Comprehensive Course on Classification Modeling in Machine Learning: Most Searched

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Classification Modeling in Machine Learning Course Overview

Classification Modeling in Machine Learning is a predictive modeling concept used extensively for its ability to categorize unknown data into distinct classes. It's all about predicting the target category within a set of predefined classes. Industries use this model for various applications like spam detection, credit approval, medical diagnosis, and customer churn prediction, to name a few. It is used to enhance decision-making processes, improve customer experience, and drive efficiency. This is achieved through algorithms that include decision trees, naive bayes, and neural networks, among others, which categorize or "classify" data based on learned patterns.


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Get 1-on-1 session with our expert trainers at a date & time of your convenience.

Flexible Dates

Start your session at a date of your choice-weekend & evening slots included, and reschedule if necessary.

4-Hour Sessions

Training never been so convenient- attend training sessions 4-hour long for easy learning.

Destination Training

Attend trainings at some of the most loved cities such as Dubai, London, Delhi(India), Goa, Singapore, New York and Sydney.
Live Online Training (Duration : 24 Hours)
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

1500 + If you accept merging of other students. Per Participant & excluding VAT/GST
4 Hours
8 Hours
Week Days

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
1200 Per Participant & excluding VAT/GST
11 - 13 Dec
09:00 AM - 05:00 PM CST
(8 Hours/Day)
15 - 17 Jan
09:00 AM - 05:00 PM CST
(8 Hours/Day)
+ If you accept merging of other students.
Course Prerequisites
• Proficiency in programming languages like Python, Java
• Mastery in Statistics and Probability
• Understanding of Machine Learning Algorithms
• Knowledge of Data Analysis and Visualization tools
• Expertise in software engineering and system design
• Familiarity with Database Management Systems.
• Basic knowledge of Calculus and Linear Algebra.

Classification Modeling in Machine Learning Certification Training Overview

Classification Modeling in Machine Learning certification training provides foundational knowledge and skills to create algorithms that can categorize data into specific classes. Topics covered include supervised and unsupervised learning, decision trees, random forest, logistic regression, Naïve Bayes, K-Nearest Neighbors (KNN), and support vector machines (SVM). Training emphasizes mastery of analytical techniques and proficiency in Python or R programming languages to build and test robust and versatile classification models.

Why Should You Learn Classification Modeling in Machine Learning?

Learning Classification Modeling in a Machine Learning course provides analytical proficiency, enabling one to sort data into categories for better predictions and decision-making. It reveals patterns and trends that might go unnoticed, enhancing data interpretation within various applications such as fraud detection, image recognition, and customer retention.

Target Audience for Classification Modeling in Machine Learning Certification Training

• Data Scientists
• Machine Learning Enthusiasts
• AI Engineers
• Data Analysts
• IT Professionals
• Software Developers
• Statisticians
• Students pursuing computer science
• Tech Entrepreneurs
• Research Scholars in AI and ML field

Why Choose Koenig for Classification Modeling in Machine Learning Certification Training?

- Access to certified instructors with specialized knowledge in Classification Modeling.
- The opportunity to significantly boost your career prospects in the burgeoning field of Machine Learning.
- Tailored training programs designed to suit individual's unique learning pace and requirements.
- Option for destination training with travel and learning combined.
- Affordable pricing that gives access to quality education without over-stressing one's finances.
- Acknowledged as one of the top training institutes globally.
- Provision of flexible dates to facilitate convenient scheduling for learners.
- Instructor-led online training for comprehensive and interactive learning.
- Wide-ranging courses covering all aspects of Machine Learning, from basics to advanced topics.
- Offers accredited training acknowledged by respective authorities in the field of Machine Learning.

Classification Modeling in Machine Learning Skills Measured

After completing a Classification Modeling in Machine Learning certification training, an individual can gain numerous skills. These include understanding the concepts of machine learning and classification models, building robust classification models, evaluating and optimizing these models. They can also master various classification algorithms like logistic regression, decision trees, random forest, Naive Bayes, etc. They are able to gain skills in data preprocessing, feature selection and also learn to work with different data types. They can further learn to implement these skills using programming languages like Python or R.

