • Introduction to Dimensionality

  • Why Dimensionality Reduction?

  • PCA

  • Factor Analysis

  • Scaling dimensional model

  • LDA

Hands-on:

  • PCA

  • Scaling

Skills You will Learn:

  • Implementing Dimensionality Reduction Technique

Topics:

  • What is Naïve Bayes?

  • How Naïve Bayes works?

  • Implementing Naïve Bayes Classifier

  • What is a Support Vector Machine?

  • Illustrate how Support Vector Machine works?

  • Hyperparameter optimization

  • Grid Search vs Random Search

  • Implementation of Support Vector Machine for Classification

Hands-on:

  • Implementation of Naïve Bayes, SVM

Skills You will Learn:

  • Supervised Learning concepts

  • Implementing different types of Supervised Learning algorithms

  • Evaluating model output

Topics:

  • What is Clustering & its Use Cases?

  • What is K-means Clustering?

  • How does the K-means algorithm work?

  • How to do optimal clustering?

  • What is C-means Clustering?

  • What is Hierarchical Clustering?

  • How Hierarchical Clustering works?

Hands-on:

  • Implementing K-means Clustering

  • Implementing Hierarchical Clustering

Skills You will Learn:

  • Unsupervised Learning

  • Implementation of Clustering – various types

Topics:

  • What are Association Rules?

  • Association Rule Parameters

  • Calculating Association Rule Parameters

  • Recommendation Engines

  • How Recommendation Engines work?

  • Collaborative Filtering

  • Content Based Filtering

Hands-on:

  • Apriori Algorithm

  • Market Basket Analysis

Skills You will Learn:

  • Data Mining using python

  • Recommender Systems using Python

Topics:

  • What is Reinforcement Learning?

  • Why Reinforcement Learning?

  • Elements of Reinforcement Learning

  • Exploration vs Exploitation dilemma

  • Epsilon Greedy Algorithm

  • Markov Decision Process (MDP)

  • Q values and V values

  • Q values and V values

  • α values

Hands-on:

  • Calculating Reward

  • Discounted Reward

  • Calculating Optimal quantities

  • Implementing Q Learning

  • Setting up an Optimal Action

Skills You will Learn:

  • Implement Reinforcement Learning using Python

  • Developing Q Learning model in Python

Topics:

  • What is Time Series Analysis?

  • Importance of TSA

  • Components of TSA

  • White Noise

  • AR model

  • MA model

  • ARMA model

  • ARIMA model

  • Stationarity

  • ACF & PACF

Hands-on:

  • Checking Stationarity

  • Converting a non-stationary data to stationary

  • Implementing Dickey Fuller Test

  • Plot ACF and PACF

  • Generating the ARIMA plot

  • TSA Forecasting

 Skills You will Learn:

  • TSA in Python

Topics:

  • What is Model Selection?

  • Need of Model Selection

  • Cross – Validation

  • What is Boosting?

  • How Boosting Algorithms work?

  • Types of Boosting Algorithms

  • Adaptive Boosting

Hands-on:

  • Cross Validation

  • AdaBoost

 Skills You will Learn:

  • Model Selection

  • Boosting algorithm using python

Topics:

  • Predict the species of Plant

Hands-on:

  • Analyze the data

  • Predict the plant species

Skills You will Learn:

  • Data Pre-processing

  • Feature Engineering

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Certification

To obtain the CertHippo Python Machine Learning Python course completion certificate, you must meet the following requirements.

  • Completely participate in this Machine Learning Certification Course.

  • Evaluation and completion of the quizzes and projects listed.

  • You must complete the course and earn a minimum score of 80% in the assessment

Machine learning is a prominent and rapidly expanding field in computer science. It is always expanding and growing, and it may be used for a variety of businesses, including shipping and fulfilment as well as medical sciences. Machine learning engineers build artificial intelligence to improve pattern recognition and issue solving. It is a highly sought-after professional path, yet it can be quite competitive. Machine learning engineers that want to get certified may set themselves apart from the competitors by attending boot camps, submitting code repositories, and gaining hands-on experience.

