The machine learning course is the perfect one for data analysts, junior data scientist, and python engineers who want to develop ML project experience, learn various industry use cases, and become a data scientist.
The machine learning course is the perfect one for data analysts, junior data scientists, and Python engineers who want to develop ML project experience, learn various industry use cases, and become data scientists.
It teaches core ML algorithms and methodologies in a practical way. Students will be ready for data scientist and junior machine learning engineer roles after completing this course.
Course Highlights
Hands-on practice
Case-based learning
ML portfolio building
About the Course
This course can be taken as a part of WeCloudData’s Data Science Bootcamp. It teaches you the practical knowledge and problem-solving skills you need to excel in a data scientist role. It focuses on case-based learning and project building.
What you will learn
Mathematics for ML
Classical Machine Learning algorithms
Feature Engineering and Selection
ML Pipelines
7+ ML industry use cases
How to build end-to-end ML projects
Case-based learning with real-life datasets
Sales Prediction
Customer Analytics (Acquisition/Churn/Segmentation)
Audience Expansion and Look-alike Models
Supply Chain: Demand Forecasting
Competitive Intelligence
Sentiment Analysis
Credit Risk Modeling
Fraud Analytics
WeCloudData is the leading data science and AI academy. Our blended learning courses have helped thousands of learners and many enterprises make successful leaps in their data journeys
WeCloudData is a learning academy that focuses on providing the best quality data and AI training to our students and corporate clients. In order to achieve our vision, we not only created a data skills training school that is recognized as the best training school in the data and AI category but also created our consultancy and career services branches to support our students.
In the next 10 years, we want to influence millions of learners and bring positive changes to the future of work through our relentless efforts on delivering the best learning experience, innovation in technology, and creating the environment for work-integrated learning.
We are the best at what we do, and we are striving to create the standards to push the industry forward.
We Focus On Project-based Learning
Our curriculum design committee (made up of experienced data scientists from startups and tech firms) ensures that real-world project experiences are built into each course. We cover the most in-depth knowledge and relevant skills that are actually required by the job market. We want to help our learners develop the highly in-demand data skills and experience of both today and tomorrow.
We Believe In Technology Investment
WeCloudData is more than a training academy. We are a startup that leverages the most cutting-edge data and AI technology to power our learners' experiences. We know the industry's demands and trends very well, and that's why we are so confident in our teaching. We believe our ed-tech products will power the future of learning and work.
We Truly Care About Our Students
We understand the challenges of job hunting and career transformation, and we’re committed to helping each and every student gain the knowledge, skills, and experience that will help them get a job offer and launch a successful career.
Our Vision
WeCloudData believes that the future of work is going to be very different from what we’re used to today, whether it be the gig economy or the passion economy. That also requires a very different kind of training and learning experience.
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This course gives you the opportunity to develop a broad understanding of machine learning, with no technical coding or programming knowledge required.
Explore the concepts of Machine Learning and understand how it’s transforming the digital world.
This course covers the fundamentals of machine learning techniques ranging from various Support Vector Machines algorithms, k-means clustering, Random Forests, Collaborative filtering to recommendation systems, Mahout on Hadoop and Amazon EMR, etc.
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