New CoursePython Machine Learning Certification Training

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New CoursePython Machine Learning Certification Training

EduCerts 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.

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

Lifetime Access

24x7 Support

Hands-On Project Based Learning

Industry Recognized Certification

Cloud

Course Curriculum

Introduction to Data Science

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

Data Extraction, Wrangling, & Visualization

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

Introduction to Machine Learning with Python

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

Supervised Learning - I

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

Dimensionality Reduction

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

Supervised Learning - II

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

Unsupervised Learning

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

Association Rules Mining and Recommendation Systems

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

Reinforcement Learning

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

Time Series Analysis

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

Model Selection and Boosting

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

In-Class Project

Topics:

Predict the species of Plant

Hands-on:

Analyze the data
Predict the plant species

Skills You will Learn:

Data Pre-processing
Feature Engineering

Free Career Counselling

We are happy to help you 24/7

Certification

What do I need to do to unlock CertHippo Python Machine Learning certificate?

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

Is Machine Learning a good career option?

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.

How can beginners learn Machine Learning Python?

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.

What is the value of Machine Learning with Python Certification?

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.

What are the different job roles available after Machine Learning Python Certification?

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.

Online Training FAQs

What is Machine Learning and What is it used for?

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.

Who provides the Machine Learning Certificate, and what is its validity?

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

Is Python good for Machine Learning?

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!

Does Machine Learning Training in Python require coding?

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.

How do I become a Machine Learning Engineer?

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.

How to unlock my CertHippo Machine Learning Python Certificate?

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.

Who are the instructors for machine learning Training?

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.

Will this ML with Python course help me to build a successful career in Machine Learning?

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.

What are the various types of Machine Learning?

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

Is Machine Learning Training challenging to learn?

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.

What is the difference between Machine Learning and Artificial Intelligence?

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.

What industries use Machine Learning?

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.

What are the top Machine Learning courses?

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

How do beginners learn Machine Learning?

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.

Which are the companies that hire Machine Learning Engineers?

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.

Is this Machine Learning Certification worth it?

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.

What would be my job role after getting Python Machine Learning certification?

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 role

Course Description

About the Machine Learning with Python Training

EduCerts 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. EduCerts provides the best Machine Learning Training online for students looking to excel in Python. Enroll in EduCerts 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?

EduCerts 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.