The most in-demand technology is machine learning. Before beginning certification training, beginners should become acquainted with the fundamentals of Machine Learning. Machine Learning principles and approaches may be better understood with the aid of CertHippo free articles and YouTube videos.

Machine Learning is widely used because of its broad range of applications; with a solid understanding of machine learning, many issues may be handled more quickly and efficiently. The demand for Machine Learning Python training is increasing, and there are several lucrative career opportunities and positions available in IT businesses, making this an excellent moment for individuals to enroll and gain certification. Because of the numerous career opportunities and possibilities, studying Machine Learning abilities and getting started right immediately is also strongly advised.

Our Python Machine Learning with Python Certification Course is designed to help applicants build skills and assess their knowledge. After completing this certification, you will have access to a wide range of work opportunities. Machine Learning Engineer, Machine Learning Developer, Machine Learning Software Architect, Applied Machine Learning Engineer, Data Scientist, AI engineer, and others are some of the most essential job titles.

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Online Training FAQs

Machine learning is an Artificial Intelligence solution that allows systems to concurrently learn from past events and then improve on them without being explicitly coded. It entails detecting trends in data, obtaining pertinent information, and making educated decisions to better any organization's future. Machine learning makes it easier to analyze enormous amounts of data. It often produces faster and more exact findings, which can lead to financial gains and new prospects. Nowadays, machine learning is employed in almost every field, including medical diagnosis, face recognition, and weather forecasting. It can be beneficial in circumstances where pattern recognition and prediction are required. When used in new sectors and niches, machine learning may frequently be disruptive. Machine learning engineers can discover new uses for machine learning technology to assist improve and automate existing operations. With the correct data, this system can detect exceedingly complicated patterns and make highly accurate predictions. This Machine Learning with Python Course will go through everything in greater depth.

CertHippo will issue you a Data Scientist with Python competency certificate once you have completed the Machine Learning with Python course.

Python is a basic and easy to learn programming language. As a result, Machine Learning using Python is one of the most sought-after talents. It's simple to use and has a straightforward syntax that both experienced developers and beginning students can understand. Because Python is so simple, developers can focus their efforts on addressing the Machine Learning challenge rather than wasting time. It is not required to comprehend all of the technical details. Python is also a very efficient programming language. It enables developers to achieve more with fewer lines of code. Python code is simple for humans to understand, making it perfect for developing Machine Learning models. What's not to love about all of these advantages? You'll enjoy it!

Definitely, some coding abilities are required for Machine Learning. This Python Machine Learning with ML course will go through OOPs fundamentals, data structures, and algorithms. Python, C++, and Java are the most common programming languages for Machine Learning.

The Machine Learning with Python course will provide you with a comprehensive understanding of Machine Learning approaches, preparing you to excel in your future career as a Machine Learning Engineer. CertHippo Machine Learning with Python certification can certify your new abilities and on-the-job knowledge.

You will be working on projects as you progress through the course. Following that, CertHippo will certify you as a Data Scientist with Python expertise.

CertHippo professors are all industry practitioners with at least 10-12 years of relevant IT experience. These are subject matter experts who have been educated by CertHippo to provide participants in CertHippo top machine learning course with an amazing learning experience.

This Machine Learning with Python certification course was created by subject matter specialists who understand the most in-demand skills among companies. Machine Learning, regression, time series modeling, clustering, classification, and Deep Learning fundamentals are thoroughly addressed, allowing you to launch a career in this sector.

You can give us a CALL at +1 302 956 2015 (US) OR email at info@certhippo.com

There are three forms of machine learning: supervised learning, unsupervised learning, and reinforcement learning.

This ML Certification course is simple to follow and allows you to combine academic and practical understanding of machine learning. The ML with Python certification course is best suited for people who have prior understanding of Data Analysis Foundations and Mathematics. Python expertise would be more beneficial.

Artificial intelligence (AI) is a technology that enables a machine to mimic human behavior's. Machine Learning, on the other hand, is a subset of AI that allows the computer to learn from prior data without explicitly programming it.

