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).
The course is amazing and interactive as you will learn by doing and working as a team!
The CSM training provided was excellent! The instructor discussed in detail so that everyone could understand. Would recommend this training.
I learnt a lot and it was a good course and am now in a better position to do my work better.
Alex is a fantastic trainer. I did not have much expectation from the training but I have learned a lot in the training. Not only I got to know more about Scrum and its tools but also where to use it and where not to. Alex has immense knowledge in scrum having spent more than a decade as a Scrum Professional. I would recommend everyone to register for this course who wants to know about Scrum processes & practises.
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.
Dubai is a city of immense national importance in the United Arab Emirates. It is a global city and the Middle East’s business hub. While the iconic skyscrapers in Dubai showcase a futuristic, modern city, Dubai is still deeply rooted in traditions. The city is a major center for information technology in the Middle East. If you are looking for opportunities to scale your career in the IT field, register for the data analysis using Python course in Dubai.
Python is the popular choice of programming language among top developers. Its flexibility and simplicity make it easy to use to develop both small and large applications. It is one of the fastest growing programming languages not only in Dubai but around the world. Its growing use in data analysis makes KnowledgeHut’s data analysis training using Python in Dubai a sought-after course. The online classes of this training can be conveniently taken from anywhere in the city.
A New Alternative
The data analysis using Python course in Dubai gives you a clear understanding of how Python can be used for efficient data analysis and machine learning purposes. You will learn the nuances of various Python packages, such as Pandas, Spicy, Numpy, stats model, and more. The online training will give you an insight into the different design methodologies that can be used for finding data analysis solutions. Some of the design methodologies covered in the machine learning using Python course in Dubai include parallel processing, data classification, reducing data dimensions, clustering, etc.
Some aspects of Python packages that are included in the online lessons include linear algebra operations and signal processing in Spicy and Numpy, plot configuration in Matplotlib, filtering and aggregating dataframes. The industry experts delivering the training will familiarize you with the Python toolkit and help you understand how to the toolkit can be used for interactive work, parallel computing, configuration, and customization.
Keeping Ahead of the Curve
The machine learning training using Python is a highly beneficial course for professionals who want to have a thorough understanding of the use of Python in data analysis and machine learning. At the end of this machine learning using Python course in Dubai, you will receive a course completion certificate. Web masters, IT entrepreneurs, scientists, analysts, and software developers can take their careers a notch higher with this certification.
KnowledgeHut Empowers You
The instructor-led training in the use of Python packages in data analysis and machine learning includes hands-on exercises and project work to make you adept in the concepts taught in the course. After the training, you will be able to apply these concepts successfully for your organizational needs.