Intellipaat’s Machine Learning course in London is designed to help you be up and running in the concepts and techniques of Machine Learning with Python, which include ML algorithms, supervised and unsupervised learning, decision tree, random forest, linear and logistic regression, probability, and statistics, through real-world hands-on projects. Get the best online Machine Learning training in London from top Data Scientists.
One of the premier e-learning institutes, Intellipaat offers an all-encompassing Machine Learning course in London. Through this course, you will be an expert in various aspects of Machine Learning, along with using Python programming language, since this course is designed for both beginners and advanced learners. Learning outcomes of this course include mastering Machine Learning with Python and learning in and out of its sub-topics like supervised and unsupervised learning, support vector machines, random forest classifiers, best practices of Machine Learning, and more. All this will be offered to you through hands-on projects and case studies.
This course by Intellipaat, one of the leading Machine Learning Institutes in London will teach you about:
This course by Intellipaat, one of the premier e-learning provider of Machine Learning courses in London can be joined by:
Anybody can join the Machine Learning classes in London regardless of the prior know-how of the technology.
Considered as the ‘fourth industrial revolution,’ advancements in Machine Learning are touching all industry verticals. As London firms have started deploying it in an unprecedented manner the recruitment of ML talents is at its peak. Also, various big players are investing in this city, which is creating a competitive market for ML professionals. Also, by having a Machine Learning certification in London will boost your chances of getting hired.Hence, Machine Learning Engineers will have a magnificent career growth in this city.
As per research, in the UK, the demand for Machine Learning expertise has almost tripled in the last few years. Therefore, job openings in this beneficial field of ML are also expanding immensely, especially in its capital city, London. Also, London is a hotbed for leading tech giants, and it remains a remarkable land for investment. The continual growth shown by this city in the field of technology has thus made corporates invest here more.
Presently, Machine Learning is one of the most crucial Artificial Intelligence domains. This technology has paved ways to simplify our day-to-day tasks, which include most sophisticated tasks such as developing self-driving cars and creating virtual personal assistants like Alexa, Siri, etc. Intellipaat’s ML training which is one of the best Machine Learning courses in London is exclusively designed for job placements, is an all-in-one training for helping aspiring professionals boost up their careers and grab top jobs in the industry.
1.1 Need of Machine Learning
1.2 Introduction to Machine Learning
1.3 Types of Machine Learning, such as supervised, unsupervised, and reinforcement learning, Machine Learning with Python, and the applications of Machine Learning
2.1 Introduction to supervised learning and the types of supervised learning, such as regression and classification
2.2 Introduction to regression
2.3 Simple linear regression
2.4 Multiple linear regression and assumptions in linear regression
2.5 Math behind linear regression
1. Implementing linear regression from scratch with Python
2. Using Python library Scikit-learn to perform simple linear regression and multiple linear regression
3. Implementing train–test split and predicting the values on the test set
3.1 Introduction to classification
3.2 Linear regression vs Logistic regression
3.3 Math behind logistic regression, detailed formulas, the logit function and odds, confusion matrix and accuracy, true positive rate, false positive rate, and threshold evaluation with ROCR
1. Implementing logistic regression from scratch with Python
2. Using Python library Scikit-learn to perform simple logistic regression and multiple logistic regression
3. Building a confusion matrix to find out accuracy, true positive rate, and false positive rate
4.1 Introduction to tree-based classification
4.2 Understanding a decision tree, impurity function, entropy, and understanding the concept of information gain for the right split of node
4.3 Understanding the concepts of information gain, impurity function, Gini index, overfitting, pruning, pre-pruning, post-pruning, and cost-complexity pruning
4.4 Introduction to ensemble techniques, bagging, and random forests and finding out the right number of trees required in a random forest
1. Implementing a decision tree from scratch in Python
2. Using Python library Scikit-learn to build a decision tree and a random forest
3. Visualizing the tree and changing the hyper-parameters in the random forest
5.1 Introduction to probabilistic classifiers
5.2 Understanding Naïve Bayes and math behind the Bayes theorem
5.3 Understanding a support vector machine (SVM)
5.4 Kernel functions in SVM and math behind SVM
1. Using Python library Scikit-learn to build a Naïve Bayes classifier and a support vector classifier
6.1 Types of unsupervised learning, such as clustering and dimensionality reduction, and types of clustering
6.2 Introduction to k-means clustering
6.3 Math behind k-means
6.4 Dimensionality reduction with PCA
1. Using Python library Scikit-learn to implement k-means clustering