Healthcare, transportation, banking, retail, agriculture, and customer service are the most common industries that apply Machine Learning. By taking the appropriate Machine Learning certification course, one may easily obtain positions in these areas and have a very rewarding future ahead of them.

We have shortlisted below some of the best Machine Learning courses one can go for.

  • Machine Learning A-Z

  • Machine Learning, Data Science, and Deep Learning with Python

  • Machine Learning with Javascript

  • Intro to Machine Learning with PyTorch

  • Intro to Machine Learning for Coders

  • Advanced Machine learning Specialization

The most in-demand technology is machine learning. Before beginning certification training, beginners should become acquainted with the fundamentals of Machine Learning. Free articles and YouTube videos from CertHippo can help you grasp Machine Learning principles and techniques.

Amazon Web Services, MathWorks, Databricks, Dataiku, RapidMiner, SAS, Google Cloud, IBM, Microsoft Azure, and TIBCO are among the companies that recruit Certified Machine Learning Engineers.

A Machine Learning Certification can help you gain the information and training you need to further your career in Machine Learning and cope with Machine Learning issues.

Some of the top job roles in the field of Machine Learning are 

  • Data Scientist

  • Machine Learning Engineer

  • NLP Scientist

  • Computer Vision Engineer

  • Data Architect

CertHippo best Machine Learning course gives you all the necessary skills to become eligible for such roles

You will never miss a lecture at Certhippo! You can choose either of the two options:

  • View the recorded session of the class available in your LMS.

  • You can attend the missed session, in any other live batch.

Machine-Learning engineers are in charge of developing programmers and algorithms that allow machines to function autonomously.

You can refer to the below books while taking our course: 

  1. A Programmer's Guide to Data Mining by Ron Zacharski. 

  2. An Introduction to Statistical Learning With Applications in R by Gareth James Daniela Witten, Trevor Hastie, and Robert Tibshirani. 

  3. Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville. 

  4. Deep Learning with Python by Francois Chollet.

Statistics, basic programming, fundamental mathematics, neural networks, data modeling, natural language processing, ML tools and libraries, and other skills are required of a Machine Learning Engineer. Our Machine Learning with Python course will provide you with all of these abilities and prepare you for a career.

To maintain the Quality Standards, we have a restricted number of participants in a live machine learning session using Python. As a result, without enrolment, it is not possible to participate in a live class. But, you may listen to a sample class recording to get a sense of how the lessons are run, the quality of the teachers, and the degree of engagement in a class.

Machine learning is a prominent and rapidly expanding field in computer science. It is always expanding and growing, and it may be used for a variety of businesses, including shipping and fulfillment and medical sciences. Machine learning engineers develop artificial intelligence to improve pattern recognition and issue solving. It is a highly desired professional path, yet it may be quite competitive. Machine learning engineers that want to get certified may stand out from the crowd by attending boot camps, submitting code repositories, and gaining hands-on experience.

Agreed, 6 weeks is a reasonable amount of time to study Machine Learning with Python. To begin, you will learn Python in depth, as well as a few topics in Machine Learning. Finally, you will be working on a live project to hone your abilities.

In conclusion, you will also acquire a Machine Learning Certification to add to your CV.

Machine Learning was invented in 1943 by Walter Pitts and neurologist Warren McCulloch. They initially attempted to think about the mechanisms of decision-making in human cognition.

There are various topics covered in this Machine Learning Training Course. The major headlines are listed below:

  •  Python Programming

  •  Data Analysis and Visualization

  •  Supervised and Unsupervised Machine Learning

  •  Recommender System using Python

  •  Time Series Modelling

  •  Statistical Foundations

Machine Learning is an AI application. Deep Learning, Machine Learning, and other applications fall under the umbrella of AI.

Machine Learning employs data to assist a machine in learning without human intervention. The system gains autonomy as a result of this. Machine Learning with Python is one of the greatest pairings for improving your abilities and being more efficient.

