Transformational advancements in technology in today’s world are making it possible for data scientists to develop machines that think for themselves. Based on complex algorithms that can glean information from data, today’s computers can use neural networks to mimic human brains, and make informed decisions based on the most likely scenarios. The immense possibilities that machine learning can unlock are fascinating, and with data exploding across all fields, it appears that in the near future Machine Learning will be the only viable alternative simply because there is nothing quite like it!
Do you want to build systems that learn from experience? Or exploit data to create simple predictive models of the world? KnowledgeHut’s comprehensive course will help you go from basic to advanced concepts in Machine Learning using Python, the most popular language in the Data Science space. You'll learn about Supervised vs Unsupervised Learning, look into how Statistical Modeling relates to Machine Learning, and do a comparison of each using Python libraries. You will work on real life case studies to get hands-on experience and learn Machine Learning techniques to build predictive models.
A career in Machine Learning is much sought after because it defines and shapes the future. Sign up for this comprehensive course and learn from industry experts who will handhold you through your learning journey.
Understand the behavior of data as you build significant models
Learn about the various libraries offered by Python to manipulate, preprocess and visualize data
Learn about Supervised and Unsupervised Machine Learning.
Learn to use optimization techniques to find the minimum error in your machine learning model
Learn various machine learning algorithms like KNN, Decision Trees, SVM, Clustering in detail
Learn the technique to reduce the number of variables using Feature Selection and Feature Extraction
Understand Neural Network and apply them to classify image and perform sentiment analysis
Learn to use multiple learning algorithms to obtain better predictive performance
3 Months FREE Access to all our E-learning courses when you buy any course with us
Interact with instructors in real-time— listen, learn, question and apply. Our instructors are industry experts and deliver hands-on learning.
Our courseware is always current and updated with the latest tech advancements. Stay globally relevant and empower yourself with the training.
Learn theory backed by practical case studies, exercises and coding practice. Get skills and knowledge that can be effectively applied.
Learn from the best in the field. Our mentors are all experienced professionals in the fields they teach.
Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.
Get reviews and feedback on your final projects from professional developers.
Hands-on: No hands-on
Hands-on: No hands-on
Hands-on: No hands-on
With attributes describing various aspects of residential homes, you are required to build a regression model to predict the property prices using optimization techniques like gradient descent.
This dataset classifies people described by a set of attributes as good or bad credit risks. Using logistic regression, build a model to predict good or bad customers to help the bank decide on granting loans to its customers.
Biodegradation is one of the major processes that determine the fate of chemicals in the environment. This Data set contains 41 attributes (molecular descriptors) to classify 1055 chemicals into 2 classes - biodegradable and non-biodegradable. Build Models to study the relationships between chemical structure and biodegradation of molecules and correctly classify if a chemical is biodegradable
In marketing, if you’re trying to talk to everybody, you’re not reaching anybody. This dataset has social posts of teen students. Based on this data, use K-Means clustering to group teen students into segments for targeted marketing campaigns.
Wine comes in various types. With the ingredient composition known, we can build a model to predict the Wine Quality using Decision Tree (Regression Trees).
An informative course with good practical exercises.
The training met all my expectations!
Overall, a great experience!
Machine learning came into its own in the late 1990s, when data scientists hit upon the concept of training computers to think. Machine learning gives computers the capability to automatically learn from data without being explicitly programmed, and the capability of completing tasks on their own. This means in other words that these programs change their behaviour by learning from data.
Machine learning enthusiasts are today among the most sought after professionals. Learn to build incredibly smart solutions that positively impact people’s lives, and make businesses more efficient! With Payscale putting average salaries of Machine Learning engineers at $115,034, this is definitely the space you want to be in!
By the end of this course, you would have gained knowledge on the use of machine learning techniques using Python and be able to build applications models. This will help you land lucrative jobs as a Data Scientist.
There are no restrictions but participants would benefit if they have elementary programming knowledge and familiarity with statistics.
Yes, KnowledgeHut offers this training online.
On successful completion of the course you will receive a course completion certificate issued by KnowledgeHut.
Your instructors are Machine Learning experts who have years of industry experience.
Any registration cancelled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% deduction in the refunded amount due to transactional costs applicable while refunding) Refunds will be processed within 30 days of receipt of written request for refund. Kindly go through our Refund Policy for more details : http://www.knowledgehut.com/refund
In an online classroom, students can log in at the scheduled time to a live learning environment which is led by an instructor. You can interact, communicate, view and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improves your online training experience.
Minimum Requirements: MAC OS or Windows with 8 GB RAM and i3 processor.
Abu Dhabi, the capital and the largest city in the United Arab Emirates, is a city that exhibits a mix of traditional and modern. It is an important location for trade between the east and the west. Abu Dhabi is also a financial powerhouse that is home to the headquarters of major local and global companies. You can grow your career in the city’s booming information technology sector with KnowledgeHut’s data analysis using Python course in Abu Dhabi.
Python’s simplicity and flexibility makes it one of the most popular programming languages in the information technology world around the world. Its usability in creating applications, both small and large, makes it the go-to choice for developers. KnowledgeHut’s data analysis training using Python in Abu Dhabi is an online training that familiarizes you with design methodologies that help in addressing machine learning and data analysis scenarios that make use of Python packages.
A New Alternative
The online classes of the Machine Learning training using Python are delivered by certified instructors who help you get a thorough understanding of how to build analytic applications with using Python. You will get a course completion certificate on finishing this course. The training certification of the data analysis using Python course in Abu Dhabi offered by KnowledgeHut will have a great impact on your IT career. After this training, you will be aware of advanced algorithms and data structures available in various Python packages, including Numpy, Pandas, and Spicy. You will be able to successfully create clusters and classifiers. You will also learn strategies that you can use to reduce dimensions and to select the right data models.
Keeping Ahead of the Curve
The machine learning using Python course in Abu Dhabi is an ideal training for web masters, professional software developers, programmers, analysts, scientists, entrepreneurs, and anyone who wants to gain a thorough understanding of Python. The combination of hands-on, practical exercises and e-learning help reinforce the concepts covered during the training delivered by certified instructors. By the end of the machine learning using Python course in Abu Dhabi, you will not just be able to work on real machine learning scenarios using Python but also be able integrate Python with Hadoop.
KnowledgeHut Empowers You
The course offered by KnowledgeHut includes project work to test your understanding of the concepts covered online. The supervision of industry experts during the training ensures that you can successfully make practical applications of concepts in real-life scenarios. You will get end-to-end support throughout this instructor-led training.