2. Implementing PCA (principal component analysis) on top of a dataset
7.1 Introduction to Natural Language Processing (NLP)
7.2 Introduction to text mining
7.3 Importance and applications of text mining
7.4 How NPL works with text mining
7.5 Writing and reading to word files
7.6 Language Toolkit (NLTK) environment
7.7 Text mining: Its cleaning, pre-processing, and text classification
1. Learning Natural Language Toolkit and NLTK Corpora
2. Reading and writing .txt files from/to a local drive
3. Reading and writing .docx files from/to a local drive
8.1 Introduction to Deep Learning with neural networks
8.2 Biological neural networks vs artificial neural networks
8.3 Understanding perception learning algorithm, introduction to Deep Learning frameworks, and TensorFlow constants, variables, and place-holders
9.1 What is time series? Its techniques and applications
9.2 Time series components
9.3 Moving average, smoothing techniques, and exponential smoothing
9.4 Univariate time series models
9.5 Multivariate time series analysis
9.6 ARIMA model and time series in Python
9.7 Sentiment analysis in Python (Twitter sentiment analysis) and text analysis
1. Analyzing time series data
2. The sequence of measurements that follow a non-random order to recognize the nature of phenomenon
3. Forecasting the future values in the series
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Project 01: Analyzing the Trends of COVID-19 with Python
Problem Statement: Understanding the trends of COVID-19 spread and checking if restrictions imposed by governments around the world have helped us curb COVID-19 cases and by what degree
Topics: In this project, we will use Data Science and Python and perform visualizations to better understand the data on COVID-19. We will also use time series analysis to make predictions about future cases.
Project 02: Customer Churn Classification
Topics: This is a real-world project that gives you hands-on experience in working with most of the Machine Learning algorithms.
Project 03: Creating a Recommendation System for Movies
Topics: This is a real-world project that gives you hands-on experience in working with a movie recommender system. Depending on what movies are liked by a particular user, you will be in a position to provide data-driven recommendations. This project requires you to deeply understand information filtering, recommender systems, user ‘preference’, and more. You will exclusively work on data related to user details, movie details, and others.
Case Study 01: Decision Tree
Topics: Understand the structure of a dataset (PIMA Indians Diabetes database) and create a decision tree model based on it by using Scikit-learn
Case Study 02: Insurance Cost Prediction (Linear Regression)
Topics: Understand the structure of a medical insurance dataset, implement both simple and multiple linear regressions, and predict values.
Case Study 03: Diabetes Classification (Logistic Regression)
Topics: Understand the structure of a dataset (PIMA Indians Diabetes dataset); implement multiple logistic regressions and classify; fit your model on the test and train data for prediction; evaluate your model using confusion matrix, and then visualize it
Case Study 04: Random Forest
Topics: Create a model that would help in classifying whether a patient ‘is normal,’ ‘is suspected to have a disease,’ or in actuality ‘has the disease’ using the ‘Cardiotocography’ dataset
Case Study 05: Principal Component Analysis (PCA)
Topics: Read the sample Iris dataset; use PCA to figure out the number of most important principal features, and then reduce the number of features using PCA; train and test the random forest classifier algorithm to check if reducing the number of dimensions is causing the model to perform poorly, and figure out the most optimal number that produces good quality results and predicts accurately
Case Study 06: K-means Clustering
Topics: Analyze data; extract useful columns from the dataset; visualize the data; find out the appropriate number of groups or clusters for the data to be segmented into (using the elbow method); using k-means clustering, segment the data into k groups (k is found in the previous step); visualize a scatter plot of clusters, and a lot more
Intellipaat’s Machine Learning certification is well recognized across more than 500+ top MNCs. As part of this ML training, you will be engaged in various projects and assignments, which include real-world industry scenarios. This way, you can expedite your career effortlessly.
Intellipaat’s Course Completion Certificate will be issued once you successfully work on the project (after expert review) and score at least 60 percent in the quiz.
You would be glad to know that Intellipaat’s certification is recognized by more than 100 top MNCs, including Cisco, Ericsson, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered Bank, IBM, Infosys, Genpact, TCS, Hexaware, and more.
Our Alumni works at top 3000+ companies
Intellipaat provides comprehensive Machine Learning training through hands-on projects and case studies. A few of the many reasons for choosing Intellipaat ML course includes:
Machine Learning is basically the process to collect real-world data, try to extract useful information from it, and then take actions to perform certain tasks without manual programming. It helps systems improve over time on their own by exploring various types of real-world data. It also allows organizations to improve their business strategies by knowing the insights that are extracted by the Machine Learning systems.