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Course Description

About the Machine Learning with Python Training

CertHippo Machine Learning Certification Training with Python is intended to help you grasp Machine Learning principles. This Machine Learning Certification will equip you with a comprehensive grasp of Machine Learning and its mechanisms. As a Data Scientist, you will learn about the relevance of Machine Learning and how to implement it in Python. Additionally, you will be taught Reinforcement Learning in this Machine Learning with Python Course, which is an important part of Artificial Intelligence. With Machine Learning Algorithms, you will be able to automate real-life events. To enrich your learning experience, we will explore numerous practical use cases of Machine Learning with Python programming language at the end of this Machine Learning online course.CertHippo provides the best Machine Learning Training online for students looking to excel in Python. Enroll in CertHippo online Machine Learning Certification now to receive training from industry professionals.

Why Learn Machine Learning with Python?

Data Science is a set of approaches that allows computers to learn desired behavior's from data without being explicitly programmed. It applies techniques and theories from a variety of sciences, including mathematics, statistics, information science, and computer science. This Machine Learning Certification course introduces you to many types of machine learning algorithms, including supervised, unsupervised, and reinforcement learning methods. This ML Training provides you with the required skills such as data pre-processing, dimensional reduction, and model assessment, as well as exposure to various machine learning techniques such as regression, clustering, decision trees, random forest, Naive Bayes, and Q-Learning.

What are the objectives of our Machine Learning Certification Training?

After completing this Machine Learning Training using Python, you should be able to:

  • Gain insight into the 'Roles' played by a Machine Learning Engineer

  • Automate data analysis using python

  • Describe Machine Learning

  • Work with real-time data

  • Learn tools and techniques for predictive modeling

  • Discuss Machine Learning algorithms and their implementation

  • Validate Machine Learning algorithms

  • Explain Time Series and it’s related concepts

  • Gain expertise to handle business in future, living the present

Who should go for this Machine Learning Python online Training?

CertHippo Machine Learning with Python Course is a good fit for the below professionals:

  • Developers aspiring to be a ‘Machine Learning Engineer'

  • Analytics Managers who are leading a team of analysts

  • Business Analysts who want to understand Machine Learning (ML) Techniques

  • Information Architects who want to gain expertise in Predictive Analytics

  • 'Python' professionals who want to design automatic predictive models

What are the prerequisites for this Machine Learning with Python Certification Training ?

Development expertise with Python is required for the Machine Learning Python Training. Foundations of Data Analysis performed using data analysis programmers such as SAS/R will be advantageous. Nonetheless, Python would be preferable. When you join the Machine Learning online course, you will receive a complementary "Python Statistics for Data Science Course" as a self-paced course.

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Selenium Certification

To obtain the CertHippo Python Machine Learning Python course completion certificate, you must meet the following requirements.

  • Completely participate in this Machine Learning Certification Course.

  • Evaluation and completion of the quizzes and projects listed.

  • You must complete the course and earn a minimum score of 80% in the assessment

Machine learning is a prominent and rapidly expanding field in computer science. It is always expanding and growing, and it may be used for a variety of businesses, including shipping and fulfilment as well as medical sciences. Machine learning engineers build artificial intelligence to improve pattern recognition and issue solving. It is a highly sought-after professional path, yet it can be quite competitive. Machine learning engineers that want to get certified may set themselves apart from the competitors by attending boot camps, submitting code repositories, and gaining hands-on experience.

The most in-demand technology is machine learning. Before beginning certification training, beginners should become acquainted with the fundamentals of Machine Learning. Machine Learning principles and approaches may be better understood with the aid of CertHippo free articles and YouTube videos.

Machine Learning is widely used because of its broad range of applications; with a solid understanding of machine learning, many issues may be handled more quickly and efficiently. The demand for Machine Learning Python training is increasing, and there are several lucrative career opportunities and positions available in IT businesses, making this an excellent moment for individuals to enroll and gain certification. Because of the numerous career opportunities and possibilities, studying Machine Learning abilities and getting started right immediately is also strongly advised.

Our Python Machine Learning with Python Certification Course is designed to help applicants build skills and assess their knowledge. After completing this certification, you will have access to a wide range of work opportunities. Machine Learning Engineer, Machine Learning Developer, Machine Learning Software Architect, Applied Machine Learning Engineer, Data Scientist, AI engineer, and others are some of the most essential job titles.

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