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).
A good session with a great instructor who was very engaging and knowledgeable.
The experienced tutor shared a vast amount of information during the course. The overall arrangement of the workshop was good too.
Got good exposure and practical demo on how to make a self-organizing team. CST Stuart Mitchel's efforts explaining and handling queries were awesome!! I received 2 days of great training and support from the KnowledgeHut team.
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.
This city is the capital of Austria and is known for its culture, art, and history. Vienna is also steadily growing tobe a leading industrial hub, with several companies setting base in the city. The city hasinnumerable opportunities for individuals who have been trained by KnowledgeHut inData Analy-sis using Python course in Vienna.
In order for any business tobe successful, a procedure that is essential is data analysis. A widely used programming language in data analysis is Python. And understanding this is necessary if you want to make a mark in the industry. Preferred over languages such as C++ and JAVA, Python ishighly used thanks to its simple comprehension and simple syntax.
About the Machine Learning using Python course in Vienna
Allowing you to perform programming on small and large scales, Python is a widely used pro-gramming language in data analytics. Its easy readability makes it one of the most-used languages today.
The history of Python, and its need is explored through the course. The coaching offered to the students covers aspects of data analysis including design methodologies, Matplotlib, Scipy and Numpy, Pandas, iPython toolkits, Scikit-learn and Pythonin Hadoop ecosystem.
The Machine Learning using Python course in Vienna, is available at a great price. Python not only makes data analysis more efficient, but it also creates several applications and helps develop search-engines.
What The Course Entails
The Machine Learning training using Python is expert-designed and is led by instructors that are the best in the industry. At the end of the course, the student willbean expert in Python, and willhave a huge scope in the industry.
Keeping Ahead of the Curve
The Data Analysis using Python course in Vienna is open to programmers, web masters, scien-tists, professional software developers, analysts and even entrepreneurs, and any professional orstudent, who is enthusiastic about a career in data analytics.
KnowledgeHut Empowers You
The training given by KnowledgeHutis offered at the best price thus, ensuring that the training is a worthwhile experience. The Data Analysis training using Python in Vienna not only helps you mas-ter Python in theory but also helps you apply the same to the scenarios at work. The course gives you an edge over your peers and colleagues, thus helping you succeed professionally.