No doubt, Machine learning is in high demand and at the same time employers need professionals who have the right skills for building the applications for the future. Here at Intellipaat we create our course by keeping into consideration that learners come from varied backgrounds. So we create our courses from the basic level and gradually increase the difficulty level so that you can easily grasp all the concepts taught as part of the training program. But we make sure by the end of the course you would be equivalent to six month experience professional working Machine Learning engineer.
Intellipaat’s Machine Learning certification course is curated by industry experts who cover both basic and advanced concepts of this trending technology. Further, this course covers all the topics with the help of several real-life examples, which are extremely useful, especially for beginners. Here, you will learn mathematics, statistics, etc. and then go on gaining in-depth knowledge of Machine Learning. So, if you are a beginner in Machine Learning and are aiming to pursue a career in this domain, then this is the best platform for you.
Among various other institutes that provide Machine Learning training, Intellipaat offers this course at the most reasonable and affordable rate. It provides two modes of training, namely, self-paced training and online Instructor led training. Intellipaat’s self-paced Machine Learning training costs about $160, where you will be able to learn from pre-recorded video lectures at your own pace. The online Instructor led training, on the other hand, costs about $265. In this, you will attend live lectures from trainers along with you will receive self paced course access, which will be extremely beneficial.
You can access all the lectures and assignments the moment you enroll in this course. Also, Intellipaat provides lifelong access to the complete courseware for you to refer to it as and when required.
We select instructors who are top SMEs in the industry with a minimum of 8 to12 years of experience in the field of Machine Learning. They are all extremely qualified trainers in the field of Machine Learning and Artificial Intelligence. They are selected after going through a rigorous process, where they are tested for their domain knowledge and training ability.
Intellipaat’s training team consists of dedicated teaching assistants who are experts in Machine Learning, and they help learners in achieving the certification easily. Further, our trainers equip the students well to make sure that they follow the curriculum and become a part of an enriching learning experience.
Yes, Intellipaat offers several group discounts for our classroom training program, depending on the group size and type. To avail the group discount for our Machine Learning training program, you need to contact our course advisor, who will help you with all your doubts regarding the discount offers we provide.
Intellipaat accepts all major debit cards and credit cards. Besides, it offers all EMI options available for you to choose from as per your convenience. You can speak to your course advisor to get more details about different EMI options as well.
If you end up missing a class in this course, then you can contact our support team. Our team will further assist you in scheduling another class for the same topic so that you can catch up with the course also all the sessions are recorded and shared with all participants in LMS (Learning Management system). You can also refer to the recorded session as well for the missed class.
Intellipaat offers the facility of integrated labs that act as a platform for you to execute our industry-based projects. You will be guided through the steps so that you can easily deploy all the necessary tools and further execute the hands-on exercises successfully.
Intellipaat’s Machine Learning training program provides course material that comprises all the modules that are necessary to learn Machine Learning. These pre-recorded video lectures and training material are extremely effective as they allow you to complete the course at your own pace and take your time to learn the concepts thoroughly.
You can speak to our course advisors for detailed information about the course and they will help you select the best course suited for you based on your skillset and work experience.
After successfully completing the entire course and executing all the given industry-based exercises and projects, you will receive the Machine Learning certificate from Intellipaat.
After completing this course, you will be awarded the certification from us and is valid for lifetime.
Intellipaat’s certification is recognized by over 500 top MNCs across the world, including companies such as Sony, Mu Sigma, Cisco, IBM, Standard Chartered Bank, TCS, Infosys, Ericsson, Genpact, Cognizant, etc.
As a part of our online certification course, we provide practice tests, assignments that will help you prepare for real-life examinations and jobs and assess yourself on what you learned and how much you have grasped.
At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.
Intellipaat is offering the 24/7 query resolution, and you can raise a ticket with the dedicated support team at anytime. You can avail of the email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our trainers.
You would be glad to know that you can contact Intellipaat support even after the completion of the training. We also do not put a limit on the number of tickets you can raise for query resolution and doubt clearance.
Intellipaat offers self-paced training to those who want to learn at their own pace. This training also gives you the benefits of query resolution through email, live sessions with trainers, round-the-clock support, and access to the learning modules on LMS for a lifetime. Also, you get the latest version of the course material at no added cost.
Intellipaat’s self-paced training is 75 percent lesser priced compared to the online instructor-led training. If you face any problems while learning, we can always arrange a virtual live class with the trainers as well.
Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.
You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.
Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.
Apparently, no. Our job assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.