Machine Learning
.png)
Clustering Bundle
What you'll Learn
-
Fundamental understanding of Machine Learning.
-
Basics of Clustering.
-
Extensive knowledge of DBSCAN, K-means, Hierarchical & Expectation Maximize​.
-
Ability to identify and develop Logic for different problem statements.
-
Solving real-world problems with hands on projects.
Requirements
-
Computer with good Internet connectivity.
-
Basic understanding of python programming.
-
Knowledge of functional programming and data structure is preferred.
-
Consistency.
This course is a part of live training.
Course Features
✔ Duration: 10 Days.
✔ Online live sessions.
✔ 60 minutes daily sessions.
✔ Exhaustive Study materials.
✔ 1:1 live mentorship.
✔ Free Career Counselling.
✔ Mock interview.
✔ Interview Questions.
✔ Completion Certificate.
Classification Bundle
What you'll Learn
-
Fundamental understanding of Machine Learning.
-
Basics of Classification Algorithms.
-
Extensive knowledge of Logistic Regression, Decision Tree Classifier, XGBoost Classifier, Random Forest Classifier & Random Forest Classifier.
-
Ability to identify and develop Logic for different problem statements.
-
Solving real-world problems with hands on projects.
Requirements
-
Computer with good Internet connectivity.
-
Basic understanding of python programming.
-
Knowledge of functional programming and data structure is preferred.
-
Consistency.
This course is a part of live training.
Course Features
✔ Duration: 15 Days.
✔ Online live sessions.
✔ 60 minutes daily sessions.
✔ Exhaustive Study materials.
✔ 1:1 live mentorship.
✔ Free Career Counselling.
✔ Mock interview.
✔ Interview Questions.
✔ Completion Certificate.
Regression Bundle
What you'll Learn
-
Fundamental understanding of Machine Learning.
-
Basics of Regression.
-
Extensive knowledge of Linear Regression, Decision Tree Regression, XGBoost Regression, Random Forest Regression & Evaluation Metrics.
-
Ability to identify and develop Logic for different problem statements.
-
Solving real-world problems with hands on projects.
Requirements
-
Computer with good Internet connectivity.
-
Basic understanding of python programming.
-
Knowledge of functional programming and data structure is preferred.
-
Consistency.
This course is a part of live training.
Course Features
✔ Duration: 15 Days.
✔ Online live sessions.
✔ 60 minutes daily sessions.
✔ Exhaustive Study materials.
✔ 1:1 live mentorship.
✔ Free Career Counselling.
✔ Mock interview.
✔ Interview Questions.
✔ Completion Certificate.
-
Study roadmaps for the Machine learning module.
-
Vast resource links for deeper understanding.
-
Cheatsheets designed by lead data analysts and data scientists.
Requirements
-
Basic understanding of python programming.
-
Knowledge of functional programming and data structure is preferred.
-
Consistency.
This course is a part of live training.
Course Features
✔ Exhaustive Study materials.
✔ 1 Project Assistance.
✔ Interview Questions.
What you'll get?
-
Interview roadmaps for the Machine learning module.
-
Mock interviews with leading data analysts and data scientists.
-
Vast resource for deeper understanding of the interview process.
-
Data modelling questions.
Requirements
-
Basic understanding of python programming.
-
Knowledge of functional programming and data structure is preferred.
-
Consistency.
This course is a part of live training.
Course Features
✔ 4 mock interviews.
✔ Practical Modelling questions.
✔ Interview Questions.
This course is a part of live training.
What is it?
-
Our most advanced program with the best industrial professional to help transition from analyst to data scientist.
-
Over 2 months of extensive training with trackers to track your progress.
-
Best recommended program for Analysts who are interested in upgrading themselves to Data scientists.
-
1:1 live mentorship with Job preparations and assistance to get a good hike from your current job.
-
Ability to perform data analysis, and machine learning algorithms with hands-on projects.
-
Solving real-world problems using data and case studies.
Requirements
-
Computer with good Internet connectivity.
-
Basic understanding of python programming.
-
Knowledge of functional programming and data structure is preferred.
-
Consistency.
FAQs
What do we do at Career Trek that makes us so good at teaching than others?
At Career Trek, we have a team of experienced industry professionals who have a passion for teaching and have expertise in the field of data science. Our teaching approach is highly practical, with a focus on hands-on projects, case studies, and real-world applications. We also believe in a personalized approach to teaching, where we tailor the learning experience to fit each student's needs and learning style.
What is the general duration of our course?
The duration of our courses varies depending on the program you choose. Our programs range from a few weeks to a few months, depending on the depth and breadth of the content.
We carefully select mentors who have experience in the data science industry and are passionate about teaching. Each mentor is assigned to a small group of students, and they provide personalized guidance, feedback, and support throughout the course.
Do I need any Coding Experience or IT Background for your courses?
No, we do not require any coding experience or IT background for our courses. We start from the basics and gradually build up the knowledge required for data science. However, having some knowledge of programming concepts and statistics can be helpful.
Is there a Demo lecture video where I can see how the course is?
How to access the course content after the purchase?
Once you purchase the course, you will receive a call from us within 3 hours, where we'll guide you on how to access all the course materials, including videos, notes, assignments, and projects.
Do you also provide Placements?
While we do not guarantee placements, we do provide career support services such as resume building, interview preparation, and networking opportunities. We also have partnerships with companies in the data science industry, and we inform our students about any job openings we hear about. Our success rate of candidates getting placed who have taken the Data Science career transition program is 95% so you don't have to worry about not getting placed.
Is this a one-time payment or a monthly subscription?
Do you have a refund policy?
Yes, we have a refund policy. You can check our refund policy here before buying any courses.
What is the method of Learning?
​Our courses are designed to be highly interactive, with a combination of lectures, live coding sessions, projects, quizzes, and assignments. Our instructors use a variety of teaching methods to cater to different learning styles and ensure that students understand the concepts thoroughly.