Top Companies Hiring Classification Modeling in Machine Learning Certified Professionals

Major companies hiring Classification Modeling in Machine Learning certified professionals include Microsoft, Google, Amazon, IBM, Facebook and Apple. These tech giants continually search for skilled talent to develop and utilize machine learning models for data analysis and predictive purposes. LinkedIn, Netflix and Twitter are also prominent employers in this area.

Learning Objectives - What you will Learn in this Classification Modeling in Machine Learning Course?

The learning objectives of the Classification Modeling in Machine Learning course include understanding the concept and application of classification models in machine learning. Participants will learn how to develop, implement, and evaluate various classification algorithms such as logistic regression, decision trees, and random forests. They will gain knowledge on how to handle imbalanced datasets and strategies to improve model performance. They will also be taught to use relevant programming tools and machine learning libraries to build and fine-tune these models. The course aims to enhance their practical skills in dealing with real-world machine learning problems.


Yes, fee excludes local taxes.
Yes, we do.
The Fee includes:
  • Remote Labs
Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.
In 1 on 1 Public you can select your own schedule, other students can be merged. Choose 1-on-1 if published schedule doesn't meet your requirement. If you want a private session, opt for 1-on-1 Private.
Duration of Ultra-Fast Track is 50% of the duration of the Standard Track. Yes(course content is same).
1-on-1 Public - Select your start date. Other students can be merged. 1-on-1 Private - Select your start date. You will be the only student in the class.
Yes, course requiring practical include hands-on labs.
You can buy online from the page by clicking on "Buy Now". You can view alternate payment method on payment options page.
Yes, you can pay from the course page and flexi page.
Yes, the site is secure by utilizing Secure Sockets Layer (SSL) Technology. SSL technology enables the encryption of sensitive information during online transactions. We use the highest assurance SSL/TLS certificate, which ensures that no unauthorized person can get to your sensitive payment data over the web.
We use the best standards in Internet security. Any data retained is not shared with third parties.
You can request a refund if you do not wish to enroll in the course.
To receive an acknowledgment of your online payment, you should have a valid email address. At the point when you enter your name, Visa, and other data, you have the option of entering your email address. Would it be a good idea for you to decide to enter your email address, confirmation of your payment will be emailed to you.
After you submit your payment, you will land on the payment confirmation screen. It contains your payment confirmation message. You will likewise get a confirmation email after your transaction is submitted.
We do accept all major credit cards from Visa, Mastercard, American Express, and Discover.
Credit card transactions normally take 48 hours to settle. Approval is given right away; however, it takes 48 hours for the money to be moved.
Yes, we do accept partial payments, you may use one payment method for part of the transaction and another payment method for other parts of the transaction.
Yes, if we have an office in your city.
Yes, we do offer corporate training More details
Yes, we do.
Yes, we also offer weekend classes.
Yes, Koenig follows a BYOL(Bring Your Own Laptop) policy.
It is recommended but not mandatory. Being acquainted with the basic course material will enable you and the trainer to move at a desired pace during classes. You can access courseware for most vendors.
Yes, this is our official email address which we use if a recipient is not able to receive emails from our email address.
Buy-Now. Pay-Later option is available using credit card in USA and India only.
You will receive the letter of course attendance post training completion via learning enhancement tool after registration.
Yes you can.
Yes, we do. For details go to flexi
You can pay through debit/credit card or bank wire transfer.
Dubai, London, Sydney, Singapore, New York, Delhi, Goa, Bangalore, Chennai and Gurugram.
Yes you can request your customer experience manager for the same.
Yes of course. 100% refund if training not upto your satisfaction.

Prices & Payments

Yes of course.
Yes, We are

Travel and Visa

Yes we do after your registration for course.

Food and Beverages



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